Hi,
I am very new to R so I apologise in advance if something doesn't make sense. I am trying to create a basic Volcano plot based on my microarray analysis. I want to colour different subgroups of the points (genes) on the volcano plot, similar to this: https://cloud.githubusercontent.com/assets/10505524/18939504/cc686790-85ce-11e6-8132-65079812dc6b.png
To get points based p value, I ran:
> with(subset(table, adj.P.Val **<**.05, logFC **<** 2.0 ), points(logFC, -log10(P.Value), pch=16, cex= c(0.4), col="darkorange2"))
and this works just fine, however, when I run a script to obtain points based on fold change, i get this:
> with(subset(table, adj.P.Val **>**.05, logFC **>** 2.0 ), points(logFC, -log10(P.Value), pch=16, cex= c(0.4), col="paleturquoise4"))
Error in points(logFC, -log10(P.Value), pch = 16, cex = c(0.4), col = "paleturquoise4") :
object 'logFC' not found
I would appreciate if anyone could help me solve this as the only difference between these two lines are the directions of the arrows "<>
" and the colour selected. I don't understand why suddenly R wouldn't be able to locate "logFC
".
Thank you!
xxx edit xxx
I found out that if I swap logFC and adj.P.Val, the error disappears.
> with(subset(table, logFC **>** 2.0, adj.P.Val **>**.05 ), points(logFC, -log10(P.Value), pch=16, cex= c(0.4), col="paleturquoise4"))
However, the problem persists for getting the final group:
> with(subset(table, logFC **>** 2.0, adj.P.Val **<**.05 ), points(logFC, -log10(P.Value), pch=16, cex= c(0.4), col="paleturquoise4"))
Error in points(logFC, -log10(P.Value), pch = 16, cex = c(0.4), col = "paleturquoise4") :
object 'logFC' not found
Not a direct answer but you can use my R package (dev), which is currently passing checks for submission to Bioconductor: https://github.com/kevinblighe/EnhancedVolcano
Then take a look at the vignette for examples.
Also take a look here,for earlier versions of this function:
Thanks! I tried your package, but I am having problems with column names as my data comes from a microarray and not RNA seq
It works independently of the platform used. Just do this:
I see that you nevertheless got it solved.