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...//stackoverflow.com/questions/1249548/side-by-side-plots-with-ggplot2-in-r my.multiplot <- function(..., plotlist=NULL, cols) { require(grid) # Make a list from the ... arguments and plotlist plots <- c(list(...), plotlist) numPlots = length(plots) # Make the panel plotCols = cols # Number of columns of plots plotRows = ceiling(numPlots/plotCols) # Number of rows needed, calculated from # of cols # Set up the page grid.newpage() pushViewport(viewport(layout = grid.layout(plotRows, plotCols))) vplayout <- function(x, y)...

Hi, I'm doing a k-means cluster with 6 clusters and 15 variables. Any suggestions on how to plot the results? I've tried the standard xy plot, but couldn't get much of it. Thansk in advance, Iuri.

Hi, i am working with large data frames with many dependend variables. I want to write some functions that will allow me to quickly select variables from the frame and plot them in various colors depending on factor columns, possibly selecting rows according to factor conditions. In order to do this in a nice function, i need to understand how to work with a column name in the body of a