Dear R users

I would like to group my barplot graph (see example on the R help  
link). The proposed R code, adding individual bars to the plot, looks  
really overwhelming. My specific dataset just consists of five groups  
and three different levels within each groups (the individual bars).  
The .txt file is read as matrix (horizontal: group, vertical: levels).

The R trellis barchart (function group="") is an easy function, but  
unfortunately the upper plot part look much different from other  
graphs. I would therefore prefer barplot to stansdardize my plots  
within the manuscript.

It would be very  helpful for me to know if anyone else has worked on  
the barplot group function.

Thanks
Sibylle


http://onertipaday.blogspot.com/2007/05/make-many-barplot-into-one-plot.html

R code from the link
## I have 4 tables like this:satu <- array(c(5,15,20,68,29,54,84,119),  
dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black",  
"Brown", "Red", "Blond")))dua <- array(c(50,105,30,8,29,25,84,9),  
dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black",  
"Brown", "Red", "Blond")))tiga <- array(c(9,16,26,68,12,4,84,12),  
dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black",  
"Brown", "Red", "Blond")))empat <- array(c(25,13,50,78,19,34,84,101),  
dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black",  
"Brown", "Red", "Blond")))# rbind() the tables togetherTAB <-  
rbind(satu, dua, tiga, empat)# Do the barplot and save the bar  
midpointsmp <- barplot(TAB, beside = TRUE, axisnames = FALSE)# Add the  
individual bar labelsmtext(1, at = mp, text = c("N", "P"),line = 0,  
cex = 0.5)# Get the midpoints of each sequential pair of bars# within  
each of the four groupsat <- t(sapply(seq(1, nrow(TAB), by =  
2),function(x) colMeans(mp[c(x, x+1), ])))# Add the group labels !
for each pairmtext(1, at = at, text = rep(c("satu", "dua", "tiga",  
"empat"), 4),line = 1, cex = 0.75)# Add the color labels for each  
groupmtext(1, at = colMeans(mp), text = c("Black", "Brown", "Red",  
"Blond"), line = 2)
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