RStudio, tidyverse & regression explained clearly.
One-to-one online R programming and RStudio homework help for students in the USA, UK, Canada and Germany. Master dplyr data wrangling, ggplot2 visualizations, R Markdown reports, hypothesis testing and regression modeling.
One-to-one support for R programming, biostatistics and econometrics
Data Wrangling with Tidyverse & dplyr
Clean, reshape and join messy datasets in R using dplyr (filter, mutate, group_by, summarize), tidyr (pivot_longer, pivot_wider), readr and data.table.
Statistical Modeling, ANOVA & Hypothesis Testing
Run and interpret t-tests, chi-square tests, one-way and two-way ANOVA, OLS linear regression (lm), logistic regression (glm) and residual diagnostics in RStudio.
Publication-Ready Visualization with ggplot2
Build clear scatterplots, boxplots, histograms, facet grids, confidence bands and custom themes in ggplot2 with clear statistical interpretation.
R Markdown, Quarto & Econometrics / Biostatistics
Debug knitting errors in R Markdown (.Rmd) and Quarto (.qmd), format reproducible HTML/PDF lab reports, and work through panel data, time series or survival analysis.
Common R and RStudio coursework requests
RStudio & R Markdown (.Rmd) labs
dplyr & tidyr data cleaning
ggplot2 charts & facet plots
Linear & logistic regression (lm/glm)
ANOVA, t-tests & p-value interpretation
Econometrics & panel data in R
Biostatistics & public health labs
Quarto PDF/HTML knitting fixes
Explore related statistics and data science support
Every session is one-to-one and online. Choose the page that matches what you are working on.
Assignment help
Break down the brief, plan your approach and get feedback before you submit.
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One-to-one homework and problem-set guidance tailored for US college courses and time zones.
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Syntax, debugging, libraries and applied Python projects, explained step by step.
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Complex JOINs, GROUP BY, subqueries, window functions, ER diagrams and 3NF database design.
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Algorithms, data structures, databases and core computer science theory.
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Python, statistics and machine learning concepts for data-focused coursework.
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Probability, regression, hypothesis testing and data analysis, made clear.
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Microeconomics, Macroeconomics, Corporate Finance (NPV, WACC, DCF), Financial Accounting and Econometrics.
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Coursework, projects and reports for university modules and degree programmes.
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R programming homework help FAQs
Can you help me both write the R code and interpret the statistical output for my report?
Yes. Many students can get an R script to run but lose marks on interpreting coefficients, p-values, confidence intervals and diagnostic plots. We walk through both the RStudio code and the statistical meaning in plain academic English.
Can you help fix R Markdown or Quarto files that fail to knit to PDF or HTML?
Yes. Knitting errors usually come from working directory mismatches, missing packages inside chunks, NA values or LaTeX formatting issues. We debug your .Rmd or .qmd file live with you.
Do you complete RStudio assignments or datasets on a student's behalf?
No. GetSetGrades provides one-to-one tutoring and academic guidance. We teach you how each tidyverse verb, statistical test and plot works so you can submit and explain your own analysis confidently.
Working on an RStudio lab, regression model or R Markdown report?
Bring your dataset, prompt and R script to a live one-to-one tutoring session scheduled around your time zone.
