[BioC] HTqPCR setCategories problem
Heidi Dvinge
heidi at ebi.ac.uk
Mon May 10 16:05:19 CEST 2010
Hello Mike,
On 7 May 2010, at 17:11, Michael Muratet wrote:
> Greetings
>
> I have encountered a small problem when using the setCategories
> method:
>
> s2010004660.cat <- setCategory(s2010004660, quantile=0.9,
> groups=sampleNames(s2010004660))
> Categories after Ct.max and Ct.min filtering:
> wt_4wks mt_4wks wt_17wks mt_17wks
> OK 582 571 566 578
> Undetermined 186 197 202 190
> Categories after standard deviation filtering:
> wt_4wks mt_4wks wt_17wks mt_17wks
> OK 581 569 565 577
> Undetermined 186 197 202 190
> There were 50 or more warnings (use warnings() to see the first 50)
> > warnings()
> Warning messages:
> 1: In `[<-.factor`(`*tmp*`, index, value = "Unreliable") :
> invalid factor level, NAs generated
> 2: In `[<-.factor`(`*tmp*`, index, value = "Unreliable") :
> invalid factor level, NAs generated
> 3: In `[<-.factor`(`*tmp*`, index, value = "Unreliable") :
> invalid factor level, NAs generated
>
Hm, I can't reproduce this with the standard data sets in HTqPCR,
although this also only contains "OK" and "Undetermined" initially:
> data(qPCRraw)
> apply(featureCategory(qPCRraw), 2, table)
sample1 sample2 sample3 sample4 sample5 sample6
OK 353 312 360 339 335 336
Undetermined 31 72 24 45 49 48
> setCategory(qPCRraw, quantile=0.9, groups=rep(c("A", "B"), 3))
Categories after Ct.max and Ct.min filtering:
sample1 sample2 sample3 sample4 sample5 sample6
OK 313 264 327 295 296 286
Undetermined 68 119 56 86 86 96
Unreliable 3 1 1 3 2 2
Categories after standard deviation filtering:
sample1 sample2 sample3 sample4 sample5 sample6
OK 309 258 323 291 292 281
Undetermined 68 119 56 86 86 96
Unreliable 7 7 5 7 6 7
How does featureCategory() of your new object look after you run
setCategory? Also, it seems like all your Ct values fall within the
default range given by Ct.max and Ct.min in setCategory(), hence none
of the categories are adjusted during the "first round", before the
standard deviation filtering. What happens if you set one of Ct.max
or Ct.min so that some values are called as "Unreliable" based on
this, e.g. by saying Ct.max=25? Do you still get the same warning?
Cheers
\Heidi
> other 47 warnings are the same
>
> The categories that you get in the SDS data are "OK" and
> "Undetermined" and it seems to be unwilling to add the new level
> "Unreliable". I tried to manually add the levels:
>
> featureCategory(s2010004660)$wt_4wks <- factor(featureCategory
> (s2010004660)$wt_4wks, levels=c(levels(featureCategory(s2010004660)
> $wt_4wks),"Unreliable"))
> featureCategory(s2010004660)$mt_4wks <- factor(featureCategory
> (s2010004660)$mt_4wks, levels=c(levels(featureCategory(s2010004660)
> $mt_4wks),"Unreliable"))
> featureCategory(s2010004660)$wt_17wks <- factor(featureCategory
> (s2010004660)$wt_17wks, levels=c(levels(featureCategory(s2010004660)
> $wt_17wks),"Unreliable"))
> featureCategory(s2010004660)$mt_17wks <- factor(featureCategory
> (s2010004660)$mt_17wks, levels=c(levels(featureCategory(s2010004660)
> $mt_17wks),"Unreliable"))
>
> and get another error
>
> Error in count[names(tab), i] <- tab : subscript out of bounds
>
> Is this a bug or operator error?
>
> Thanks
>
> Mike
>
> > sessionInfo()
> R version 2.11.0 (2010-04-22)
> i386-apple-darwin9.8.0
>
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> other attached packages:
> [1] HTqPCR_1.2.0 limma_3.4.0 RColorBrewer_1.0-2
> Biobase_2.8.0
>
> loaded via a namespace (and not attached):
> [1] affy_1.26.0 affyio_1.16.0
> gdata_2.7.1 gplots_2.7.4 gtools_2.6.1
> preprocessCore_1.10.0
> [7] tools_2.11.0
>
> Michael Muratet, Ph.D.
> Senior Scientist
> HudsonAlpha Institute for Biotechnology
> mmuratet at hudsonalpha.org
> (256) 327-0473 (p)
> (256) 327-0966 (f)
>
> Room 4005
> 601 Genome Way
> Huntsville, Alabama 35806
>
>
>
>
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