[R] how do I add text lables on QQ plot
David Winsemius
dw|n@em|u@ @end|ng |rom comc@@t@net
Thu Mar 12 05:21:49 CET 2020
On 3/10/20 9:51 PM, Ana Marija wrote:
> Hello,
>
> I am making QQ plot via:
>
> library(ggman)
> qq(fdr2_sorted$FDR.q.val2, main = "RG_All", pch = 17,
> col=fdr1_sorted$group, cex = 1, las = 1)
I think you may be confusing the audience. There is no qq function in
the ggman package. There is however a qq function in the qqman package.
Running the example in help page for qqman::qq and looking at the code
suggests this is a base plot function, so the text function will allow
you to put any particular string within the plot area:
library(qqman)
qq(gwasResults$P)
text( 2, 6, "arbitrary") # puts text "arbitrary" at postion (x=2, y=6)
>
> data frames used look like this:
>
>> head(fdr1_sorted)
You should use `dput` to post reproducible data examples.
HTH;
David.
> NAME GS<br> follow
> link to MSigDB GS DETAILS SIZE ES NES NOM p-val
> 1: GO_DNA_PACKAGING_COMPLEX
> GO_DNA_PACKAGING_COMPLEX Details ... 77 0.6757226 2.466745
> 0
> 2: GO_PROTEIN_DNA_COMPLEX
> GO_PROTEIN_DNA_COMPLEX Details ... 132 0.5958179 2.346520 0
> 3: GO_RESPONSE_TO_TYPE_I_INTERFERON
> GO_RESPONSE_TO_TYPE_I_INTERFERON Details ... 52 -0.7521569 -2.533148
> 0
> 4: GO_RESPONSE_TO_INTERFERON_GAMMA
> GO_RESPONSE_TO_INTERFERON_GAMMA Details ... 101 -0.6370415 -2.420473
> 0
> 5: GO_CELLULAR_RESPONSE_TO_INTERFERON_GAMMA
> GO_CELLULAR_RESPONSE_TO_INTERFERON_GAMMA Details ... 85 -0.6571892
> -2.402153 0
> 6: GO_GRANULOCYTE_MIGRATION
> GO_GRANULOCYTE_MIGRATION Details ... 43 -0.7332099 -2.398983
> 0
> FDR q-val FWER p-val RANK AT MAX LEADING EDGE V12
> group FDR.q.val2
> 1: 0 0 1111 tags=43%, list=10%, signal=47% NA
> 2 1e-10
> 2: 0 0 1516 tags=39%, list=13%, signal=45% NA
> 2 1e-10
> 3: 0 0 1427 tags=54%, list=12%, signal=61% NA
> 4 1e-10
> 4: 0 0 1819 tags=45%, list=16%, signal=52% NA
> 4 1e-10
> 5: 0 0 1216 tags=38%, list=11%, signal=42% NA
> 4 1e-10
> 6: 0 0 491 tags=28%, list=4%, signal=29% NA
> 4 1e-10
>
>> head(fdr2_sorted)
> NAME GS<br> follow
> link to MSigDB GS DETAILS SIZE ES NES NOM p-val
> 1: GO_DNA_PACKAGING_COMPLEX
> GO_DNA_PACKAGING_COMPLEX Details ... 77 0.6757226 2.466745
> 0
> 2: GO_PROTEIN_DNA_COMPLEX
> GO_PROTEIN_DNA_COMPLEX Details ... 132 0.5958179 2.346520 0
> 3: GO_RESPONSE_TO_TYPE_I_INTERFERON
> GO_RESPONSE_TO_TYPE_I_INTERFERON Details ... 52 -0.7521569 -2.533148
> 0
> 4: GO_RESPONSE_TO_INTERFERON_GAMMA
> GO_RESPONSE_TO_INTERFERON_GAMMA Details ... 101 -0.6370415 -2.420473
> 0
> 5: GO_CELLULAR_RESPONSE_TO_INTERFERON_GAMMA
> GO_CELLULAR_RESPONSE_TO_INTERFERON_GAMMA Details ... 85 -0.6571892
> -2.402153 0
> 6: GO_GRANULOCYTE_MIGRATION
> GO_GRANULOCYTE_MIGRATION Details ... 43 -0.7332099 -2.398983
> 0
> FDR q-val FWER p-val RANK AT MAX LEADING EDGE V12
> FDR.q.val2
> 1: 0 0 1111 tags=43%, list=10%, signal=47% NA
> 1e-10
> 2: 0 0 1516 tags=39%, list=13%, signal=45% NA
> 1e-10
> 3: 0 0 1427 tags=54%, list=12%, signal=61% NA
> 1e-10
> 4: 0 0 1819 tags=45%, list=16%, signal=52% NA
> 1e-10
> 5: 0 0 1216 tags=38%, list=11%, signal=42% NA
> 1e-10
> 6: 0 0 491 tags=28%, list=4%, signal=29% NA
> 1e-10
>
> and I would like to get the plot like the one in attach.
>
> Please advise,
> Ana
>
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