# Let us worry about your assignments

RStudio, R Homework Help, Statistics Assignment Help

RStudio programming logoStatistics, and especially R programming is hard to wrap your head around, isn’t it? We agree. At least a few years of daily practice is necessary to become an expert. Most likely you have an R or Statistics assignment due next week?! It is great that you found our website as we solve R programming assignments (or raw statistics "on-paper") for students.

We guarantee:

  • We will solve your assignment on time
  • We analyze task description with extra scrutiny
  • R code is always well commented
  • 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 Need R Programming Assignment Help?

Somehow counter-intuitively, R statistics help became 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 already having 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.

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 on 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

Why Students Have a Hard Time with 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 hands-on study of statistics and programming.

Interestingly, exchange students are very popular among our clients. The accumulation of life problems, change of 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
  • 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 It Differs 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 console to Word document!
  • Creating Word document at once
  • Knit to Latex directly (this might save a lot of time…)

What is R Notebook / HTML Notebook and How It Differs 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

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. An extra step from understanding math is implementing solutions in the programming code. R is somewhat helpful at times because it already has built-in functions 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 terms”, this way preparing you for real-life interactions between statisticians and business managers or customers.

Is Paying for R Homework Solutions Worth It?

The answer is context-dependent and complex: it all depends on the situation. Most often people advise on 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 tutoring and homework help are 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 at all. Where professors fail at personalized education – we assist you in filling in the gaps of R programming knowledge.

What R Libraries We Can Help with?

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

  • tidyverse (general R library including some of the libraries below)
  • ggplot2
  • dplyr
  • tidyr
  • readr
  • tibble
  • stringr
  • plotly (interactive graphs)
  • stargazer (beautiful regression tables)
  • R Markdown
  • 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' technical advisor).

Which Statistics and Econometrics Books We Can 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 the 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

  1. Linear regression
    • Interpretation of coefficients
    • Tests of linear regression (not logistic) assumptions:
      • The linearity of the relationship between the dependent and independent variables
      • Normality of residuals
      • Homoscedasticity of residuals
      • No multicollinearity
      • No outliers and influential observations
  2. Hypothesis testing
    • 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
  3. Logistic regression
    • Coefficient interpretation
    • Calculating odds ratios
    • Estimating probabilities
  4. Confidence intervals for various statistics
    • means, proportions, variance, other statistics
  5. Time series
    • Autoregressive and moving average models
    • Various smoothing methods
    • Tests for stationarity
    • Detecting and removing trend and/or seasonality
  6. Censored Data (Survival) analysis
    • Kaplan-Meier curves
    • Estimating survival probabilities
  7. Data Science using standard models
    • KNN
    • K-Means
    • Decision Trees
    • Random Forest
    • Bayesian Classifiers
    • Mixture Models
  8. Simulation Studies and Monte Carlo Methods
    • Bootstrapping
    • Probability estimates by sampling
    • Gambling games analysis
  9. Other assignments – Not Only Statistics!
    • Card game simulations
    • Regular computer science practice: loops, conditionals, etc.
    • String manipulations, parsing, etc.
    • Operation research, linear programming
    • Other

A standard visualization taken from 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. Once such a model is completed, it can explain or predict out-of-sample data with extra precision.

However, beware that using economics or econometrics theory incorrectly 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 as 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 – Better Ask an R Statistics Expert

By receiving our R homework help, you accelerate the studying process and get the 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 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!

Customer Feedback:

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