Statistics & R Programming
Assignment Help
Unlock the power of statistical computing. From data cleaning with dplyr to complex visualizations with ggplot2, our RStudio experts deliver clean, reproducible code and insightful analysis.
Statistical Computing & Graphics
R is the premier language for statistical analysis and data visualization in academia. However, its steep learning curve—navigating syntax errors, package dependencies, and data frame manipulation—can be daunting.
We bridge the gap between coding and statistics. Whether you need a script for Linear Regression, a Time Series Analysis, or a comprehensive RMarkdown report, our experts write code that is not only functional but also elegant and easy to understand.
Core Competencies
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Data Wrangling:
Cleaning and transforming datasets using `tidyr` and `dplyr`.
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Visualization:
Creating publication-quality plots with `ggplot2` and `lattice`.
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Modeling:
Building predictive models using `caret` or `randomForest`.
R Packages & Analysis We Support
Tidyverse Ecosystem
Modern data science using `dplyr`, `tidyr`, `readr`, and `purrr` for efficient data manipulation and functional programming.
Statistical Testing
Hypothesis testing including T-tests, ANOVA, Chi-Square, and non-parametric equivalents using base R and `stats` package.
Regression Modeling
Linear (OLS), Logistic, and Generalized Linear Models (GLM). checking assumptions like homoscedasticity and normality.
Time Series Analysis
Using `forecast` and `tseries` packages for ARIMA modeling, stationarity testing (ADF), and seasonal decomposition.
View Econometrics →Machine Learning
Supervised and unsupervised learning. Clustering (K-Means), Decision Trees, and PCA using `caret` and `cluster`.
View CS Services →Bioinformatics
Using Bioconductor packages for genomic data analysis, microarray processing, and survival analysis.
View Biology Help →Reproducible Research & RMarkdown
The gold standard in academic data science is reproducibility. We don’t just send you a graph; we send you the code that generated it. We specialize in RMarkdown (Rmd), which integrates your code, output, and narrative into a single, polished document.
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Knit to PDF/Word:
We deliver professional reports generated directly from RStudio using `knitr`.
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Annotated Code:
Every script includes comments explaining what each function does, helping you learn.
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Error-Free Execution:
We guarantee the code runs without errors on standard R installations.
Project Deliverables
.R / .Rmd Files
The raw source code scripts tailored to your dataset.
Output Report
A PDF or Word doc containing the code chunks, plots, and interpretation.
Dataset Cleaning
We return your clean, processed dataset used for the analysis.
Affordable R Coding
Coding help doesn’t have to be expensive. Our rates start at $25 per task/hour depending on complexity. We focus on efficiency and clean code to keep costs low for students.
Instant Code Debugging
Script throwing errors? Deadline looming? We offer urgent debugging and coding assistance in as little as 3 to 6 hours. Get your R code running smoothly before submission.
Get Urgent HelpR Programming Toolkit
Access essential resources to master R programming and data science.
Tidyverse Cheat Sheet
Quick reference for dplyr data manipulation verbs and piping syntax.
Download PDFggplot2 Guide
Visual guide to the Grammar of Graphics layers, geometries, and themes.
View GuideSample Datasets
Clean practice datasets to test your R skills in regression and clustering.
Access DataHire PhD R Programmers
Our R experts aren’t just coders; they are academic researchers. Hire expert statisticians who understand the theory behind the code.
Dr. Michael Karimi
Econometrics
PhD Economics. Expert in time-series forecasting and regression in R.
Dr. Julia Muthoni
Biostatistics
PhD Biostatistics. Specialist in clinical data analysis and R survival packages.
Eric Tatua
Engineering Stats
M.Eng. Focuses on simulation modeling and numerical methods in R.
Client Success Stories
“The R code was perfect. Dr. Michael even added comments explaining what the ggplot layers were doing, so I could explain it in my presentation.”
John D.
Data Science Student
“I couldn’t get my loop to work. Eric fixed the bug in an hour and optimized the script so it ran instantly.”
Sarah L.
Biology Major
Frequently Asked Questions
Do you use RStudio?
Yes. All our code is developed and tested in RStudio. We can provide the specific RProject files to ensure compatibility with your environment.
Can you use specific libraries like tidyverse?
Absolutely. We are proficient in the tidyverse ecosystem (dplyr, tidyr, ggplot2) for modern, efficient data science workflows.
Do you provide comments in the code?
Yes. Every script includes detailed comments explaining the logic behind data cleaning steps, statistical tests, and plot generation.
Can you write the report in RMarkdown?
Yes. We specialize in reproducible research. We can deliver the .Rmd file along with the knitted PDF, Word, or HTML output.
Debug Your Data
Don’t let syntax errors stop your analysis. Get expert R programming assistance today.
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