R Cook Book


                           tropf


                          ABSTRACT

          My personal recipes when using R <https://
     r-project.org/>.


1.  Intro

     I use R mainly for plotting and some data post-process-
ing.   This  document collects some tricks I encountered and
use.

     For plotting I use ggplot2 <https://github.com/
tidyverse/ggplot2/>, which ist assumed to exist in these ex-
amples.  A variable p is typically a ggplot2 plot object.

2.  Hiding Legend, but Preserving its Space

     To hide a legend, but still take up its space (e.g.  to
build  plots  over  multiple instances) add the following to
the legend.  Adjust the aesthetic used.


     p <- p +
         guides(fill=guide_legend(override.aes=list(fill=NA))) +
         theme(legend.text=element_text(color="#00000000"),
               legend.title=element_text(color="#00000000"))


3.  aggregate() with more than one output value

     To aggregate with multiple outputs, use  the  following
snippet.   Note that this only works if all outputs have the
same type.













                       2 October 2024





                             -2-


     aggrs <- aggregate(to_be_summarized ~ category,
                        df,
                        function(v){c(mean=mean(v), sd=sd(v), min=min(v), max=max(v))})
     extra_df <- data.frame(aggrs$to_be_summarized)
     aggrs$to_be_summarized <- NULL
     colnames(extra_df) <- paste("to_be_summarized", colnames(extra_df), sep=".")
     aggrs <- cbind(aggrs, extra_df)
     rm(extra_df)

















































                       2 October 2024