Support with…
The everyday things I help clients get done in R.
R
Data cleaning
Removing NAs and outliers, fixing types, correcting typos — getting messy data ready to analyse.
R
Statistics & models
Linear and logistic regression, mixed models, post-hoc tests — the right test, explained.
R
Visualisations
ggplot2 boxplots, correlation plots, NMDS, maps, patchwork layouts — publication-ready figures.
R
Writing papers
R Markdown reports that combine analysis and writing in one place, avoiding copy-paste errors.
R
Shiny apps
Interactive dashboards and tools that make your data explorable by non-coders.