There are two types of output. Averages over time, and the raw data. This document plots histograms of the raw data fow now. Below, give the output file generated by the code
file <- "../Output/100_raw.txt"
data <- read.table(file,sep=",");
# Renaming the first two columns, which are the timepoint and the variable-names
names(data)[1] <- "time"
names(data)[2] <- "variable"
# gathering the data into a long-format data frame structured:
# <timepoint,variable-name,value>
data <- gather(data, key,value,-c(time,variable)) %>% select(time,variable,value)
Here, some distributions are drawn using violin plots:
Note that the echo = FALSE
parameter was added to the code chunk to prevent printing of the R code that generated the plot.