On 2011-02-18 12:32, Juergen Rose wrote:
Am Freitag, den 18.02.2011, 11:53 -0800 schrieb Peter Ehlers:
On 2011-02-18 11:16, Juergen Rose wrote:
If do:
library("e1071")
example(svm)

I get:


svm>   data(iris)

svm>   attach(iris)

svm>   ## classification mode
svm>   # default with factor response:
svm>   model<- svm(Species ~ ., data = iris)

svm>   # alternatively the traditional interface:
svm>   x<- subset(iris, select = -Species)

svm>   y<- Species

svm>   model<- svm(x, y)

svm>   print(model)

Call:
svm.default(x = x, y = y)


Parameters:
     SVM-Type:  C-classification
   SVM-Kernel:  radial
         cost:  1
        gamma:  0.25

Number of Support Vectors:  51


svm>   summary(model)

Call:
svm.default(x = x, y = y)


Parameters:
     SVM-Type:  C-classification
   SVM-Kernel:  radial
         cost:  1
        gamma:  0.25

Number of Support Vectors:  51

   ( 8 22 21 )


Number of Classes:  3

Levels:
   setosa versicolor virginica




svm>   # test with train data
svm>   pred<- predict(model, x)

svm>   # (same as:)
svm>   pred<- fitted(model)

svm>   # Check accuracy:
svm>   table(pred, y)
              y
pred         setosa versicolor virginica
    setosa         50          0         0
    versicolor      0         48         2
    virginica       0          2        48

svm>   # compute decision values and probabilities:
svm>   pred<- predict(model, x, decision.values = TRUE)

svm>   attr(pred, "decision.values")[1:4,]
    setosa/versicolor setosa/virginica versicolor/virginica
1          1.196152         1.091460            0.6705626
2          1.064621         1.056332            0.8479934
3          1.180842         1.074534            0.6436474
4          1.110699         1.053143            0.6778595

svm>   # visualize (classes by color, SV by crosses):
svm>   plot(cmdscale(dist(iris[,-5])),
svm+      col = as.integer(iris[,5]),
svm+      pch = c("o","+")[1:150 %in% model$index + 1])

   *** caught segfault ***
address (nil), cause 'unknown'

Traceback:
   1: .Call("La_rs", x, only.values, PACKAGE = "base")
   2: eigen(-x/2, symmetric = TRUE)
   3: cmdscale(dist(iris[, -5]))
   4: plot(cmdscale(dist(iris[, -5])), col = as.integer(iris[, 5]),
pch = c("o", "+")[1:150 %in% model$index + 1])
   5: eval.with.vis(expr, envir, enclos)
   6: eval.with.vis(ei, envir)
   7: source(tf, local, echo = echo, prompt.echo = paste(prompt.prefix,
getOption("prompt"), sep = ""), continue.echo = paste(prompt.prefix,
getOption("continue"), sep = ""), verbose = verbose, max.deparse.length
= Inf,     encoding = "UTF-8", skip.echo = skips, keep.source = TRUE)
   8: example(svm)

Possible actions:
1: abort (with core dump, if enabled)
..

I did already "update.packages(), what can I still do.

Works just fine for me. What's your sessionInfo()?
Here's mine:
  >  sessionInfo()
R version 2.12.1 Patched (2010-12-27 r53883)
Platform: i386-pc-mingw32/i386 (32-bit)

locale:
[1] LC_COLLATE=English_Canada.1252  LC_CTYPE=English_Canada.1252
[3] LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] e1071_1.5-24 class_7.3-3

loaded via a namespace (and not attached):
[1] tools_2.12.1


sessionInfo()
R version 2.12.1 (2010-12-16)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
  [5] LC_MONETARY=C              LC_MESSAGES=en_US.UTF-8
  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
  [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods
base

It is working at some of my systems and is failing at the most.


It would be good to know what version of e1071 you're using;
presumably it's 1.5-24. I've run the example on both 32-bit
and 64-bit R 12.2.1pat and 2.13.0dev with no problems.
Could you be having a problem with your graphics device?

Peter Ehlers

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