Hello, Using the Correspondence Analysis package (ca), I wonder if there is a way to further customize the plot beyond the options given in plot.ca provided by the mentioned package.
The correspondence analysis I am doing consists of two datasets sharing only the rows, so the plot draw the total of columns (from both datasets) in the graph and the rows as expected. However, as in my case the number of columns in one dataset is huge, I would like to omit those points and labels in the plot. The list of parameters of plot.ca does not allow me to do this so I wonder if there is a way to force this in R. An example to see what I want is the following: library(ca) data(author) plot(ca(author), arrows=c(FALSE,TRUE)) The object "author" is composed of two datasets, I would like to omit the points corresponding to columns from a-m, while still maintaining the points in the second datasets, i.e. columns from n-z. Any help is more than appreciated. Best regards, ---sram ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
