Hello,
I am following the vignette of the DEGreport, all good until I got to the representation of the data.
All the initial part, work nice and smooth:
'''
data(humanGender)
idx <- c(1:10, 75:85)
edds <- DESeqDataSetFromMatrix(assays(humanGender)[[1]][1:1000, idx],
colData(humanGender)[idx,], design=~group)
edds <- DESeq(edds)
eres <- results(edds)
ecounts <- counts(edds, normalized = TRUE)
edesign <- as.data.frame(colData(edds))
'''
The Variance reprsentation work well too,
Then the mean-variance QC plots, is not working.
In the wignete there is already a Warning, about the guides,
Now in my console instead of a warning is an Error and I cannot keep going.
'''
degQC(counts, design[["group"]], pvalue = res[["pvalue"]])
'''
Error in the Console:
degQC(ecounts, edesign[["group"]], pvalue = eres[["pvalue"]])
Error: ggplot2::labels object is invalid:
- every label must be named.
Please any idea to fix this?
Thanks
L
Hello,
I am following the vignette of the DEGreport, all good until I got to the representation of the data.
All the initial part, work nice and smooth:
'''
data(humanGender)
idx <- c(1:10, 75:85)
edds <- DESeqDataSetFromMatrix(assays(humanGender)[[1]][1:1000, idx],
colData(humanGender)[idx,], design=~group)
edds <- DESeq(edds)
eres <- results(edds)
ecounts <- counts(edds, normalized = TRUE)
edesign <- as.data.frame(colData(edds))
'''
The Variance reprsentation work well too,
Then the mean-variance QC plots, is not working.
In the wignete there is already a Warning, about the guides,
Now in my console instead of a warning is an Error and I cannot keep going.
'''
degQC(counts, design[["group"]], pvalue = res[["pvalue"]])
'''
Error in the Console:
Please any idea to fix this?
Thanks
L