
Hallo everybody,
I'm following the commands

>  library(flowQ)
>  data(GvHD)
>  a<-GvHD[1:3]
>  dest<- file.path(tempdir(), "flowQ")*
>  qp1<- qaProcess.cellnumber(a, outdir = dest,  cFactor = 0.75, pdf = T)
>  qp2<- qaProcess.marginevents(a, channels = c("FSC-H", "SSC-H"), outdir = dest)
>  qp4<- qaProcess.timeflow(a, outdir = dest, cutoff = 2)*


and get error message:

creating summary plots...Error en if (scaleFac != 1) newDims<- dims * scaleFac :
   valor ausente donde TRUE/FALSE es necesario
Además: Mensajes de aviso perdidos
In .local(.Object, ...) : NAs introducidos por coerción

(I would translate as:
missing value where TRUE/FALSE needed
more: alarm messages lost
In .local(.Object, ...) : NAs inserted by force)


and using
*>  qp3<- qaProcess.timeline(a, channels = "FSC-H", outdir = dest, cutoff = 1)
creating summary plots....Par metro no v lido: 240x240*
Error en .local(.Object, ...) :
   Unable to find file 'C:/DOCUME~1/ewelina/CONFIG~1/Temp/Rtmpl7aftl/flowQ/images/jgEtkNPVuT/summary.pdf'
Además: Mensajes de aviso perdidos
In sysFun(paste("convert ", " -density 240x240 +append ", paste(sfiles,  :
   'convert  -density 240x240 +append C:/DOCUME~1/ewelina/CONFIG~1/Temp/Rtmpl7aftl/flowQ/images/jgEtkNPVuT/summary_1.pdf C:/DOCUME~1/ewelina/CONFIG~1/Temp/Rtmpl7aftl/flowQ/images/jgEtkNPVuT/summary.pdf' execution failed with error code 4


I can successfully follow the commands above in Fedora with R 2.10.0 and flowQ_1.6.0 installed
but not in windows:

> >  sessionInfo()
>    
R version 2.11.1 (2010-05-31)
i386-pc-mingw32

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

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

other attached packages:
  [1] flowQ_1.8.0         latticeExtra_0.6-11 RColorBrewer_1.0-2
  [4] parody_1.6.0        bioDist_1.20.0      KernSmooth_2.23-3
  [7] mvoutlier_1.4       flowViz_1.12.0      flowCore_1.14.1
[10] rrcov_1.0-01        pcaPP_1.8-1         mvtnorm_0.9-9
[13] robustbase_0.5-0-1  Biobase_2.8.0       lattice_0.18-8
[16] outliers_0.13-2

loaded via a namespace (and not attached):
  [1] annotate_1.26.0      AnnotationDbi_1.10.1 DBI_0.2-5
  [4] feature_1.2.4        geneplotter_1.26.0   graph_1.26.0
  [7] grid_2.11.1          ks_1.6.13            MASS_7.3-6
[10] RSQLite_0.9-1        stats4_2.11.1        xtable_1.5-6


thanks in advance!
best wishes,
Ewelina Bakala


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