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Hi, I have two histograms created separately using the following code. It creates two separate figures. dat <- read.table(file="GDS1096.modelout", head = FALSE ) __BEGIN__ dat <- read.table(file="GDS1096.modelout", head = FALSE ) hist(dat$V2, main="AIC Freq", xlab = "\# Component", breaks = 36, xlim = c(0,max(dat$V2)), col = "dark red", freq = TRUE) hist(dat$V3, main="BIC Freq", xl...

Hi all, I am interested in performing a cluster analysis on ecological data from forests in Pennsylvania. I would like to develop definitions for forest types (red maple forests, upland oak forests, etc.(AH AR in attached table)) based on measured attributes in each forest type. To do this, I would like to 'draw clusters' around forest types based on information from various tree

...with uneven spacing between x-ticks (see attached file). Especially I want to create a bar for every x-axis (1,2,3,4...36), now not every x-axis has a bar. Is there a way to alter my following code so that the x axis is evenly distributed: require(plotrix) dat <- read.table(file="GDS1096.modelout", head = FALSE ) l <- list(dat$V2,dat$V3) multhist(l, ylab = "Frequency", beside = TRUE, freq = TRUE, col = c("blue","red"), xlab = "Nof Component", xlim = c(0,max(dat$V3)+25), ylim = c(0,10000)) legend(30, 8000,...