Dear Team,
I have been looking at some CopraRNA 2 jobs and saw that sometimes the Additional homologs column is completely filled with "NA" values. Based on preliminary examination I suspect that this occurs when the whole column is empty (no Additional homologs at all) prior to CopraRNA 2 processing. i.e. R interprets the data type differently. This is not strictly a bug but technically the convention is to have the field empty if there are no additional homologs. Thus I think it should be fixed.
@JensGeorg : this is probably something that you can fix quite easily by "telling" R within your script which data type the "Additional homologs" column is -> string.
I assume this is where you can fix it but please check it yourself since its your part of the software:
|
da<-read.csv("CopraRNA2_prep_anno_addhomologs_padj_amountsamp.csv") ## edit prw changed file name |
Dear Team,
I have been looking at some CopraRNA 2 jobs and saw that sometimes the Additional homologs column is completely filled with "NA" values. Based on preliminary examination I suspect that this occurs when the whole column is empty (no Additional homologs at all) prior to CopraRNA 2 processing. i.e. R interprets the data type differently. This is not strictly a bug but technically the convention is to have the field empty if there are no additional homologs. Thus I think it should be fixed.
@JensGeorg : this is probably something that you can fix quite easily by "telling" R within your script which data type the "Additional homologs" column is -> string.
I assume this is where you can fix it but please check it yourself since its your part of the software:
CopraRNA/coprarna_aux/join_pvals_coprarna2.R
Line 41 in 64ac4ca