Do Advanced R Analysis & Modelling (R Colab) – Stats & Research

Are you looking for accurate, professional and publication-ready data analysis in R — all done smoothly through R on Google Colab so you don’t need any software installed?

I can help you with end-to-end analytics, from cleaning your data to advanced modelling, forecasting and clear visual outputs you can confidently use in business reports, academic research or medical publications.

I specialise in statistical analysis, epidemiological modelling, time-series forecasting, and research-grade visualisation, with fully reproducible R code provided on request.

The basic gig is for Small analysis, basic stats, and 1 dataset.

Please always get in touch with your requirements before placing your order.

✔ What I Can Do for You (R + Google Colab)
Data Cleaning & Processing

Import CSV, Excel, Google Sheets and RData

Merge multiple datasets

Handle missing values

Recode variables, factors and dates

Prepare analysis-ready data structures

Statistical Analysis

Descriptive statistics

Hypothesis testing (t-test, chi-square, ANOVA)

Linear, logistic & Poisson regression

Mixed-effects models

Multinomial & ordinal regression

Medical & Research Analysis

Case–control & cohort analysis

Odds ratio, relative risk & IRR

Exposure–response curves

DLNM (distributed lag non-linear models)

Subgroup analysis (age, sex, conditions)

Forest plots, spline curves and journal-ready graphics

Time-Series & Forecasting

ARIMA / SARIMA

Prophet

Decomposition & seasonal trends

Lagged variable modelling

Machine Learning

Random Forest, XGBoost, SVM, kNN

Feature engineering

Clustering (k-means, hierarchical)

Visualisation & Reporting

ggplot2 publication graphics

Heatmaps, trends, forecasts

Interactive charts (plotly)

RMarkdown → PDF/HTML reports

Clear and simple interpretation of results

✔ Deliverables

Cleaned dataset

Google Colab notebook

R code (optional or fully commented)

Plots & charts

Summary or full technical report

Reproducible workflow