# Introduction to data analysis in R

A gentle introduction to data analysis in R

Mahmoud Ahmed

Postdoc - Biomedicine

A gentle introduction to data analysis in R

Link to the GitHub repo

This is a short course on data analysis in R. The goal is to get the participants familiar with R code and to appreciate it as a tool to handle common experimental data. The materials are delivered in the form of transitional lectures and interactive exercises.

- To get familiar with R as a tool for data analysis
- To apply basic arithmetic and statistics in R
- To learn to handle experimental data in R (qPCR and images)

- Introduction to R (Data Camp Free Interactive Course)
- A GitHub, RStudio Cloud, and Data Camp accounts (Free)

Each module is delivered in three steps

`lectures/`

: slides discussing the main concepts`practice/`

: interactive exercises for practicing purposes`homework/`

: more exercises to test understanding

- Getting started in R
- Basic statistics in R
- Quantifying mRNA using the
`pcr`

package - Quantifying protein co-localization in fluorescence images using the
`colocr`

package

- R studio cheatsheets (Link)
- Tidy data by Hadley Wickham (Link)
- Ahmed M, Kim DR. pcr: an R package for quality assessment, analysis and testing of qPCR data. PeerJ. 2018 Mar 16;6:e4473. doi: 10.7717/peerj.4473.
- Ahmed M, Lai TH, Kim DR. colocr: an R package for conducting co-localization analysis on fluorescence microscopy images. PeerJ. 2019;7:e7255. doi:10.7717/peerj.7255

- Intermediate R Course (Data Camp Free Interactive Course)
- R for Data Science (Book)