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Last seen 10.3 years ago
hi,
i am doing one color agilent arrays..i have three
groups,GROUP1,GROUP2,GROUP3 and each group has 4 replicates.i made
contrast matrix using limma.Is this possible to analyse data by
RankProd using same contrast matrix.
i want to make comparison by RankProd as
GROUP1 vs GROUP2
GROUP1 vs GROUP3
GROUP3 vs GROUP2
plz let me know if there is any way to do it in single command using
RankProd as we can do it in limma.
this is the R-script i used.
targets
SampleNumber FileName Condition
1 1 K_BNG202_251485068094_1.txt GROUP1
2 2 K_BNG211_251485067236_1.txt GROUP1
3 3 K_BNG252_251485068096_1.txt GROUP1
4 4 K_BNG263_251485068028_1.txt GROUP1
5 5 P_BNG019_251485068025_3.txt GROUP2
6 6 P_BNG039_251485066211_1.txt GROUP2
7 7 P_BNG065_251485068023_4.txt GROUP2
8 8 P_BNG076_251485068021_4.txt GROUP2
9 9 V_BNG264_251485068028_2.txt GROUP3
10 10 V_BNG271_251485068092_1.txt GROUP3
11 11 V_BNG_043_251485037342_2.txt GROUP3
12 12 V_BNG_089_251485037359_3.txt GROUP3
> colnames(y.q[j,])
[1] "K_BNG202_251485068094_1" "K_BNG211_251485067236_1"
"K_BNG252_251485068096_1"
[4] "K_BNG263_251485068028_1" "P_BNG019_251485068025_3"
"P_BNG039_251485066211_1"
[7] "P_BNG065_251485068023_4" "P_BNG076_251485068021_4"
"V_BNG264_251485068028_2"
[10] "V_BNG271_251485068092_1" "V_BNG_043_251485037342_2"
"V_BNG_089_251485037359_3"
> design <- model.matrix(~0 + f)
Error in eval(expr, envir, enclos) : object 'f' not found
> f <- factor(targets$Condition, levels = unique(targets$Condition))
> design <- model.matrix(~0 + f)
> colnames(design) <- levels(f)
> contrast.matrix <- makeContrasts("GROUP1-GROUP2", "GROUP2-GROUP3",
"GROUP3-GROUP1", levels=design)
-- output of sessionInfo():
R version 2.10.0 (2009-10-26)
i386-pc-mingw32
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United
States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United
States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] RankProd_2.30.0 limma_3.4.3
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