Hello, Thanks for the response.
matplot was tried for its function to distinguish assigned parts of a matrix by letters, for I wanna differentiate the dissimilar columns in a matrix. Any suggestion based on the idea above will be highly appreciated, such as points. Elaine On Sat, Aug 14, 2010 at 8:16 PM, Gavin Simpson <gavin.simp...@ucl.ac.uk>wrote: > > Dear List, > > > > I am trying to plot the result of cca using matplot but failed. > > Pls kindly help and thanks. > > There is no 'matplot' method for "cca" objects. Where did you get the idea > that there was one? If you want to plot the cca object, then ?plot.cca and > ?ordiplot should help. Also look at the vignettes supplied with the > package as they contain examples of plotting ordination objects. > > HTH > > Gavin > > > > > Elaine > > > > The error message was > > > > error in xy.coords(x, y, xlabel, ylabel, log = log) : > > > > (list) object cannot be coerced to type 'double' > > > > > > code > > > > rm(list=ls()) > > > > library(vegan) > > > > library(MASS) > > > > > > > > # input richness > > > > birdrich <-read.csv("c:/migration/CCA_richness_20100814.csv",header=T, > > row.names=1) > > > > > > > > # input environment > > > > # GID 1 row sum = 0 therefore deleted GID1 in birdenvi > > > > birdenvi <-read.csv("c:/migration/CCA_envi_20100815.csv",header=T, > > row.names=1) > > > > > > > > birdrich.cca <- cca(birdrich ~ ., birdenvi) > > > > birdrich.cca > > > > matplot(birdrich.cca) > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > > > > > [[alternative HTML version deleted]] ______________________________________________ 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.