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R Programming Homework Help (24x7 R help online)

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Need R programming homework help?

R programming existed as one of the oldest programming languages in the world. With the sudden boom in data science, it has gained immense popularity and students want to understand the subject thoroughly. But R is not an easy language and students need a lot of time to get command over this language. That is the reason students are always on the lookout for expert R help online.

If you are worried about completing your R assignment or homework, you can connect with us at FavTutor. We have a team of experts who are professionals in R programming and have years of experience in working on any problem related to R. Since our inception, we have been helping hundreds of students so you could be the next one to get our R programming homework help.

R is a programming language and software package setting for applied mathematics analysis, graphics illustration, and coverage. The core of R is an interpreted computer language that permits branching and iteration like programming exploitation functions. R permits integration with the procedures written within the C, C++, .Net, Python, or algebraic language. R is a well-developed, easy and effective programming language with good data handling and storage facility It also provides a collection of operators for calculations on arrays, lists, vectors, and matrices.

R is not only used in academics, but many large companies like Google, Uber, Airbnb, Facebook use an R programming language in their products. The most frequent use of R programming is data analysis. Data analysis with R is done in a step-by-step manner like programming, transforming, discovering, modeling, and communicating with the result. Apart from data analysis, R programming is also used for statistical inference and machine learning algorithms.

Being a complex programming language, students always face challenges while working with the R language. It is very tough to learn and understand complicated statistical tools and techniques used by R as a coding language. Let us go through some of the key topics in R where students find a hard time working with.

Key Topics in R

Let us understand some of the key topics of R programming language below:

  • Function: A function could be a set of statements organized along to perform a particular task. R contains a sizable amount of in-built functions and also the user will produce their own functions.
  • Matrices: Matrices are the R objects during which the element is organized during a two-dimensional rectangular layout. They contain parts of equivalent data types. Although we will produce a matrix containing solely characters or solely logical values, they're not of a lot of use.
  • Vectors and Lists: Vectors in R are homogeneous data structures that contain elements of the same data type mostly integer, character, numeric or logical. Lists are heterogeneous data structures containing elements of mixed data types.
  • Data Frames: A Data frame could be a table or a two-dimensional array-like structure during which every column contains values of 1 variable row contains one set of values from each column.
  • Factors: Factors in R are data structures that signify levels and are the most appropriate for categorical variables
  • R packages: Packages in R are basically libraries containing a set of library functions. For example: dplyr is an R package that contains library functions, mutate(), select(), filter(), summarise() and arrange(). In a nutshell, dplyr is the data manipulation package of R. Some other common packages of R include stats, superml, tree, MASS, ggplot2, etc.

ML Algorithms in R Programming

Below are the 6 common machine learning algorithms which are applied using R programming language-

  • Linear Regression: lm() under the stats package is used for training a Linear Regression Model on Training Data in R. It models a linear relationship between features, X, and continuous target y.
  • Logistic Regression: glm() under the stats package is used for training a Logistic Regression Model in R. It models a linear decision boundary for the classification of data points.
  • Naive Bayes: naive_bayes() under the naive Bayes package is used for training a Naive Bayes Model in R. It is a classification algorithm that is based on Prior and Posterior Probabilities.
  • SVM: SVM() under the e1071 package is for training a Support Vector Machine Model in R. Both regression and classification can be performed along with density estimation.
  • Decision Tree: tree() under the tree package is for training a Decision Tree in R. Like SVM, both regression and classification can be performed by binary recursive partitioning.
  • KNN: kNN() under the DMwR package is for training a k-nearest neighbor model in R. It also performs Data Normalization before training the model with Training Data.
  • Clustering: kmeans() under the stats package performs k-Means Clustering on the given data matrix in R. It is an Unsupervised ML Algorithm that is used for segmentation and data-grouping on unlabelled data.

Which R Programming Concepts are Most Difficult for Students?

The following are some subtopics with which students usually face problems, and our R programming experts can help you with them:

  • Complex Coding Structures: R programming involves intricate coding structures that can be intimidating for newcomers. Understanding the unique syntax and structure of R can be a significant challenge, especially for those new to programming.
  • Statistical Complexity:  R is widely used for statistical analysis, which means students must grapple with complex statistical concepts. Learning to apply these concepts effectively within the R environment can be demanding.
  • Data Manipulation Hurdles: While R is known for its data manipulation capabilities, students may struggle to harness this power. Handling and transforming data, especially with large datasets, can be perplexing for beginners.
  • Package Puzzles: R relies on packages and libraries to extend its functionality. Selecting the right packages and understanding how to install and utilize them can be a source of confusion for students.
  • Debugging Dilemmas: Just like any programming language, R can produce errors and bugs in code. Troubleshooting and deciphering error messages can pose challenges for students.
  • Time-Consuming Tasks: R assignments, particularly those involving extensive data analysis or intricate statistical models, can be time-consuming. Balancing these assignments with other coursework can be demanding.
  • Limited Practical Experience:  While students might grasp the theoretical aspects of R, applying it to real-world problems can be challenging. Practical experience is crucial for bridging this gap.
  • Scarcity of Helpful Resources:  Finding accessible and informative documentation and support resources for R can be a struggle. Students often need reliable sources to clarify doubts and enhance their learning.
  • Visualization Vexation: R excels in data visualization, but crafting meaningful and visually appealing plots and graphs can be a daunting task for students.
  • Keeping Up with Updates: R is a dynamic language with frequent updates and new packages. Staying current with the latest features and best practices can be a demanding task for students.

Advantages and Features of R programming language

R is one of the most used programming languages for statistical and analysis purposes. But just like every other programming language, R has its own set of advantages. Check out some of this advantages in detail below:

  • R language is very flexible and hence it is prominently used in the field of data science and statistics. Apart from this, it is also used in the field of biology and genetics to draw out predictions and analyses.
  • As R language is a vector programming language, it is easy to add functions to a single vector without putting it in a loop.
  • It is the best option for business as it is one of the affordable programming languages. It provides amazing visualizations and graphics.
  • It enables us to perform virtual statistical computation in a short amount of time and provide error-free content.
  • R programming language provides the best and most effective data handling and storage facilities.
  • It allows the user to perform multiple calculations at the same time using a single command.
  • R programming language can work on multiple operating systems like Mac, Windows, Linux, etc.
  • It supports the data frames, arrays, and various other data types at the same time and it is also easily compatible with other programming languages.

How our experts provide R help online?

At FavTutor, our R experts help you in teaching any complex R concept and completing your homework or assignments on time. With many years of experience, they are experts in providing best R homework help to college or school students. We value your time and hence help you in completing your assignments on time. You can also connect with our R experts for any query related to the assignment or homework. Moreover, our services can be availed at affordable prices, and students do not feel the pinch of paying through their pocket money. If you are stuck at homework, get Instant R help online and secure better grades.

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As we know that R studio is very difficult to learn, but also it has its own importance in the technical field students and professional always seek help to learn and get help for solving their assignment. On this platform, you will always find our R experts that can provide R studio assignment help as well.

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We guarantee:

  • We will solve your assignment on time
  • We analyze task description with extra scrutiny
  • R code is always well commented
  • Statistics proofs are well explained (unlike your professor's!)
  • We do tutoring – the solution is explained if you wish to learn more
  • Our R expert gets you a high grade (we offer a money-back guarantee)

Which Students Seek R Programming Assignment Help?

Somehow counter-intuitively, R statistics help have become the most popular service that we offer. Because of that, we have a clear picture of who our clients are. We can segregate students seeking R homework help into three categories, based on the subject that they study:

  • Statistics/Math students (~25%)
  • Medical/Biology students (~15%)
  • Social science students (~60%)

Let’s analyze these groups one-by-one:

Statistics/Math students are the ones that already have a background in programming and math. R programming should be easier for them, but many still seek help. Why is that? The main reason is poorly defined curriculum (including poor education quality in low-ranking universities) – the professors require to learn a lot and quickly while putting all the responsibility to learn on students. This is an unfeasible “the more you struggle, the better person you become” strategy. We compensate for the lack of effort your statistics professor makes. Advanced statistics proofs are what such students face daily - it is "not too hard" once you grasp it. But before that (during most of your studies...) you may need statistics homework help.

Medical/Biology students are required to know statistics for proper evaluation of diagnosis and development of treatment plans (of humans or ecology) - and statistics works best when applied to big datasets. And, of course, you need statistics software for that analysis, which most often is chosen as R. P-value evaluation, reinforced learning and other complex decision strategies are a lot to consider on top of getting used to RStudio. Interpretation of the data is not the same as writing the code to perform the statistical test. Everybody knows how tough medical student life already is. Learning to program (very rarely medical students have prior programming experience) sometimes is just too much.

Social science students (economics, political science, psychology, business, etc.) are the majority of our clients. Most of them have never considered learning advanced math and especially programming. This was a mistake that is hard to compensate for in a short amount of time. Hypotheses of social phenomena still originate brains-first, but hypothesis testing must be completed using RStudio. The more computer-literate students are, the more often R data analysis becomes the main tool for testing hypotheses. This is a major trend in social sciences – using population datasets for generating insights, theories, and plans for real action.

An example R assignment and solution of economics or political science student: plot of US monthly unemployment rate by the president:

R ggplot2 graph seasonality adjusted US unemployment rate by president

R Versus Statistics Homework Help - What's the Difference?

The difference is one of practicality. It is one of the old philosophical discussions of data versus theory, thinking versus acting, and so on. You can complete R homework without understanding what statistics logic is behind all that, the same way most of us use computers without knowing how they work. If you look at it from a different perspective - you cannot complete many calculations only mentally, no matter how good your theory is. This is why Excel wins against accounting on paper.

However, it does not matter if it is R or statistics help you seek - the homework help we provide is almost the same in both cases. You don't have trouble using pen and paper for statistics, but you may face trouble setting up your libraries (and the correct version) in RStudio. This is a ridiculous example, of course. By that, we want to emphasize that the difference is mostly in your mind on how you really understand what you are doing. The statistics degree covers it all, but as most are not statisticians - you were likely asked just to "analyze the dataset in R for your homework".

In conclusion - we send you solutions and explanations in both cases. This discussion brings us to the next question.

Why Do Students Have a Hard Time with Statistical Data Analysis?

If we look at the dimensions other than the study subject itself, every student has personal issues from time to time. It just happens that some medical or financial problems do not leave enough time for the hands-on study of statistics and programming.

Interestingly, exchange students are very popular among our clients. The accumulation of life problems, changes in the environment, and general study issues force them to seek assistance with R programming assignments.

In general, professors assume the high computer literacy level of students by default. Most often they don’t even think to tell the difference between R programming language and RStudio interactive developing environment. The confusion builds up and even simple console error understanding becomes an issue.

Problems with R / R Studio

More specifically, R syntax is unlike normal programming language. Many programmers get confused when switching to R (most often from Python or Matlab as they are used for similar data analysis purposes). Common R console errors are caused by:

  • Libraries not installed or out-of-date
  • The file one tries to read is not placed in a working directory
  • Confusion between R (.R), R Markdown (.Rmd) and R Notebook / HTML Notebook (also .Rmd, .nb.HTML)

We just cannot ignore this – too many students have issues with knitting the R Markdown solution. Overall, there are three ways you can write R code:

  • Regular R code
  • R Markdown cells
  • R Notebook (almost the same as Rmd, but different!)

What is R Markdown and How Does It Differ from R?

Using R Markdown you "knit" the solution - it means you execute R code and save the results into various selected formats. Why do we need R Markdown at all? It provides extra functionality like:

  • Automatically creating HTML files to open the solution in a web browser
  • Creating PDF. No need to copy your code and answer from the console to a Word document!
  • Creating a Word document at once
  • Knit to Latex directly (this might save a lot of time…)

What is R Notebook / HTML Notebook and How Does It Differ from R?

R Notebook is very similar to R Markdown. It allows users to create nice-looking reports directly in R without having to copy R code and results to Word or other programs. Both methods allow the user to create an HTML file that includes R code and output alongside the comments of the analysis. However, R Markdown "knits" the HTML, which means that the code is executed during the "knitting" process. R Notebook, on the other hand, simply previews the output that you have already obtained by running the code in your RStudio so there is a risk of compiling an HTML file that does not show the output of all the code or is missing some part of the code that you executed but forgot to include in the notebook.

The R homework help share among regular R, Rmd, and R Notebook is as this:

  • R assignment (50%)
  • Rmd assignment (45%)
  • R Notebook assignment (<5%)

All three homework cases are coded using RStudio! Hope this helps to reduce the confusion about this technical part of R.

Problems with Statistics Homework

Statistical concepts are usually expressed in lecture slides or books using mathematical formulas that are hard to decode; however, they are often intuitive if explained in plain language (since everybody acts on such hidden brain in-built statistics by making daily choices). An extra step from understanding math is implementing solutions in the programming code. R is somewhat helpful at times because it already has functions prepared for the most popular statistical analysis. However, you still need to understand what is being calculated to correctly interpret the results and properly check that your data meets all the assumptions. This is why most statistics assignments ask you to “explain the answer in layman's terms”, this way preparing you for real-life interactions between statisticians and business managers or customers.

When Paying for R Homework Solution Is Worth It?

The answer is context-dependent and complex: it all depends on the situation. People often advise paying attention to the long-term consequences of your actions. The cons of buying R homework solutions are that you spend less time struggling with the task, which means you remember the solution process less. On the other hand, you exchange this time for analyzing the solution itself (not the process).

There are little or no long-term benefits if, for various reasons, you cannot pass a class on your own. This is why statistics homework help is valuable. It solves the problem where it is now because the future is always uncertain.

The biggest advantage of buying R homework help is that you get rid of excessive stress. And as mentioned before, stress (in moderate amounts) facilitates your memorization and learning processes, but too much stress jeopardizes your chances. Where professors fail at personalized education – we assist you in filling in the gaps in R programming knowledge.

What R Libraries Can We Help with?

Our experts can help you work with any R libraries like:

  • tidyverse (general R library including some of the libraries below)
  • plotly (interactive graphs)
  • stargazer (beautiful regression tables)
  • Shiny app (this might be extremely challenging for R newbies!)

You may need R homework help because it is not always possible to google the answer on your own. Most of the libraries mentioned above have well-written documentation, but custom cases are not covered there. You have few choices then: 1) dig into library code 2) persistent trial and error combined with searching in forums online 3) ask for help with RStudio from an expert (most often it is your course's technical advisor).

Which Statistics and Econometrics Books Can We Help with?

We provide R Programming assignment help for solving exercises from such difficult statistics and econometrics books as (in fact, this is also our recommendation list for top quality R resources):

  • Regression models from Jeffrey M. Wooldridge "Introductory Econometrics: A Modern Approach"
  • Time series analysis in "Forecasting: Principles and Practice" by Rob J. Hyndman and George Athanasopoulos
  • Introduction course book called "R for Data Science" by Hadley Wickham and Garrett Grolemund
  • Regression analysis, hypothesis testing, Tidyverse: "Statistical Inference via Data Science" by Chester Ismay and Albert Y. Kim
  • Simon J. Sheather, "A Modern Approach to Regression with R"
  • Christopher R. Bilder, Thomas M. Loughin, "Analysis of Categorical Data with R"
  • Brian S. Everitt, Torsten Hothorn, "A Handbook of Statistical Analyses Using R"
  • Andy Field, Jeremy Miles, Zoe Field, "Discovering Statistics Using R"
  • Fred Ramsey, Daniel W. Schafer, "The Statistical Sleuth: A Course in Methods of Data Analysis"
  • Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, "An Introduction to Statistical Learning with Applications in R"
  • Paul M. Kellstedt, Guy D. Whitten, "The Fundamentals of Political Science Research"
  • R. Carter Hill, William E. Griffiths, Guay C. Lim, "Principles of Econometrics"
  • James H. Stock, Mark W. Watson, "Introduction to Econometrics"

Should You Consider Looking for Programs Other than R?

So you are uncertain if it is worth investing in learning R; why your professor thinks it is worth it? R programming language is widely used for statistical computing in universities and industries. It is free yet powerful , working both on Linux, Mac, and Windows.

  • Easy to create professional-looking graphs (specifically with ggplot2 library)
  • Lots and lots of built-in functions for statistical tests
  • Effective data storage and garbage collection
  • Supports both procedural and object-oriented programming
  • Has a coherent, large, and integrated collection of intermediate tools for data analysis
  • RStudio is a competitive GUI, not worse than alternatives

We also have experience in Python , Matlab, and SQL for data analysis. Overall, R is our top choice. In our opinion, it is worth investing your time getting around the initial R struggles and once it is done - you will never look back. There are reasons R is in the top 10 most popular programming languages while being built for statisticians and data analysts.

Most Popular Statistics Assignments with R

  • Interpretation of coefficients
  • The linearity of the relationship between the dependent and independent variables
  • Normality of residuals
  • Homoscedasticity of residuals
  • No multicollinearity
  • No outliers and influential observations
  • T-test (equality of means for two groups)
  • ANOVA (equality of means for three or more groups) and posthoc tests
  • Chi-squared test for categorical data
  • Coefficient interpretation
  • Calculating odds ratios
  • Estimating probabilities
  • means, proportions, variance, other statistics
  • Autoregressive and moving average models
  • Various smoothing methods
  • Tests for stationarity
  • Detecting and removing trend and/or seasonality
  • Kaplan-Meier curves
  • Estimating survival probabilities
  • Decision Trees
  • Random Forest
  • Bayesian Classifiers
  • Mixture Models
  • Bootstrapping
  • Probability estimates by sampling
  • Gambling games analysis
  • Card game simulations
  • Regular computer science practice: loops, conditionals, etc.
  • String manipulations, parsing, etc.
  • Operation research, linear programming

A standard visualization taken from the R assignment solution looks like this:

R assignment solution survival plot

Economics and Econometrics Assignments

Both economics and econometrics (application of the statistical methodology to economic data) theory add extra constraints on the way modeling is done. These constraints restrict your model to represent reality and economic theory better (it works the same way as conservation laws in physics!). Once such a model is completed, it can explain or predict out-of-sample data with extra precision. This is why we use theory at all.

However, beware that misusing economics or econometrics theory results in poorer performance of your model! This is why deep understanding is necessary. The data in economics and econometrics is primarily time series. It is not a simple regression-like procedure, because there are extra assumptions to be followed (if you are curious, check out the Wikipedia article on econometrics methods ).

Our goal is to provide you with econometrics assignment solutions when lecture slides or books (check out the list of econometrics textbooks mentioned above) fail to guide you through the project requirements. Just keep in mind that it takes time even for professionals - please order an econometrics assignment solution in advance.

If You Still Feel Uncertain – Consult an R Statistics Expert For Free

It is free to get your task analyzed . And we keep the pricing for the solution reasonable. We are aware that students are still in a position of caring much about the price.

By receiving our R homework help, you accelerate the studying process and get solutions from R experts. You learn from the best in the field to become a professional yourself. After graduation, lots of companies want to hire young statisticians and you get paid well. This is the aim of our services - to help students get the most out of their studies.

The solution to your R programming assignment (usually statistics-related) will be provided by making effective use of both the R language and the RStudio environment. This will be possible on account of the ability of the professionals to deal with it easily since they have hands-on experience with R. Since R language also allows the user to define new functions, R expert structures the solution optimally, choosing between inbuilt libraries and writing required custom functions. This makes the use of the language easier and the professionals provide the requisites to the students by making proper use of this feature.

Overall, our team is ready 24/7 to assist with any advanced statistics assignment, no matter if using R programming is required or if it has to be solved on paper. Submit a new order and just relax!

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The cost depends on many factors: how far away the deadline is, how hard/big the task is, if it is code only or a report, etc. We try to give rough estimates here, but it is just for orientation (in USD):

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No, unless it is a data analysis essay or report. This is because essays are very personal and it is easy to see when they are written by another person. This is not the case with math and programming.

It is because we don't want to lie - in such services no discount can be set in advance because we set the price knowing that there is a discount. For example, if we wanted to ask for $100, we could tell that the price is $200 and because you are special, we can do a 50% discount. It is the way all scam websites operate. We set honest prices instead, so there is no need for fake discounts.

No, it is simply not how we operate. How often do you meet a great programmer who is also a great speaker? Rarely. It is why we encourage our experts to write down explanations instead of having a live call. It is often enough to get you started - analyzing and running the solutions is a big part of learning.

Another expert will review the task, and if your claim is reasonable - we refund the payment and often block the freelancer from our platform. Because we are so harsh with our experts - the ones working with us are very trustworthy to deliver high-quality assignment solutions on time.

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Getting Help with R

Helping yourself.

Before asking others for help, it’s generally a good idea for you to try to help yourself. R includes extensive facilities for accessing documentation and searching for help. There are also specialized search engines for accessing information about R on the internet, and general internet search engines can also prove useful ( see below ).

R Help: help() and ?

The help() function and ? help operator in R provide access to the documentation pages for R functions, data sets, and other objects, both for packages in the standard R distribution and for contributed packages. To access documentation for the standard lm (linear model) function, for example, enter the command help(lm) or help("lm") , or ?lm or ?"lm" (i.e., the quotes are optional).

To access help for a function in a package that’s not currently loaded, specify in addition the name of the package: For example, to obtain documentation for the rlm() (robust linear model) function in the MASS package, help(rlm, package="MASS") .

Standard names in R consist of upper- and lower-case letters, numerals ( 0-9 ), underscores ( _ ), and periods ( . ), and must begin with a letter or a period. To obtain help for an object with a non-standard name (such as the help operator ? ), the name must be quoted: for example, help('?') or ?"?" .

You may also use the help() function to access information about a package in your library — for example, help(package="MASS") — which displays an index of available help pages for the package along with some other information.

Help pages for functions usually include a section with executable examples illustrating how the functions work. You can execute these examples in the current R session via the example() command: e.g., example(lm) .

Vignettes and Code Demonstrations: browseVignettes() , vignette() and demo()

Many packages include vignettes , which are discursive documents meant to illustrate and explain facilities in the package. You can discover vignettes by accessing the help page for a package, or via the browseVignettes() function: the command browseVignettes() opens a list of vignettes from all of your installed packages in your browser, while browseVignettes(package=package-name) (e.g., browseVignettes(package="survival") ) shows the vignettes, if any, for a particular package. vignette() is employed similarly, but displays a list of vignettes in text form.

You can also use the vignette("vignette-name") command to view a vignette (possibly specifying the name of the package in which the vignette resides, if the vignette name is not unique): for example, vignette("timedep") or vignette("timedep", package="survival") (which are, in this case, equivalent).

Vignettes may also be accessed from the CRAN page for the package (e.g.  survival ), if you wish to review the vignette for a package prior to installing and/or using it.

Packages may also include extended code demonstrations (“demos”). The command demo() lists all demos for all packages in your library, while demo(package="package-name") (e.g., demo(package="stats") ) lists demos in a particular package. To run a demo, call the demo() function with the quoted name of the demo (e.g., demo("nlm") ), specifying the name of the package if the name of the demo isn’t unique (e.g., demo("nlm", package="stats") , where, in this case, the package name need not be given explicitly).

Searching for Help Within R

The help() function and ? operator are useful only if you already know the name of the function that you wish to use. There are also facilities in the standard R distribution for discovering functions and other objects. The following functions cast a progressively wider net. Use the help system to obtain complete documentation for these functions: for example, ?apropos .

The apropos() function searches for objects, including functions, directly accessible in the current R session that have names that include a specified character string. This may be a literal string or a regular expression to be used for pattern-matching (see ?"regular expression" ). By default, string matching by apropos() is case-insensitive. For example, apropos("^glm") returns the names of all accessible objects that start with the (case-insensitive) characters "glm" .

help.search() and ??

The help.search() function scans the documentation for packages installed in your library. The (first) argument to help.search() is a character string or regular expression. For example, help.search("^glm") searches for help pages, vignettes, and code demos that have help “aliases,” “concepts,” or titles that begin (case-insensitively) with the characters "glm" . The ?? operator is a synonym for help.search() : for example, ??"^glm" .


RSiteSearch() uses an internet search engine (also see below ) to search for information in function help pages and vignettes for all CRAN packages, and in CRAN task views (described below ). Unlike the apropos() and help.search() functions, RSiteSearch() requires an active internet connection and doesn’t employ regular expressions. Braces may be used to specify multi-word terms; otherwise matches for individual words are included. For example, RSiteSearch("{generalized linear model}") returns information about R functions, vignettes, and CRAN task views related to the term "generalized linear model" without matching the individual words "generalized" , "linear" , or "model" .

findfn() and ??? in the sos package, which is not part of the standard R distribution but is available on CRAN, provide an alternative interface to RSiteSearch() .


help.start() starts and displays a hypertext based version of R’s online documentation in your default browser that provides links to locally installed versions of the R manuals, a listing of your currently installed packages and other documentation resources.

R Help on the Internet

There are internet search sites that are specialized for R searches, including search.r-project.org (which is the site used by RSiteSearch ) and Rseek.org .

It is also possible to use a general search site like Google , by qualifying the search with “R” or the name of an R package (or both). It can be particularly helpful to paste an error message into a search engine to find out whether others have solved a problem that you encountered.

CRAN Task Views

CRAN Task Views are documents that summarize R resources on CRAN in particular areas of application, helping your to navigate the maze of thousands of CRAN packages. A list of available Task Views may be found on CRAN.

R FAQs (Frequently Asked Questions)

There are three primary FAQ listings which are periodically updated to reflect very commonly asked questions by R users. There is a Main R FAQ , a Windows specific R FAQ and a Mac OS (OS X) specific R FAQ .

Asking for Help

If you find that you can’t answer a question or solve a problem yourself, you can ask others for help, either locally (if you know someone who is knowledgeable about R) or on the internet. In order to ask a question effectively, it helps to phrase the question clearly, and, if you’re trying to solve a problem, to include a small, self-contained, reproducible example of the problem that others can execute. For information on how to ask questions, see, e.g., the R mailing list posting guide , and the document about how to create reproducible examples for R on Stack Overflow.

Stack Overflow

Stack Overflow is a well organized and formatted site for help and discussions about programming. It has excellent searchability. Topics are tagged, and “r” is a very popular tag on the site with almost 150,000 questions (as of summer 2016). To go directly to R-related topics, visit http://stackoverflow.com/questions/tagged/r . For an example both of the value of the site’s organization and information that is very useful to R users, see “How to make a great R reproducible example?” , which is also mentioned above.

R Email Lists

The R Project maintains a number of subscription-based email lists for posing and answering questions about R, including the general R-help email list, the R-devel list for R code development, and R-package-devel list for developers of CRAN packages; lists for announcements about R and R packages ; and a variety of more specialized lists. Before posing a question on one of these lists, please read the R mailing list instructions and the posting guide .

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What Is The R Programming Language?

R is an open-source programming language. It is also a free software environment for statistical computing and graphics. Likewise, the S language is also a GNU project. Robert Gentlemen and Ross Ihaka have developed the R programming language in New Zealand. It is used for statistical computations and data analysis. R is the best programming language to perform statistical techniques such as Regression modeling, classical statistical tests, time-series analysis, data mining, classification, clustering, etc.

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What Is R Studio?

In order to install the R programming language, we'll need an IDE (Integrated Development Environment). Do you know what an IDE is? if you've worked with other programming languages you have heard about IDE.

An IDE is a platform in which we need to install a programming language. For example, in a python programming language, we use Jupyter notebooks as an (IDE). We use the Eclipse IDE for Java development. Similarly, R-Studio is the IDE for the R programming language. It assists you in making your programming effort more manageable. Our specialists will assist you in your R Programming Assignment help including R studio assignment help.

Advantages of R Programming Language - You Should Know

R is a popular programming language used for statistical analysis, data visualization, and machine learning. Here are eight advantages of R:

Open source

R is an open-source programming language, which means that anyone can access, use, and modify its code. This makes it easier for users to customize and enhance their analyses as needed.

Powerful statistical analysis

R is widely used for statistical analysis and modeling, with a vast library of functions and packages available. It is particularly well-suited for exploratory data analysis, linear and nonlinear modeling, and time-series analysis.

Data visualisation

R has a wide range of powerful visualization tools, including ggplot2, lattice, and base graphics. These tools make it easy to create informative and visually appealing charts, graphs, and plots.

Integration with other languages

R can be easily integrated with other programming languages, such as Python and SQL. This allows users to take advantage of the strengths of each language and use them together in their analyses.

Large and supportive community

R has a large and active community of users, which means that users can get help, share code, and collaborate with others easily.

Reproducible research

R supports reproducible research by providing tools for creating reports and documents that contain both code and results. This makes it easy to share and reproduce analyses, which is particularly important for scientific research.

Machine learning

R has a wide range of machine learning libraries and packages, including caret, randomForest, and neuralnet. These tools make it easy to build and deploy machine learning models for a variety of applications.

Cross-platform compatibility

R is available on a variety of platforms, including Windows, macOS, and Linux. This makes it easy for users to work with R on the platform of their choice.

Disadvantages Of R Programming Language

R programming has weak origin.

R is related to a much older programming language called "S." Its base package, thus, does not allow dynamic or 3D graphics. It is possible to produce vibrant, 3D, and animated visuals using ordinary R tools such as Ggplot2 and Plotly.

Basic Security

R is insecure in many ways. Most programming languages, such as Python, include the essential feature of security. As a result, R has several limitations, including the inability to be incorporated in a web application.

The language that is difficult to understand

R is a complex language to master. The learning curve is very sharp, which makes this language difficult to master. As a result, those who have never programmed before may find it challenging to learn R.

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R programming sample 1

Adding the shape and color

Adding the shape and color

Statistics layer

Statistics layer

Adding coord_cartesian()

Statistics layer

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Many years ago, R was considered a difficult programming language as it was confusing and less structured as compared to other coding languages. Hadley Wickham created various packages to make it faster, easier, and more fun. Now, graph creation is not difficult anymore. With our R Programming assignment help service, anyone can easily implement the best algorithms of machine learning.

R can easily communicate with other programming languages such as Java, Python, C++, etc. Moreover, R provides connectivity with different databases like Hadoop or Spark. Various packages such as TensorFlow and Keras enable the creation of high-quality machine learning techniques. Moreover, it provides a package to perform Xgboost, which is the most suitable algorithm for the Kaggle competition.

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row_names = c("row1", "row2", "row3") col_names = c("col1", "col2", "col3") M = matrix(c(1:9), nrow = 3, byrow = TRUE, dimnames = list(row_names, col_names)) print("Original Matrix:") print(M) print("Access the element at 2rd column and 3rd row:") print(M[3,2]) print("Access only the 1st row:") print(M[1,]) print("Access only the 2nd column:") print(M[,2])

"Original Matrix:" col1 col2 col3 row1 1 2 3 row2 4 5 6 row3 7 8 9 "Access the element at 2rd column and 3rd row:" 8 "Access only the 1st row:" col1 col2 col3 1 2 3 "Access only the 2nd column:" row1 row2 row3 2 5 8

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Materials for teaching

r studio assignment help

RStudio offers several resources to make it easier for you to teach R, ranging from semester-long courses to more intense (but much shorter) workshops.

Most teachers enjoy developing their own instruction materials, but the need for exercises, homework, exams, slides, and other supporting materials make this a big job. Below are some open source materials developed at RStudio and elsewhere that you can freely adapt and use for your R teaching.

Get a complete data science course in a box . Data Science in a Box contains the complete materials for teaching a semester-long introductory data science course. The “box” contains materials for an undergraduate level introductory data science course, such as slide decks, homework assignments, guided labs, sample exams, a final project assignment, as well as materials for instructors such as pedagogical tips, information on computing infrastructure, technology stack, and course logistics. The website exposes the source materials that live in a GitHub repository and use datasets from the dsbox package .

Teach with STAT 545 . STAT 545 is a course in data wrangling, analysis, and exploration in R with RStudio. Although the course was designed as a graduate-level, semester-long introduction to data science by Dr. Jennifer (Jenny) Bryan , the free online materials Jenny developed have been a valuable resource for self-directed learners and other educators. In Jenny’s own words, STAT 545 was designed to teach “everything that comes up during data analysis except for statistical modelling and inference ." The education team at RStudio has recently ported the original materials into a modern and more maintainable bookdown website .

Use R for Data Science in the classroom. Many educators use the free online book R for Data Science as a course textbook. There is also an R for Data Science Instructor’s Guide , which contains notes for people teaching R for Data Science with each chapter’s learning objectives and key points. The “unofficial” R4DS Solutions Manual , a community resource developed by and for educators, is also helpful if you want to use R4DS in the classroom.

Many of you may have taken workshops from the RStudio team, but did you know that all of RStudio’s workshop materials are available for you to use in your own workshops? Below are a few of the more popular workshop respositories proven popular with teachers:

Teach the Tidyverse. Master the Tidyverse is an award-winning two-day introduction to doing data science with the Tidyverse . This repository contains instructor materials (Keynote slides and exercises) for teaching this workshop. You can teach the workshop as is, adapt it to your needs, or divide it into two one day workshops: Welcome to the Tidyverse , which covers Exploratory Data Analysis, and Data Wrangling with the Tidyverse . See the README for teaching tips.

Teach Shiny. This workshop is designed for those who want to up their teaching Shiny game, and is particularly aimed at training partners who want to qualify as an RStudio Certified Shiny Instructor and at those who are R and Shiny advocates in their organizations.

Teach R Markdown. If you want to teach R Markdown, we have designed several workshops for teaching the basics to the more advanced topics. You can find the materials for a full two-day workshop on Advanced R Markdown ( source ), a four-hour introductory workshop on R Markdown for Medicine ( source ) aimed at clinical researchers, and a full-day workshop on Communicating with R Markdown ( source ).

Teach everything else! At the RStudio Education GitHub Organization instructors can find the materials for all workshops taught by the RStudio Education team. All of these workshop materials are openly-licensed and freely-available for reuse. Please follow the reuse guidelines outlined in the licenses in the specific repositories, and enjoy leveraging quality teaching materials designed and developed by our team!

  Take me to: tools for teaching .

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Faq: homework policy, can i ask questions from a course i am taking here, general questions are always welcome.

Please do ask general questions about things like:

  • How to use R
  • How to use the RStudio IDE or RStudio Cloud
  • How to work with tidyverse packages
  • Where to find resources to help you learn or solve problems

Specific questions can be OK, if you follow these rules:

  • Never copy-paste instructions from an assignment (even for online courses).
  • Explicitly mention the course you are taking and use the # homework tag .
  • Ask your question as a reproducible example (reprex) , preferably prepared for posting using the reprex package .


Is this a good place to ask questions from homework or a problem set?

This site hosts discussions among people working with R and its many add-on packages, including the Tidyverse package collection, and for people working with RStudio software products. It may not be the best place to get help with your specific problem.

This shouldn't be the first place you ask your question


Even if your instructor has mentioned this site as a place to seek help, please don't post here before first asking for help within your course. (In the unlikely event your instructor has told you to come here first, feel free to point them to this FAQ!).

Posting all or part of your assignment word-for-word is not allowed here

Copying and pasting text from your assignment may undercut your instructor’s course materials, and it violates most schools' academic integrity policies. This rule still applies even if what you're working on comes from a MOOC or an online learning platform. Many people here are happy to help you solve problems and learn to become a better data scientist, but we do not want to offer a repository of copy-paste solutions.

What's the best way to ask a specific homework-related question?


Tag your question as # homework and say that you are working on an assignment

Course assignments often have artificial constraints. It's frustrating for you and for your helpers if they take the time to offer help you can't use because it doesn't fit with your course requirements.

Helpers often prefer to answer questions in a different manner if they know you are a student. They may explain things in more detail or be more willing to walk you through finding the solution yourself.


Narrow down your problem to the specific reproducible issue you’re stuck on.


If you can't figure out how to ask a "homework inspired" question without copying and pasting the actual text of your assignment, then you probably need to do some more work to narrow down where you're stuck. This is a good time to ask for help from classmates, teaching assistants, or your instructor.

Read our tips for asking code-related questions , and follow them!


Got something to ask? Or add? FAQ posts are closed to replies. If you have any questions or suggestions, please visit the corresponding discussion thread: FAQ Discussion: Homework Policy

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How to Get Help With Programming in R With Online Resources

How to Get Help With Programming in R With Online Resources

Writing a programming assignment is not an easy task for many students. In the modern education system, students need R programming assignments because of the increased pressure of tasks and the growing need for outdoor activities—That’s why students look for help with programming in R .

Several online services are the pioneer in giving R programming help service to students who are looking for R programming help. They put their every effort into providing the best quality assignment help so that students can score the best grades for their subjects. This makes it very difficult for the students to complete their tasks with full focus, and thus they seek the R programming experts’ help. 

Our professional programmers are well-trained professionals and need to go through precise training before giving computer science help to the student. 

There are different online resources available but choosing which one is best for you is not easy. Therefore In this blog, we have included all the required information regarding how you can get help with programming in R .   

Why Do Students Need Best Help With Programming In R?

Table of Contents

In the computer science field, there is a major problem with students when they are pursuing a study in computer science. They see each programming course as theoretical. If you are reading R programming theoretical concepts without strong implementation, then R programming is hard to understand.

Are you Facing issues with your R programming assignment?? Get The solution from here…!! Get the best  R programming assignment help  from highly experienced professionals

There are two things you need to understand: one understands the theoretical concepts and, secondly, performs these concepts. There are many programming frameworks accessible to compose your code or make an application.

Utilizing programming can run on desktop applications, web applications, animation, and various other projects. The best Programming assignment help provided by Us takes care of these fundamentals and most of our instructors are experts with every programming task.

How To Get Help With Programming In R

There can be several ways to get help from online resources but below we have mentioned some of the best tips that will help you choose the best help with R programming:

1) Do a deep research

Students always feel lazy when they spend time searching for the best online programming help. It can result in poorly written R programming task writing services. It will not help you anyway. Remember that poor writing service will not lead you anywhere in your studies. Neither you will get anything from them, nor will it get you good grades. If you want to improve your grades, you will have to find genuine R programming writing services.

You will have to give enough time online to find genuine writing services. Doing this is not a waste of time; it will also provide you with information on different services in the market and give you proper guidance to find proper writing services.

2) Check The Experience of The Website and Programmers

If you are looking for help with programming in R , you can’t get it by taking a random R programming help service. It would help if you had someone to guide you to find the best R programming service. Make sure you do in-depth research regarding their programmers and that company, and before taking their help.

The research process includes checking the knowledge and experience of a company and programmers. Make sure their programmers have years of knowledge in the field of R programming. You can’t risk your grades in the hands of programmers who have no experience at all. The deep knowledge and rich knowledge of that programmer or company tell about the quality of services they provide to students.

3) By Giving Them Basic R Programming

This might sound crazy to you, but several programmers think of themselves as programmers who can write any program. But still many failed this test also. That’s why we have examined various cases in which programmers have failed to write just a simple ” Hello World” program.

Therefore, we suggest you take a test of a programmer before assigning your assignment to that person. These tests must be taken online, and the purpose is not to show that the applicant is any R programming genius, but that one acknowledges what the programming is all about with its syntax. The number of services is there that take online code screening, and these might be like Codility, Interview Zen, and much more.

4) Check The Sample of Their Work

The expert programmers never hesitate to give a sample of their work if you ask them. In this way, you can check their knowledge and how they are executing the programs. If they refuse to provide samples of their work, that means they don’t have enough knowledge of R programming, or the company is a fraud.

You should make sure that you chose the best help with programming in R . They should give the best samples of their work experience. So you can see that and find out if the best service works for you.

5) Check Their Online Portfolio

R programmers can get more value by showing his/her work portfolio that they have achieved to date. There is no need to elaborate. Learners see the important details of programmer awesomeness that they have submitted on the Internet.

Provide students a Stack Overflow Portfolio where one can check the different communicators and problem solvers you are. Share forms that a programmer has designed, or online sites programmers worked on, and explain other parts so that learners have an idea about how you can help them with their programming assignments.

Besides this, examining what sort of work individuals have prepared, and what kind of artifacts one has performed, is amazingly effective in obtaining a sense of what you do as a programmer and what you are best at.

6) By Checking the Website Interface 

When you are looking for online R programming help , make sure you check its interface . The site’s interface may be attractively designed, and bright colors may be used to attract the visitors’ attention. The foremost thing that a person requires to pay attention to is the content. The text on the web page should not include any spelling or grammar errors as it shows the company’s approach to its writing service. 

You can find many websites if you start searching for online help with programming in R randomly. But here, we have discussed some of the best tips that will help you find the best programmers for your R programming assignment help . Follow the above tips that will help you guide to R programming tasks and complete your assignment on time, and it will also help you overcome many problems.

If you are still facing a problem with completing your R programming or any other programming assignment. You can take programming assignment help from our professional programmers. We helped students across the world complete their assignments on time, get good grades, and at the same time, learn their school lessons.

There’s no doubt that many teachers are handing out assignments that are hard to complete on time. Some assignments can be about an unknown subject. But the truth is, often, the students need assignment help. It is your best decision when you have a lot of tasks to complete but still want to have free time .

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Professional RStudio Homework Helpers

Did the professor leave another burdensome R studio programming assignment, and you're just wondering who will be your savior this time around? Perhaps you've been struggling to find legitimate and reliable programming homework help online to no avail. But don't give up yet.

While we must appreciate getting legitimate and reliable R programmers for your assignments is the nigh impossible, we must also recognize the few diligent individuals who are always willing to go the extra mile to ensure students get excellent grades.

Like any statistical course, the R programming language isn't a walk in the park. Students often encounter challenging concepts and bugs that compel them to request R programming assignment help from online tutors.

Since this course is offered mainly to mathematical science students--like actuarial science, statistics , financial engineering--, they definitely find it challenging, perhaps because they have a poor programming background.

But that doesn't mean it's a cup of cappuccino for computing students, NO. It's only that they have some programming background. So they also consult online assignment writing services when overwhelmed.

But first things first.

What Is R Programming?

R is a statistical computing and graphics programming language developed by two New Zealand software engineers--Ross Ihaka and Robert Gentlemen. It's an open-source programming language that forms part of the popular GNU project, with many similarities with the S programming language.

The S programming language was developed at Lucent Technologies (Bell Technologies), previously known as AT&T, by statistician John Chambers of Ohio state, USA. Due to their close relationship, R is considered the execution of S language.

For over two decades now (since 2000), R programming has become more than just a statistical computing language. It has found massive Artificial Intelligence and machine learning applications, and its contribution to the data science ecosystem is tremendous.

Like every other programming language-- Python , Java, Javascript , C, C#, etc., students getting their feet into R programming often find it challenging. Grasping the mathematical aspect and then translating it into source code cannot walk in the park. It takes time, practice and resilience to pull through.

But now that your professor may not be patient until you've understood the R programming language consulting R programming assignment help providers could be the only way out of getting good grades in your assignments. The good thing is, you don't need to go a long way-- Our R programmers are ready and willing to offer homework help across any concept and at very affordable rates.

What Is R Studio?

Now that you've understood a bit about R programming, this is a good place to introduce you to R studio. And it's simple.

R studio is the best and only available Integrated Development Environment (IDE) for R. An IDE is software that provides a specialized and well-designed environment for writing your source code in the desired programming language. For instance, if you've ever programmed in C, most likely you used CodeBlocks--the most popular IDE for C and C++.

R studio is developed using three main programming languages--Java, Javascript, and C++. So basically, you can run the desktop app on your PC, or run it on your browser, provided you're connected to the Rstudio server (Pro).

Whether you use Windows, macOS, Ubuntu, OpenSUSE, Red Hat Linux, or Fedora operating systems, the open-source Rstudio will run perfectly. If you experience any challenges installing or getting your hands on the environment when writing your code, our r studio experts will be here to offer specialized support.

Note that R studio is not only meant for R. You can write source code in Python, Javascript, SQL, C, Fortran, etc., alongside your Rmarkdown file. But regardless of the language, you can trust our best r programming assignment help experts got your back.

Common Concepts Where Students Request RStudio Assignment Help

Data analysis.

Whether you've enrolled in college for a data science program or a self-taught data scientist, there's the reality you cannot run away from--data analysis is challenging, and students need help. Everything from setting up an R studio on your computer to performing complex statistical computing can seem weird at first sight.

But with the right assistance from professional R programming language assignment help service providers, you can be sure to maintain a smooth data analysis learning curve. Contact GradeWriters for expert r programming assignment help. In addition, our assignment experts will help you with statistical computing and graphics homework.

Regression modeling

Generally, regression analysis is a statistical technique used to estimate the value of an unknown (dependent) variable from the known (independent) variable. To do that, an equation relating the two is formed, from which different values of the known variable can be plugged to obtain values of the dependent variable.

Get in touch with our R programming language experts if you need help with your R studio homework. Get the best help with r by contacting our programming assignment help writers. We ensure that we submit plagiarism-free R assignments.

Regression analysis

Simple Linear Regression (SLR) is one in which we have a single independent variable, meaning we deal with a straight line equation. On the other hand, logistic regression involves two or more independent variables.

Logistic regression is more demanding than SLR, and most students will definitely need R assignment help. Fortunately, our R studio assignment help experts are always available to offer assistance. You only need to send us an email or speak with one of our customer support agents on the live chat to connect with an R programming assignment help tutor.

Time series analysis

As the name suggests, time series analysis in R studio involves computations that analyze the behavior of a given set of data over a period of time. One good example is how exchange rates in the stock market vary with time. While students find some time series analysis questions easy to solve, it's also true others are quite challenging.

But the good thing is, there are tons of online R programming assignment help platforms where you can have R programming assignments done at affordable rates. For instance, at GradeWriters , we have experts who handle anything time series analysis in R language.

Data mining in R

Data mining is a critical aspect of data science. It involves obtaining raw data from different sources and turning it into useful information. For instance, students may be assigned a web scraping task in R to collect raw email addresses for professionals in a certain field and analyze them to pick out the most favorable prospective client and their email addresses.

When choosing the data mining expert to work with, we always encourage students to consider professionals who have worked on projects similar to the R studio assignment. That's because data mining in R programming has many facets and requires niche expertise. For R data mining homework, be sure to contact our r programming assignment help experts .

Data warehousing

Once you've collected the data, you can now organize it into data warehouses. Data warehousing is a concept which involves grouping unrelated (heterogeneous) data into a single data store. Students can now use the data to draw inferences and make decisions.

Data warehousing is one of the concepts that most students in college struggle with. Even after attending lectures and watching online R programming tutorials, you may not handle all the area assignments. However, online R programmers may help.

Other R studio concepts

Importance of consulting online r programming assignment help, get a solid understanding of r programming basics.

If you're starting your R programming journey, we recommend that you learn alongside a mentor. Besides offering you quality assignment help, you will learn the best programming practices in R, which will improve the efficiency of the code you write. Remember, programming is not just about writing code that works. NO. Efficiency is critical!

Reliable programming assignments help improves your learning curve

The reason why most students never scale up fast is because of inconsistent learning. As an aspiring R developer or data scientist, you don't want to cut your dreams short too soon. Engaging degree holder experts or individuals who have worked in the R programming ecosystem for a long period keeps you motivated--you'll never get overwhelmed or want to quit.

Assistance on any other programming language

As we mentioned earlier, R studio can help embed code written in other programming languages into the markdown file. In that case, you can request R programming assignment help from experts on whatever programming language and still have it done excellently. Moreover, such R programming homework help saves you time from switching from one assistant to another.

Get Professional R-Studio Programming Homework Help

Now that you understand what R and R studio entails, it's time to do the next thing right. And that is choosing your homework help platform.

As we have always emphasized, the best r programming assignment help platform should always be reliable. You don't want to send your urgent question, only to receive a response after one week or two. For that reason, our customer support doors are open 24/7. Ask for professional homework help any time!

Also, we've tuned the rates for our writing services to serve the neediest student. We understand you don't have a job yet, so it would be illogical to charge you exorbitantly.

And above all, our assignment experts are always willing to go the extra mile to ensure you get the best grades and understand the concepts.

So, why not contact us today for all your R programming language assignments?

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We provide R assignment help of exceptional quality

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R Programming Assignment Help | R Homework Help Online

R is one of the most widely used tools for data processing and analysis. It finds applications for both academic and professional purposes. R programming language is used by companies globally. With the increase in demand for data science, there is a huge demand for R programming. Universities and colleges have introduced R as part of the curriculum and students are required to understand the concepts of R programming thoroughly. However, it is not so easy for students to learn R programming in a short time. If you are one of such students, then avail the best online R assignment help from us.

We have a team of 100+ R experts who carry an in-depth understanding of R concepts and applications. Our experts leverage their experience to offer  instant R homework help . With the unique step-by-step approach, we assure an A+ grade in R assignments and projects.  We are the most trusted and reliable  R assignment help  provider for students across the globe.

What Is R Programming?

R is an open-source programming language that is used to create the best software environment to do statistical computing and preparing graphics. This statistical language is used by statisticians, data analysts, and data miners to mine data and do statistical data analysis. The popularity of this language can be seen when the researchers are conducting polls, surveys, and other literary works. 

The excellent part of R Programming is that it saves time and helps deliver accurate results. This is also efficient in handling data and storage facilities. R Programming language is compatible to use with C, C++, Java, FORTRAN, and .Net. It can run on almost all operating systems including Linux, UNIX, Windows, Mac, and others operating systems. The best thing is that it allows integration with other statistical software like  SAS  and  SPSS . This plays a critical role in carrying out clinical trials, research works, and medicine. 

R Programming is one of the most popular software used across various industries and hence many students take this subject as a part of their coursework. If you are one of the students who need  R Programming Assignment Help  to secure excellent grades in your coursework, then seek help from our statistics assignment help experts. We provide affordable and quality work within deadlines ensuring 100% accuracy.

Which students need R Programming Assignment Help?

R programming assignment help is a popular service that is offered by us. The students who avail of R programming help include:

Math/ Statistics Students : Though R may be easier for such students, they would need the help of experts due to a lack of time or knowledge on the topic. Some of the universities have a very rigorous curriculum. If you are given the task to complete an R assignment and you are struggling with it, you can seek our experts' help. We offer  quality R assignment help.

Medical/Biology students : We are all aware of how busy the life of medical students would be. Learning how to program is a humongous task for students. However, by taking our R programmer's help you can get the required assistance in solving R programming assignments flawlessly. The task completed by our experts will help you secure the best grades in the examination. 

Business Analytics/Intelligence Students : Business intelligence and intelligence use R programming, which is designed exclusively for statisticians. This is used for statistical computations and generating rich graphics. It is a widely used language by mathematicians, data miners, data scientists, and statisticians for doing data analysis. 

Data Science  Students : Data science students are used to handling, storing, and thoroughly analyzing data. It is widely used for data modeling and analyzing data. By learning R for data science, students can perform statistical analysis and develop data visualizations. Data science students may find it difficult to work on the assignments. However, by seeking our help, students can get the required help on time.

Multiple R Programming Assignment Help offered by us

R studio assignment help :.

IDE is required to learn R programming. IDE is the platform that allows you to install the programming language. For instance, for the Python programming language, the Juyter notebook will be used as an IDE. Eclipse IDE will be used for Java development. R studio is an IDE that is used for R programming. It helps you to manage all your programming efforts easily. 

R Markdown Assignment Help :

R Markdown is used to execute the R code and allows you to save the results in various formats. There are different functionalities that are offered by R Markdown such as it helps you to automatically create HTML files to let you open the solution in the browser, and create a pdf file. There is no need for you to copy and paste the code and get the answers from the console. You can easily create a Word document.

R Notebook Assignment Help :

R Notebook is similar to that of R Markdown. This enables you to create appealing reports in R without having to copy the R code and move the results to Word and various other programs. Using R Notebook, you can create an HTML file, meaning that the code is executed with the help of a knitting process. R Notebook previews the output that you get by executing the code in RStudio. 

R Shiny Assignment Help :

Shiny is an R package that makes it easier for you to create web applications using the R programming language. You can also embed applications on the web pages embed them in R Markdown docs or use them to develop dashboards. The Shiny apps can be used for JavaScript actions, HTML widgets, and CSS themes. 

Master the Libraries in R from our R Programming Experts

Few of the libraries in R include:

tidyverse  (general R library including some of the libraries below): Tidyverse is the most critical R package of data science. There are various other packages that are available under Tidyverse that help you to interact with the data with ease. There are many things that you do with the data like visualizing, transforming, and subsetting. It offers all utilities that are required to clean the data. 

Ggplot2 : Ggplot2 is the widely used open-source visualization package that is a part of the statistical programming language R. The package is a plotting package that lets you create complicated plots using the data that is in the data frame. There is a programmatic interface to specify the type of variables in the plot, how to display them, and various visual properties. 

Dplyr : It is the critical package of Tidyverse in R programming language. It contains a lot of functions that are used to manipulate data frames in an interactive way. The majority of data analysts make use of this library to transform the datasets that are available currently into the format that is suitable for you to carry out data analysis and visualization. 

Tidyr : It is an R package that has R functions, compiled code, and sample data. It is stored in a directory called the library in the R environment. When installing the R package, by default this package is installed. The purpose of this package is to make the process of creating Tidy data simple.

Stringr : The Stringr package would offer a lot of functions that work with strings. The package will offer you wrappers and simplify the manipulation of using character strings in R language. 

Plotly  (interactive graphs): It is the R graphing library that would allow you to make highly interactive graphs. These allow you to make scatter plots, area charts, bar charts, histograms, subplots, 3D charts, and so on. 

stargazer  (beautiful regression tables): It is an R package that allows you to create Latex code, HTML code, and ASCII text to create a properly formatted regression table. 

R Markdown : It is a file format that allows you to make dynamic documents using R. The R Markdown is written in the Markdown language and has huge chunks of embedded R code.

Shiny app : This might be extremely challenging for R newbies! The shiny app allows you to develop highly interactive web apps. The best thing about this app is that it lets you extend R code to the web. 

Learn such Libraries in R and get the required  R Data Science assignment help  from our trusted experts. We ensure that all your data science projects are delivered on time with high quality.

ML Algorithms in R Programming

There are six different types of machine learning algorithms that are widely used in the R programming language:

Linear Regression:  Im () package that in linear regression model would be widely used for training the data in R programming. It also offers a linear relationship between x, y, and various features.

Logistic regression:  Glm () is a kind of stats package that is used for training the logistic regression in R. It has a linear decision boundary that would help you to classify various data points. Submit your assignment today to seek R Logistic regression assignment help.

Naive Bayes:  Naive_bayes () is a package that is available under naive Bayes that is widely used for training the Naive Bayes model available in R. It is a kind of algorithm that is based completely on the Prior as well as Posterior probabilities. 

SVM:  SVM () is a package that is available under the e1071 package which allows you to train the support vector machine model in R. Regression as well as classification will be used for estimating the density. 

Decision tree

Tree () is available in the trees package that is used to train the decision tree available in R. Similar to SVM, both regression and classification would be done through binary recursive partitioning. 

KNN:  kNN () is a DMwR package used to train the k-nearest neighbor model in R. Data normalization can also be done prior to using the training model to train the data. 

Clustering:  Kmeans () is the stats package that would let you do k-means clustering on the data matrix that is available in R. This is the unsupervised algorithm that lets you segment and group the data that is labeled. Reach out to us for R clustering assignment help.

Learn all such Machine Learning algorithms through applications of R from our proficient experts. Submit your requirements with us and avail instant R   Machine Learning Assignment Help .

Features or Advantages of R Programming Language

R programming language would be used for statistical analysis. Students who find it difficult to complete R programming can seek the help of our experts. Language has its set of advantages or features. These include:

  • R language is highly flexible and is widely used for statistics and data science. It is also used in genetics and biology for doing future predictions and data analysis. 
  • R language is a vector programming language that allows you to add a series of functions into a single vector without having to maintain any loop
  • It is a cost-effective programming language that allows you to analyze data and graphics.
  • It allows you to carry out statistical computation in a short time and enables to handle data and offers a storage facility 
  • It supports various data types, arrays, and objects and you can also use this with other programming languages without any roadblocks. 

Master all such features of R Programming through a unique step-by-step from our statistics experts. We offer very affordable yet reliable  R Programming assignment help .

Why use R for statistical computing and graphics?

A few of the reasons to use R programming for statistical computing and graphics include:

Open source and free : You can easily download this programming language under the license GNU. The source is available to check what is happening. R package can also be accessed with the same license and therefore can be used to execute commercial applications. 

Popularity : It is the general-purpose language compared to C#. It is not just used for developing apps, but also used in the field of data science and machine learning. 

Run on various platforms : You can run this on various platforms like Windows, Linux, and Mac. You can write the code on one platform and can import the code that is written on this platform to another platform.

Increase the job opportunities : People who have knowledge of R programming can become data scientists and the job opportunities for them are huge in the market. 

Applications of R programming in the real world

There is a myriad of uses of R programming globally. A few of the applications of this programming language include:

IT sector : IT companies will use R programming to gain business insights and it is widely used in small, medium, and large companies. They use this to develop AI products. It is used with devices that deal with information.

Banking : Banks will make use of R to display credit chances and to carry out studies on various hazards. The banks will make use of SAS instruments. Using R, researchers will find out the money losses.

Social media : Social media has a lot of information. The sentimental analysis and various other social media mining data are carried out using statistical tools and one amongst them is R. Data that is found on social media is not organized. This data will be used for segmenting customers and targeting them to market the products.

Example of A Simple R Programming Code Written By Our Expert

Code for: The Default Tree Generated



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