plot betadisper, change of pch
Runnig the examples from ?betadisper and adding a pch statement gives: > plot(mod, pch=2) Error in plot.xy(xy.coords(x, y), type = type, ...) : formal argument "pch" matched by multiple actual arguments > traceback() 5: plot.xy(xy.coords(x, y), type = type, ...) 4: points.default(g$centroids, pch = 16, cex = 1, col = "red", ...) 3: points(g$centroids, pch = 16, cex = 1, col = "red", ...) 2: plot.betadisper(mod, pch = 2) 1: plot(mod, pch = 2) This shows that the author hardcoded the pch in the code, hence you can only change it by changing the code - or send a feature request to the vegan maintainer (ideally including a patch, CCing). Best, Uwe Ligges
On 09.05.2012 12:20, Albin Blaschka wrote:
Hello! After performing an analysis with betadisper, package vegan I would like to plot the results - so far, so good. But I would also like to "tune" a little bit the plotting characters, as '+' and 'x' are a little to similar... My (boiled down) code: [See session info at the bottom of the mail, vegan is vegan_2.0-3] mod <- betadisper(mydata, mygroups, type='median') syms <- c(rep(1:4, each = 16)) modplot <- plot(mod, axes = c(1,2), main='', pch=syms) I get the error message (roughly translated from german): "formal argument 'pch' fits to more given arguments" [formales Argument "pch" passt zu mehreren gegebenen Argumenten] What do I have to change? Thank you in advance! Albin
> sessionInfo()
R version 2.15.0 (2012-03-30) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=de_AT.UTF-8 LC_NUMERIC=C LC_TIME=de_AT.UTF-8 LC_COLLATE=de_AT.UTF-8 [5] LC_MONETARY=de_AT.UTF-8 LC_MESSAGES=de_AT.UTF-8 LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=de_AT.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] rgl_0.92.798 reshape_0.8.4 plyr_1.7.1 MASS_7.3-16 vegan_2.0-3 permute_0.7-0 RPostgreSQL_0.3-2 [8] DBI_0.2-5 loaded via a namespace (and not attached): [1] grid_2.15.0 lattice_0.20-6 tools_2.15.0