/intro_data_r

A gentle introduction to data analysis in R

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Introduction to data analysis in R

Description

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.

Objectives

  • 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)

Format

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

Outline

  • 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

Readings

  • 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

Resources (what to learn next?)