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This workshop will introduces R. An initial description of basic concepts and principles develop into data manipulation and graphical representation using ggplot2. The workshop will also revisit basic statistical concepts and will include statistical analysis (ANOVA and post doc) and a simple loop.  The workshop will include correlation and R modelling (linear regression and generalized linear model). The workshop is hand-on so it requires students to have access to a PC/laptop installed with R (R studio is recommended but not strictly necessary). Access to internet is necessary.


###   Version and Requirements  #######################

###  R version 4.3.2 (2023-10-31 ucrt) -- "Eye Holes" Copyright (C) 2023 The R Foundation for Statistical Computing

###  Platform: x86_64-w64-mingw32/x64 (64-bit)

###  RStudio 2023.09.1+494 "Desert Sunflower" Release (cd7011dce393115d3a7c3db799dda4b1c7e88711, 2023-10-16) for windows; Mozilla/5.0 (Windows NT 10.0; Win64; x64); AppleWebKit/537.36 (KHTML, like Gecko) RStudio/2023.09.1+494 Chrome/116.0.5845.190 Electron/26.2.4 Safari/537.36


######## Packages to be installed Ideally before the beginning of the module ####################

######## If you have no experience in R, worry not!!! We will install the libraries at the beginning of the module ##########

install.packages("xlsx")

install.packages("ggplot2")

install.packages("readxl")

install.packages("psych")

install.packages("Hmisc")

install.packages("ggpubr")

install.packages("tidyr")

install.packages("carData")

install.packages("car")

install.packages("PMCMRplus")

install.packages("emmeans")

install.packages("afex")

install.packages("performance")

install.packages("COUNT")

install.packages("FSAdata")

install.packages("GeneCycle")

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