By language · R

Do my R homework. Correct stats, reproducible reports.

Q: Do you interpret the results?

Yes. The explanation doc covers what each test and coefficient means, at your course’s level.

Q: Base R or tidyverse?

Whichever your course teaches. Some instructors require base R only, and we follow that.

Q: Can you deliver Quarto?

Yes. You get the source file and the rendered HTML or PDF.

Statistical analysis, tidyverse wrangling and R Markdown reports. Correct methods, reproducible code and plots ready to submit.

R 4.xtidyverseggplot2R Markdown / QuartoShinyRStudio

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Price cappedFrom $45Full refund if we’re late800+ students

See an example order

What we cover

Every part of R your course covers.

Wrangling

dplyr and tidyr
Joins and reshaping
Strings and dates
Data import

Statistics

Hypothesis tests
Linear and logistic regression
ANOVA
Time series

Visualization

ggplot2
Facets and themes
Interactive plots
Shiny dashboards

Reporting

R Markdown and Quarto
Reproducible reports
Tables with knitr
Simulation studies

Example order

One R order, start to finish.

What the student uploaded, what came back, and how the price was set.

01The brief

Applied StatisticsUndergradDue in 5 days

Does study time predict exam score?

Fit a linear regression of exam score on weekly study hours and prior GPA, check the assumptions, and present results in a knitted R Markdown report with one publication-quality plot.

Requirements

Tidy the raw survey CSV
Fit lm(score ~ hours + gpa)
Residual and Q–Q diagnostics
Knitted HTML report

02The solution

analysis.R14 lines

1library(tidyverse)

3survey <- read_csv("survey.csv") |>

4 filter(!is.na(score), hours <= 60) |> # drop impossible weeks

5 mutate(gpa = as.numeric(gpa))

7model <- lm(score ~ hours + gpa, data = survey)

8summary(model)

10ggplot(survey, aes(hours, score)) +

11 geom_point(alpha = 0.6) +

12 geom_smooth(method = "lm", se = TRUE) +

13 labs(x = "Study hours per week", y = "Exam score") +

14 theme_minimal()

knit: success · R 4.3 · 0 warnings

03The explanation doc

explanation.pdf

Cleaning rules

Weeks over 60 hours are survey typos; dropping them changes the slope by less than 2%.

Reading the coefficients

Each extra study hour adds about 0.87 points, holding GPA constant (p < 0.001).

Assumptions

Residuals look normal on the Q–Q plot with no clear funnel, so the linear model holds.

04The price

AI predicted budget

$60–$110

Level · UndergradIncluded

Deadline · 5 daysStandard

Shown before any contact details were shared.

Final price from our team

$80

Delivered 8h early

How it works

From upload to predicted budget in under a minute.

The AI does one job: it predicts your price. A senior engineer reviews your files and sets the final number.

01
Step 1 of 4
Upload your files
Prompt, rubric, starter code, or a screenshot of the task. PDF, DOCX, ZIP, code or images, in any mix.
02
Step 2 of 4
The AI asks what’s missing
It confirms your due date, then asks up to 3 questions your files don’t answer. Each one has an “I don’t know” option.
03
Step 3 of 4
See your predicted budget
A price range appears right away. No email, no sign-up.
04
Step 4 of 4
A senior engineer confirms your price
Leave your email. Within 5 minutes you get one fixed price. It never goes above the top of your range.

No payment to get a price. You pay only after you accept the fixed price. If the AI can’t price your files, an engineer emails you a price instead.

Typical orders

Common R assignments and typical budgets.

Data wrangling with dplyr

$45–$90

Usually 1–2 days

typical range

Regression analysis report

$70–$160

Usually 2–3 days

typical range

ggplot2 visualization set

$50–$110

Usually 1–2 days

typical range

Shiny dashboard

$150–$320

Usually 4–6 days

typical range

Your budget depends on your files, deadline and level. Upload them for your own prediction.

Guarantees

Every order is covered. In writing.

Full refund, in three cases

We miss your deadline. Your code still doesn’t meet your original brief after revisions. Or you cancel before an engineer starts.

Partial refunds, worked out in the open

Cancel after work starts, or keep part of the work: we refund the rest and show you how we worked it out first.

Refunds that move fast

We reply within 24 hours. Approved refunds go back to your card through Stripe within 2 business days.

Unlimited revisions for 14 days

We revise until it matches your original instructions. No fees.

Your price is capped

Your fixed price never goes above the top of your range.

How the cap works

NDA and privacy

Your name, school and files are never shared, sold or reused. Engineers never see your name or email.

Secure payment

Processed by Stripe. We never see or store your card details.

Read the full refund policyFree. No email needed.

FAQ

Questions students ask first.

Still have a question?

Email us any time. Support runs 24/7 and a real person replies.

team@domyprogramminghomework.io

Do you interpret the results?

Yes. The explanation doc covers what each test and coefficient means, at your course’s level.

Base R or tidyverse?

Whichever your course teaches. Some instructors require base R only, and we follow that.

Can you deliver Quarto?

Yes. You get the source file and the rendered HTML or PDF.

Is the predicted budget the final price?

Not exactly, but it’s capped. Our team reviews your files and sends one fixed price before you pay anything, and it never goes above the top of your range.

What if you miss my deadline?

You get a full refund, back to your card through Stripe. It’s in our refund policy, in writing.

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