Hi Mahbub & bioC list
I reproduced this with the R 1.7.0 (2003-04-16) binary release for
Windows
from CRAN, and vsn_1.0.0.zip from www.bioconductor.org. The offending
code
that causes a segmentation violation can be as simple as
> library(vsn)
> summary(0)
Funny enough, nothing in vsn, and in particular not the code that is
run
when the library is loaded, does anything that is directly related to
the
function "summary". Also, nothing of that sort happens with an R 1.6.2
windows binary that runs on the same machine; neither with a current R
1.8.0 devel on HP-UX. It seems to be specific to R 1.7.0.
As a workaround, the problem does not seem to occur if, for example,
library(marrayNorm) is loaded before vsn.
vsn does some definition of standardGenerics and setMethod when it
loads,
but nothing of this has changed since last autumn. It is all written
in R,
and does not use any C code. It requires Biobase, nothing else. Could
it
be that some of the method dispatching code is rather fragile in R
1.7.0?
Has anyone encountered a similar problem with this or other packages?
I
haven't used the R.1.7.0 release much, is it otherwise working well? I
attach the the code that is executed when vsn is loading (zzz.R and
.initvsn()), maybe someone sees something that I don't.
Best regards
Wolfgang
-------------------------------------
Wolfgang Huber
Division of Molecular Genome Analysis
German Cancer Research Center
Heidelberg, Germany
Phone: +49 6221 424709
Fax: +49 6221 42524709
Http: www.dkfz.de/mga/whuber
-------------------------------------
On Wed, 30 Apr 2003, Mahbub Latif wrote:
> Hi,
>
> I am trying to use vsn package for analysing my data.
> To show what I am facing I consider the following
> example which one can reproduce.
>
>
>
> >set.seed(123)
> >cy3 <- matrix(rnorm(30,5,1),nrow=10)
>
> >set.seed(222)
> >cy5 <- matrix(rnorm(30,2,2), nrow=10)
>
> >cy <- cbind(cy3, cy5)
>
> >library(vsn)
>
> Funny things are happenning. After loading vsn package
> (library(vsn)) I cannot use some functions such as
> summary. For example,
>
> > summary(cy3)
> Segmentation fault
>
> or
>
> >cy1 <- data.frame(cy)
> >cy1
> Segmentation fault
>
> and R terminated. But the same function work peoperly
> before loading vsn package. Some other functions I
> have cheked do not work after loading vsn package such
> as plot functions of lattice package.
>
> It would be great if someone help me on this. Before
> (when I sent my previous request) I thought this
> happen only to lymphoma data but now I found loading
> vsn package affects some R base functions.
>
> >version
> platform i686-pc-linux-gnu
> arch i686
> os linux-gnu
> system i686, linux-gnu
> status
> major 1
> minor 7.0
> year 2003
> month 04
> day 16
> language R
>
>
> __________________________________
> Do you Yahoo!?
>
http://search.yahoo.com
>
-------------- next part --------------
##-----------------------------------------------------------------
## .First.lib: this function is called when the package is loaded
##-----------------------------------------------------------------
.First.lib <- function(lib, pkgname, where) {
require(Biobase, quietly=TRUE) || stop("Cannot load without package
\"Biobase\"")
if(missing(where)) {
where <- match(paste("package:", pkgname, sep=""), search())
ifis.na(where)) {
warning(paste("Not a package name: ",pkgname))
return()
}
where <- pos.to.env(where)
}
.initvsn(where)
}
-------------- next part --------------
##-----------------------------------------------------------------
## .initvsn is called by .First.lib
##-----------------------------------------------------------------
.initvsn <- function(where) {
##------------------------------------------------------------
## define the class "vsn.result"
##------------------------------------------------------------
setClass("vsn.result", where=where,
representation( ## its slots
h = "matrix",
params = "matrix",
sel = "vector"),
prototype = list( ## and default values
h = matrix(nrow=0, ncol=0),
params = matrix(nrow=0, ncol=0),
sel = logical(0)
)
)
##------------------------------------------------------------------
## params(vsn.result): will return the last column of matrix params
## i.e. the model parameters at the end of the iterations
##------------------------------------------------------------------
if (!isGeneric("params"))
setGeneric("params", function(object) standardGeneric("params"),
where=where)
setMethod("params", "vsn.result",
function(object) object@params[,ncol(object@params)],
where=where)
##------------------------------------------------------------
## plot method for vsn.result objects
##------------------------------------------------------------
if (!isGeneric("plot"))
setGeneric("plot", where=where, def=function(x, y, ...)
standardGeneric("plot"))
setMethod("plot", signature=c("vsn.result", "missing"), where=where,
definition=function(x, ...) {
if (ncol(x@h)<2 || ncol(x@h)*2 != nrow(x@params))
stop("argument x is inconsistent")
dots <- list(...)
ind <- match("what", names(dots))
if(!is.na(ind)) {
what = dots$what
dots <- dots[-ind]
} else {
what = "sdmean"
}
ind <- match("ranks", names(dots))
if(!is.na(ind)) {
ranks = dots$ranks
dots <- dots[-ind]
} else {
ranks = TRUE
}
xlab <- ylab <- main <- ""
ind <- match("xlab", names(dots))
if(!is.na(ind)) {
xlab <- dots$xlab
dots <- dots[-ind]
}
ind <- match("ylab", names(dots))
if(!is.na(ind)) {
ylab = dots$ylab
dots <- dots[-ind]
}
ind <- match("main", names(dots))
if(!is.na(ind)) {
main = dots$main
dots <- dots[-ind]
}
switch(what,
sdmean = {
cols <- c("black", "red")[as.numeric(x@sel)+1]
n <- length(x@sel)
rkm <- rank(rowMeans(x@h))
sds <- rowSds(x@h)
ltsq <- length(which(x@sel))/n
## running quantile of width 2*dm
dm <- 0.1
midpoints <- seq(dm, 1-dm, by=dm)
rq.sds <- lapply(midpoints, function(mp) {
median(sds[within(rkm/n, mp-dm, mp+dm)])
})
if(!is.logical(ranks))
stop("argument ranks must be logical")
if(ranks){
px1 <- rkm; px2 <- midpoints*n
if(xlab=="") xlab <- "rank of average intensity"
} else {
px1 <- rowMeans(x@h); px2 <- quantile(px1,
probs=midpoints)
if(xlab=="") xlab <- "average intensity"
}
if(ylab=="") ylab <- "standard deviation"
args <- list(x=px1, y=sds, pch=".", col=cols, xlab=xlab,
ylab=ylab)
do.call("plot.default", append(args, dots))
lines(px2, rq.sds, col="blue", type="b", pch=19)
},
##
offsets = {
d <- ncol(x@h)
if(main=="") main <- what
args <- list(x = x@params[1,],
ylim = range(x@params[1:d,], na.rm=TRUE),
type = "b", pch=19, main=main, xlab=xlab,
ylab=ylab)
do.call("plot.default", append(args, dots))
for (j in 2:d)
lines(x@params[j,], type="b")
},
factors = {
d <- ncol(x@h)
if(main=="") main <- what
args <- list(x = x@params[d+1,],
ylim = range(x@params[d+(1:d),], na.rm=TRUE),
type = "b", pch=19, main=main, xlab=xlab,
ylab=ylab)
do.call("plot.default", append(args, dots))
for (j in 2:d)
lines(x@params[d+j,], type="b")
},
##
stop(paste("Unknown what=", what))
) ## end switch
} ## end of function definition for "plot"
) ## end of setMethod("plot",...)
##------------------------------------------------------------
## print method for vsn.result objects
##------------------------------------------------------------
if (!isGeneric("print"))
setGeneric("print", where=where, def=function(x)
standardGeneric("print"))
setMethod("print", signature=c("vsn.result"), where=where,
definition=function(x) {
cat("vsn.result object\n",
sprintf("%dx%d-matrix of transformed intensities\n",
as.integer(nrow(x@h)), as.integer(ncol(x@h))),
sprintf("%d-vector of transformation parameters\n",
as.integer(nrow(x@params))))
}
) ## end of setMethod("print")
##------------------------------------------------------------
## show method for vsn.result objects
##------------------------------------------------------------
if (!isGeneric("show"))
setGeneric("show", where=where, def=function(x)
standardGeneric("show"))
setMethod("show", signature=c("vsn.result"), where=where,
definition=function(object) print(object) )
} ## end of .initvsn
