Unless you issue the statement

library(gcl)

the gcl package will not be available in the current session.
Using demo does not load the package; only library() does.

                                       - Phil Spector
                                         Statistical Computing Facility
                                         Department of Statistics
                                         UC Berkeley
                                         spec...@stat.berkeley.edu


On Wed, 14 Jan 2009, bcbob43 wrote:



Gabor Grothendieck wrote:

You should only have to do this from within R:

install.packages("glc", dep = TRUE)
library(gcl)
demo("glcdemo", package = "glc")

or in place of the first line you could use the Packages
menu choosing Install packages...


Thanks for your help but I have already run "Packages|Install Packages from
local zip" and it seems to run OK.
There is a directory called glc in C:\R-2.8.1\library\ so the library files
are on my system.

But, I got the following result when I tried to run the last line on Rgui
demo("glcdemo", package = "glc")
Error in .find.package(package, lib.loc, verbose = verbose) :
 there is no package called 'glc'


So, even though the files are there, it looks like the package was not
installed.

I ran search() and the glc package is not listed:
search()
[1] ".GlobalEnv"        "package:stats"     "package:graphics"
[4] "package:grDevices" "package:utils"     "package:datasets"
[7] "package:methods"   "Autoloads"         "package:base"


Bob

here is the code I am trying to run:
# library(gcl)
#gcldemo <- function() {
 df <-
   structure(list(V1 = c(0.628, 0.317, 0.275, 0.458, 0.926, 0.456,
      0.894, 0.415, 0.694, 0.193), V2 = c(0.525, 0.746, 0.669, 0.179,
      0.162, 0.082, 0.951, 0.731, 0.656, 0.478), V3 = c(0.634, 0.994,
      0.709, 0.198, 0.857, 0.109, 0.896, 0.626, 0.335, 0.615), V4 =
c(0.714,
      0.661, 0.208, 0.996, 0.309, 0.306, 0.076, 0.463, 0.187, 0.59),
      V5 = as.integer(c(1, 0, 1, 1, 0, 0, 1, 0, 1, 0))),
             .Names = c("V1", "V2", "V3", "V4", "V5"),
             class = "data.frame",
             row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9",
"10"))

 cat("Data table:\n")
 print(df)

 cat("computing fuzzy rule classifier function cf...\n")
 cf <- gcl(df,filter=df)
 cat("done.\n")
 cat(cf())
 cat("Classifying data:\n")
 print(cf(df))
#  cat("Dumping source of classifying function cf to
/tmp/example-output.r\n")
#  dump("cf", "/tmp/example-output.r")
#  cat("Removing old definition of classifying function cf...")
#  rm("cf")
#  cat("done.\n")
#  cat("Sourcing /tmp/example-output.r containing definition of function
cf...")
#  source('/tmp/example-output.r')
#  cat("done.\n")
#  cat("Classifying data again:\n")
#  print(cf(df))
 cat("Making class calls according to max membership:\n")
 calls <- apply(cf(df), 1, which.max) - 1
 m <- cbind(calls, df[,5])
 colnames(m) <- c("GCL Call made", "Actual Class")
 errors <- sum(m[,1] != m[,2])
 cat("Calls:\n")
 print(m)
 cat("Made", errors, "errors.\n")
 cat("That is all folks.\n")
#}

#gcldemo()




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