similar to: parallel computing with foreach()

Your code generates an error that has nothing to do with dopar. I have no idea what your function stack is supposed to do; you may be inadvertently calling utils::stack which would produce this kind of error: > stack(1:25, RAT = FALSE) Error in data.frame(values = unlist(unname(x)), ind, stringsAsFactors = FALSE) : arguments imply differing number of rows: 25, 0 HTH, Peter On Wed, Dec 6,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I haven't yet dug into the internals of match() yet to see what's going on, but I'm wondering whether there's a design reason why I can't use %in% (which is a wrapper for match()) on language objects. I'd like to test whether a language object is in a list of language objects, but I get the error "'match'

>>>>> William Dunlap <wdunlap at tibco.com> >>>>> on Tue, 25 Aug 2015 09:47:23 -0700 writes: > match(x,table) and x%in%table work when x and table are lists of language > objects or expressions. E.g., > expression(quote(1+2), quote(log2(16))) %in% expression(3, quote(1+2), c(4L,5L,6L,7L)) > #[1] TRUE FALSE >

I'm trying to create a graph where different cells of a grid (a shapefile) will be painted with a color share scale, where the most easy way is to use gray(). Can I somehow get a vector (gradient) of colors, a vector of colors with other methods but gray()? I'm doing this until now quad_N_sp <-

Apologies if this is a naive beginners question. I am trying to create a dotplot with the lattice dotplot function in which my dots are colored differently depending on if positive or negative and sized by sp.nc.bdrs.data$mwZ I have tried... dotplot(sporder ~ cvarorder | direct, data=sp.nc.bdrs.data, cex=abs(sp.nc.bdrs.data$mwZ * 0.05), xlab="climate variables",

match(x,table) and x%in%table work when x and table are lists of language objects or expressions. E.g., expression(quote(1+2), quote(log2(16))) %in% expression(3, quote(1+2), c(4L,5L,6L,7L)) #[1] TRUE FALSE list(quote(1+2), quote(log2(16))) %in% list(3, quote(1+2), c(4L,5L,6L,7L)) #[1] TRUE FALSE match(list(quote(1+2), quote(log2(16))), list(3, quote(1+2), c(4L,5L,6L,7L))) #[1] 2

Dear list users, I modeled the probability of occurrence of one species: "Cyperus dilatatus". I modeled the species using three different approaches: c("random","target","index") What I want to achieve is to make a plot of all prediction maps in a row with to conditional variables, that is, with the species and the approach I prepared a data.frame to try

Folks, I am using ruby 1.8.5 with rails 1.2.3 and have made changes to mysql_adapter.rb based on recommendations made here http://wiki.rubyonrails.org/rails/pages/StoredProceduresInMySql to be able to use stored procs in my code. I have changed this call in mysql_adapter.rb ConnectionAdapters::MysqlAdapter.new(mysql, logger, [host, username, password, database, port, socket], config) to