Sure, here it is :

R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)

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

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

other attached packages:
[1] DESeq2_1.2.10             RcppArmadillo_0.4.100.2.1 
Rcpp_0.11.0               GenomicRanges_1.14.4 XVector_0.2.0
[6] IRanges_1.20.7            BiocGenerics_0.8.0

loaded via a namespace (and not attached):
  [1] annotate_1.40.1      AnnotationDbi_1.24.0 Biobase_2.22.0       
DBI_0.2-7            genefilter_1.44.0 grid_3.0.2           lattice_0.20-27
  [8] locfit_1.5-9.1       RColorBrewer_1.0-5 RSQLite_0.11.4       
splines_3.0.2        stats4_3.0.2 survival_2.37-7      XML_3.98-1.1
[15] xtable_1.7-3

Hugo

Hugo Varet
Plate-Forme Transcriptome et Epigénome
Institut Pasteur
Mél. : hugo.varet@pasteur.fr
Tél. : 01-40-61-35-13

Le 11/03/2014 15:50, Michael Love a écrit :
>
> Hi Hugo,
>
> Can you provide the ouput of sessionInfo()
>
> Mike
>
> On Mar 11, 2014 10:38 AM, "Hugo Varet" <hugo.varet@pasteur.fr 
> <mailto:hugo.varet@pasteur.fr>> wrote:
>
>     Dear Mike Love and list members,
>
>     I'm running DESeq2 with a design containing two covariates: the
>     first is dichotomous while the second is continuous. Here is the
>     data.frame I put in colData(dds):
>      sample     dicho        conti
>           1         0     4.577032
>           2         0     4.462997
>           3         1     5.024896
>           4         1     4.543696
>           5         1     5.542576
>           6         1     5.356217
>           7         1     4.593729
>           8         1     4.243286
>           9         1     5.164055
>          10         0     4.565966
>          11         0     4.565966
>          12         0     4.760724
>          13         1     5.428459
>          14         1     4.515874
>          15         1     4.412964
>          16         1     4.426836
>
>     I chose to study the design (~ dicho + conti) and to test the
>     effect of the continuous covariate on the counts (about 15,000
>     features). I can compute the size factors, but when estimating the
>     dispersions, I get the following error:
>     > dds <- estimateDispersions(dds)
>     gene-wise dispersion estimates
>     error: inv(): matrix appears to be singular
>     Erreur : inv(): matrix appears to be singular
>
>     I think the error does not come from the design which is of full
>     rank and which works if I use a subset of the features. Moreover,
>     with a design as (~ dicho + conti + dicho:conti), I do not meet
>     the error ! Do you have any idea of the origin of the problem ?
>
>     Best regards,
>
>     Hugo
>
>     -- 
>     Hugo Varet
>     Plate-Forme Transcriptome et Epigénome
>     Institut Pasteur
>     Mél. : hugo.varet@pasteur.fr <mailto:hugo.varet@pasteur.fr>
>     Tél. : 01-40-61-35-13
>
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>


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