dear R-ussers, I would like to creeate a graph, i wich my data is presented as verticaly oriented histograms, wich give the frequency of the measured values, grouped per used measurement methode. So the X axis should hold the grouping variable and the Y axis a continuos variable. well not realy continouse, but it should show the values, representing the clase intervals. small example to clarify this: This one i can create: graph 1 only the positive results per test 5 | ## |# |## | # |## |# 4 | ### |#### | | #### |###### |## 3 | ### |##### |#### | ##### |### |##### 2 | #### | |###### | ### |## |##### 1 | # |# |## |_____________|_____________|_____________ 0 test 1 test2 test3 Tihs is what i want to create: graph 2 a back to back histogram plot of the pos/negative results, grouped per test 5 | |## |# |## | |# |## #|# 4 | |### |#### ##| | .....................|####..............|###### ...........#|##...................... 3 | #|### #|##### |#### | ##|##### ##|### ##|##### 2 |............#####|####......####|..............######|######.............. | ###|### ##|## ###|##### 1 | ##|# #|# ####|## |___________|__________#|____________#|_____________ 0 test 1 test2 test3 Neg. | Pos. Neg. | Pos. Neg. | Pos. I 'd like to creat the figure of graph 2, a back to back plot of the pos/ and negative results of a test, and this with the 3 tests in one graf. I have been searching for examples, the only trouble is that it is way to complex. (http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=109) Here is one other example of a back to back plot (graph 2) . (histbackback(fool) After trying to understand wath happens in the complex example, i identified a part that does what i need. It does creat the graph similar to what i want (graph 1). "see code below" Yet i do not understand it wel enough,so i can't creat the more complex graph 2. What can i do to understand this graph functions beter, without spending to much time on them? Kind regards, Tom. this is the code, wich i use to creat graph 1 # data for plot: freqs <- data.frame(value= c( 0.000,1.204,1.301,1.362,1.447,1.505,1.602,1.653,1.756,1.806,1.903,1.959, 2.053,2.107,2.204,2.258,2.354,2.408,2.505,2.559,2.656,2.709,2.806) , tp1= c( 8,1,0,13,0,6,0,25,0,5,0,15,0,4,0,7,0,0,0,1,0,0,0) , tn1= c( 17,0,0,2,0,0,0,1,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0) , tp2= c( 10,0,2,0,9,0,8,0,19,0,4,0,5,0,2,0,5,0,2,0,1,0,2) , tn2= c( 13,0,1,0,1,0,2,0,2,0,0,0,2,0,0,0,0,0,0,0,0,0,0) , tp3= c( 9,0,0,0,0,0,0,0,0,10,0,10,0,21,0,10,0,11,0,8,0,5,0) , tn3= c( 15,0,0,0,0,0,0,0,0,3,0,2,0,2,0,1,0,0,0,0,0,0,0) ) test<-c(1,2,3,4,5,6) testname <-c('test1 p','test1 n','test2 p','test2 n','test3 p','test3 n') # parameters for plot xlim = c(min(test),max(test)) ylim = c(0,length(freqs$value)) barscale = 0.2 barcol = 8 # plot win.graph() for (i in 1:length(freqs)) { par(new = TRUE) xmin <- -test[i] + xlim[1] xmax <- xlim[2] - test[i] ser <- freqs[, i+1] ser <- ser/max(ser) * barscale barplot(ser, horiz = TRUE, axes = FALSE, xlim = c(xmin, xmax), ylim = ylim, col = barcol, space = 0) } axis(1,labels=testname,at=c(0,0.2,0.4,0.6,0.8,1)) axis(2,labels=freqs$value ,at=c((0:22)/23) ) this is the code, wich i hoped would creat graph 2 but it doesn't work for (i in 1:length(freqs)) { par(new = TRUE) xmin <- -test[i] + xlim[1] xmax <- xlim[2] - test[i] serx <- freqs[, i+1] sery <- freqs[, i+2] ser <- list((serx/sum(serx) * barscale),(sery/sum(sery) * barscale)) histbackback(ser,axes=FALSE ,xlim = c(xmin, xmax), ylim = ylim) } E-mail: tom.willems@var.fgov.be Disclaimer: click here [[alternative HTML version deleted]]