
Effect size estimation and plotting is a component ofestimationstatistics.Durga is an R package that aims to simplifysophisticated plotting of estimated differences in group means, which isan important part of communicating estimation statistics.
If you useDurga in your research, please cite (andread) the article:
Khan, M. K., & McLean, D. J. (2024). Durga: An R package foreffect size estimation and visualisation.Journal of EvolutionaryBiology.doi:10.1093/jeb/voae073
To install the released version:
> install.packages("Durga")To install the development version:
> install.packages("devtools") # If not already installed> devtools::install_github("KhanKawsar/EstimationPlot", build_vignettes = TRUE)Refer toNEWS.md for a list of changes in eachversion, including changes in the current development version. You canread the news for an installed package by running:
> news(package = "Durga")Read the paperKhan & McLean(2023) for a detailed description of the package. Once Durga isinstalled, you can read the vignette namedIntroduction to Durga for a shorter introduction to usingDurga, complete with examples and code.
# Display the vignette in a browserRShowDoc("Durga-intro",package ="Durga")# Display the vignette in the help window panevignette("Durga-intro",package ="Durga")A minimal example using constructed data:
n<-100 df<-data.frame(val =c(rnorm(n),rnorm(n,mean =1)),group =c(rep("Control", n),rep("Group", n))) d<-DurgaDiff(df,data.col ="val",group.col ="group")# or equivalently d<-DurgaDiff(val~ group, df)DurgaPlot(d)
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