[BioC] edgeR glmFit

Jahn Davik [guest] guest at bioconductor.org
Wed Dec 18 11:21:07 CET 2013


I am working my way through the edgeR User's Guide and following section 3.3, I encounter a problem. I run the following commands - using my own counts data:
## Chapt 3.3 i Users Guide

cots<-read.table("H:/bip1/RNAseq/Data/transcriptsRed.counts.matrix",header=T)
head(cots)
data = as.matrix(cots);
y = round(data);
head(y)

dim(data)

targets<-read.table("H:/bip1/RNAseq/Data/targets.txt",header=T)
targets

# setting up a combined factor

Group<-factor(paste(targets$Treat,targets$Time,sep="."))
cbind(targets,Group=Group)

design<-model.matrix(~0+Group)
colnames(design)<-levels(Group)
design

fit<-glmFit(y,design)

sessionInfo()

Resulting in 'Error in glmFit.default(y, design) : No dispersion values provided.'

I do not quite see where my mistake is and would appreciate help.
Thank you.

jahn








 -- output of sessionInfo(): 

 cots<-read.table("H:/bip1/RNAseq/Data/transcriptsRed.counts.matrix",header=T)
> head(cots)
                     E00R1  E00R2  E00R3 E01R1  E01R2  E01R3  E05R1 E05R2 E05R3  E48R2 E48R3 E96R1 E96R2 E96R3  J00R1 J00R2  J00R3 J01R1
comp168996_c1_seq1    0.00   0.00   0.00  0.00   0.00   0.00   0.00  0.00  0.00   0.00  0.00  0.00  0.00  0.00   0.00  0.00   0.00  0.00
comp442719_c0_seq1    0.00   0.00   0.00  0.00   0.00   0.00   0.00  0.00  0.00   0.00  0.00  0.00  0.00  0.00   0.00  0.00   0.00  0.00
comp436057_c0_seq13   0.00   7.38  21.04  0.00   0.00   0.21  21.65  0.00  0.00   0.00  0.86  0.57  9.69 18.73   0.00  0.00   0.00  7.14
comp415319_c0_seq20  28.17   0.00   0.00  0.00   0.00   0.00   0.00  0.00  0.00   0.00  0.00  0.00  0.00  0.00   0.00  0.00   0.00  0.00
comp428135_c0_seq8  249.73 228.53 172.18 57.52 104.48 113.96 187.05 94.64 84.65 134.65 99.82  0.00 65.46 82.83 219.37 59.18 134.04 81.56
comp73458_c0_seq1     0.00   0.00   0.00  0.00   0.00   0.00   0.00  0.00  2.00   0.00  0.00  0.00  0.00  0.00   0.00  0.00   0.00  0.00
                    J01R2  J01R3  J05R1  J05R2 J05R3 J48R2 J48R3 J96R1  J96R2  J96R3
comp168996_c1_seq1   1.00   0.00   1.00   0.00  0.00  0.00     0  0.00   0.00   0.00
comp442719_c0_seq1   0.00   0.00  35.09   0.00  0.00  0.00     0  0.00   0.00   0.00
comp436057_c0_seq13  3.07   0.00   0.05   0.00  0.00 19.09     0  0.60   0.00   0.00
comp415319_c0_seq20  0.00   0.00   0.00   0.00  0.00  0.00     0  0.00   0.00   0.00
comp428135_c0_seq8  87.00 188.03 177.74 115.65 75.66 26.50     0 41.02 131.62 101.48
comp73458_c0_seq1    0.00   1.00   0.00   0.00  0.00  0.00     0  0.00   0.00   0.00
> data = as.matrix(cots);
> y = round(data);
> head(y)
                    E00R1 E00R2 E00R3 E01R1 E01R2 E01R3 E05R1 E05R2 E05R3 E48R2 E48R3 E96R1 E96R2 E96R3 J00R1 J00R2 J00R3 J01R1 J01R2
comp168996_c1_seq1      0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     1
comp442719_c0_seq1      0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0
comp436057_c0_seq13     0     7    21     0     0     0    22     0     0     0     1     1    10    19     0     0     0     7     3
comp415319_c0_seq20    28     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0     0
comp428135_c0_seq8    250   229   172    58   104   114   187    95    85   135   100     0    65    83   219    59   134    82    87
comp73458_c0_seq1       0     0     0     0     0     0     0     0     2     0     0     0     0     0     0     0     0     0     0
                    J01R3 J05R1 J05R2 J05R3 J48R2 J48R3 J96R1 J96R2 J96R3
comp168996_c1_seq1      0     1     0     0     0     0     0     0     0
comp442719_c0_seq1      0    35     0     0     0     0     0     0     0
comp436057_c0_seq13     0     0     0     0    19     0     1     0     0
comp415319_c0_seq20     0     0     0     0     0     0     0     0     0
comp428135_c0_seq8    188   178   116    76    26     0    41   132   101
comp73458_c0_seq1       1     0     0     0     0     0     0     0     0
> 
> dim(data)
[1] 621694     28
> 
> targets<-read.table("H:/bip1/RNAseq/Data/targets.txt",header=T)
> targets
   Sample Treat Time
1   E00R1   Els  00h
2   E00R2   Els  00h
3   E00R3   Els  00h
4   E01R1   Els  01h
5   E01R2   Els  01h
6   E01R3   Els  01h
7   E05R1   Els  05h
8   E05R2   Els  05h
9   E05R3   Els  05h
10  E48R2   Els  48h
11  E48R3   Els  48h
12  E96R1   Els  96h
13  E96R2   Els  96h
14  E96R3   Els  96h
15  J00R1   Jon  00h
16  J00R2   Jon  00h
17  J00R3   Jon  00h
18  J01R1   Jon  01h
19  J01R2   Jon  01h
20  J01R3   Jon  01h
21  J05R1   Jon  05h
22  J05R2   Jon  05h
23  J05R3   Jon  05h
24  J48R2   Jon  48h
25  J48R3   Jon  48h
26  J96R1   Jon  96h
27  J96R2   Jon  96h
28  J96R3   Jon  96h
> 
> # setting up a combined factor
> 
> Group<-factor(paste(targets$Treat,targets$Time,sep="."))
> cbind(targets,Group=Group)
   Sample Treat Time   Group
1   E00R1   Els  00h Els.00h
2   E00R2   Els  00h Els.00h
3   E00R3   Els  00h Els.00h
4   E01R1   Els  01h Els.01h
5   E01R2   Els  01h Els.01h
6   E01R3   Els  01h Els.01h
7   E05R1   Els  05h Els.05h
8   E05R2   Els  05h Els.05h
9   E05R3   Els  05h Els.05h
10  E48R2   Els  48h Els.48h
11  E48R3   Els  48h Els.48h
12  E96R1   Els  96h Els.96h
13  E96R2   Els  96h Els.96h
14  E96R3   Els  96h Els.96h
15  J00R1   Jon  00h Jon.00h
16  J00R2   Jon  00h Jon.00h
17  J00R3   Jon  00h Jon.00h
18  J01R1   Jon  01h Jon.01h
19  J01R2   Jon  01h Jon.01h
20  J01R3   Jon  01h Jon.01h
21  J05R1   Jon  05h Jon.05h
22  J05R2   Jon  05h Jon.05h
23  J05R3   Jon  05h Jon.05h
24  J48R2   Jon  48h Jon.48h
25  J48R3   Jon  48h Jon.48h
26  J96R1   Jon  96h Jon.96h
27  J96R2   Jon  96h Jon.96h
28  J96R3   Jon  96h Jon.96h
> 
> design<-model.matrix(~0+Group)
> colnames(design)<-levels(Group)
> design
   Els.00h Els.01h Els.05h Els.48h Els.96h Jon.00h Jon.01h Jon.05h Jon.48h Jon.96h
1        1       0       0       0       0       0       0       0       0       0
2        1       0       0       0       0       0       0       0       0       0
3        1       0       0       0       0       0       0       0       0       0
4        0       1       0       0       0       0       0       0       0       0
5        0       1       0       0       0       0       0       0       0       0
6        0       1       0       0       0       0       0       0       0       0
7        0       0       1       0       0       0       0       0       0       0
8        0       0       1       0       0       0       0       0       0       0
9        0       0       1       0       0       0       0       0       0       0
10       0       0       0       1       0       0       0       0       0       0
11       0       0       0       1       0       0       0       0       0       0
12       0       0       0       0       1       0       0       0       0       0
13       0       0       0       0       1       0       0       0       0       0
14       0       0       0       0       1       0       0       0       0       0
15       0       0       0       0       0       1       0       0       0       0
16       0       0       0       0       0       1       0       0       0       0
17       0       0       0       0       0       1       0       0       0       0
18       0       0       0       0       0       0       1       0       0       0
19       0       0       0       0       0       0       1       0       0       0
20       0       0       0       0       0       0       1       0       0       0
21       0       0       0       0       0       0       0       1       0       0
22       0       0       0       0       0       0       0       1       0       0
23       0       0       0       0       0       0       0       1       0       0
24       0       0       0       0       0       0       0       0       1       0
25       0       0       0       0       0       0       0       0       1       0
26       0       0       0       0       0       0       0       0       0       1
27       0       0       0       0       0       0       0       0       0       1
28       0       0       0       0       0       0       0       0       0       1
attr(,"assign")
 [1] 1 1 1 1 1 1 1 1 1 1
attr(,"contrasts")
attr(,"contrasts")$Group
[1] "contr.treatment"

> 
> fit<-glmFit(y,design)
Error in glmFit.default(y, design) : No dispersion values provided.
> 
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)

locale:
[1] LC_COLLATE=Norwegian (Bokmål)_Norway.1252  LC_CTYPE=Norwegian (Bokmål)_Norway.1252    LC_MONETARY=Norwegian (Bokmål)_Norway.1252
[4] LC_NUMERIC=C                               LC_TIME=Norwegian (Bokmål)_Norway.1252    

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

other attached packages:
[1] edgeR_3.4.2        limma_3.18.6       DESeq_1.14.0       lattice_0.20-24    locfit_1.5-9.1     Biobase_2.22.0     BiocGenerics_0.8.0

loaded via a namespace (and not attached):
 [1] annotate_1.40.0      AnnotationDbi_1.24.0 DBI_0.2-7            genefilter_1.44.0    geneplotter_1.40.0   grid_3.0.2          
 [7] IRanges_1.20.6       RColorBrewer_1.0-5   RSQLite_0.11.4       splines_3.0.2        stats4_3.0.2         survival_2.37-4     
[13] tools_3.0.2          XML_3.98-1.1         xtable_1.7-1 

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