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 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)
Each module is delivered in three steps
lectures/: slides discussing the main conceptspractice/: interactive exercises for practicing purposeshomework/: more exercises to test understanding
- Getting started in R
- Basic statistics in R
- Quantifying mRNA using the
pcrpackage - Quantifying protein co-localization in fluorescence images using the
colocrpackage
- 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
- Introduction to R (Data Camp Free Interactive Course)
- Intermediate R Course (Data Camp Free Interactive Course)
- R for Data Science (Book)
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