Displaying 4 results from an estimated 4 matches for "lastcol".
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lastccl
2017 Aug 23
0
splitting a dataframe in R based on multiple gene names in a specific column
...G exonic BCDF5,CDFG6",
header=TRUE,stringsAsFactors=FALSE)
multgenes<-grep(",",df.sample.gene$Gene.refGene)
rep_genes<-strsplit(df.sample.gene$Gene.refGene[multgenes],",")
ngenes<-unlist(lapply(rep_genes,length))
dup_row<-function(x) {
newrows<-x
lastcol<-dim(x)[2]
rep_genes<-unlist(strsplit(x[,lastcol],","))
for(i in 2:length(rep_genes)) newrows<-rbind(newrows,x)
newrows$Gene.refGene<-rep_genes
return(newrows)
}
for(multgene in multgenes)
df.sample.gene<-rbind(df.sample.gene,dup_row(df.sample.gene[multgene,]))
df.samp...
2017 Aug 22
2
splitting a dataframe in R based on multiple gene names in a specific column
I would appreciate please a suggestion on how to do the following :
i'm working with a dataframe in R that contains in a specific column
multiple gene names, eg :
> df.sample.gene[15:20,2:8]
Chr Start End Ref Alt Func.refGene
Gene.refGene284 chr2 16080996 16080996 C T ncRNA_exonic
GACAT3448 chr2 113979920 113979920 C T ncRNA_exonic
LINC01191,LOC100499194465
2017 Aug 25
1
splitting a dataframe in R based on multiple gene names in a specific column
...> header=TRUE,stringsAsFactors=FALSE)
>
> multgenes<-grep(",",df.sample.gene$Gene.refGene)
> rep_genes<-strsplit(df.sample.gene$Gene.refGene[multgenes],",")
> ngenes<-unlist(lapply(rep_genes,length))
> dup_row<-function(x) {
> newrows<-x
> lastcol<-dim(x)[2]
> rep_genes<-unlist(strsplit(x[,lastcol],","))
> for(i in 2:length(rep_genes)) newrows<-rbind(newrows,x)
> newrows$Gene.refGene<-rep_genes
> return(newrows)
> }
> for(multgene in multgenes)
> df.sample.gene<-rbind(df.sample.gene,dup_row(df.sa...
2010 Aug 04
1
Carriage return character issue
Hi all,
I imported a file (in CSV format) into R for processing, then imported the
result into MySQL. However, there are *carriage return* characters
(hexadecimal: *0D*) that are appended to the characters in the last field of
the table.
i.e *\r* appended to the character values (as shown below)
Before importing into MySQL: asdf
After importing into MySQL: asdf*\r*
**
**
Are there any options