df <- data.frame(values = c(2.5,12,4.8,56,78),samples = c('45fe.K2','59ji.K2','59rc.K1','45hi.K1','96hu.K1'),group = c('K2','K2','K1','K1','K1'))
df
values samples group
1 2.5 45fe.K2 K2
2 12.0 59ji.K2 K2
3 4.8 59rc.K1 K1
4 56.0 45hi.K1 K1
5 78.0 96hu.K1 K1
I want to generate a groupgrouped boxplot. So I want one plot with a K1 and K2 boxplot. I thought this https://www.r-graph-gallery.com/265-grouped-boxplot-with-ggplot2.html would do it but I can“t figure out how
p1 <- ggplot(df, aes(x=group, y=values, fill=group)) +
geom_boxplot() +
facet_wrap(~group)
What can I do about that? I tried also x=samplesbut that is wrong.
EDIT: Maybe that is another question. But when I add the group column with the following code the great answer by @rodolfoksveiga results in an error
df <- data.frame(values = c(2.5, 12, 4.8, 56, 78),
samples = c('45fe.K2', '59ji.K2', '59rc.K1', '45hi.K1', '96hu.K1'))
df$group <- NA
df$group <- apply(df,1,function(x)
{ifelse(grepl('K2',df$samples) == TRUE,paste('K2'),paste('K1'))})
Error in `$<-.data.frame`(`*tmp*`, "PANEL", value = c(1L, 2L, 2L, 2L, :
replacement has ... rows, data has ....rows

ggplot(df, aes(x=group, y=values, fill=samples)) + geom_boxplot()- Duck<error/rlang_error> Aesthetics must be either length 1 or the same as the data (5): x- JORIS