similar to: splitting a dataframe in R based on multiple gene names in a specific column

Displaying 4 results from an estimated 4 matches similar to: "splitting a dataframe in R based on multiple gene names in a specific column"

2017 Aug 23
0
splitting a dataframe in R based on multiple gene names in a specific column
Hi Bogdan, Messy, and very specific to your problem: df.sample.gene<-read.table( text="Chr Start End Ref Alt Func.refGene Gene.refGene 284 chr2 16080996 16080996 C T ncRNA_exonic GACAT3 448 chr2 113979920 113979920 C T ncRNA_exonic LINC01191,LOC100499194 465 chr2 131279347 131279347 C G ncRNA_exonic LOC440910 525 chr2 223777758 223777758 T A
2017 Aug 25
1
splitting a dataframe in R based on multiple gene names in a specific column
If row numbers can be dispensed with, then tidyr makes this easy with the unnest function: ##### library(dplyr) #> #> Attaching package: 'dplyr' #> The following objects are masked from 'package:stats': #> #> filter, lag #> The following objects are masked from 'package:base': #> #> intersect, setdiff, setequal, union library(purrr)
2009 Mar 19
1
zip.file.extract
Hello everyone, Can anyone give me some hint/suggestion for unzipping a file in R? The help file for "zip.file.extract" function seems to be difficult to understand. For example, the name of my zip file is "refGene.txt.gz", which is located in "C:\Documents and Settings\Desktop\test1". I would like to unzip this file to the same directory. Here's
2010 Mar 16
1
G-test : log-likelihood ratio test
Dear Peter, I am running your g.test() with the william's correction but I have a question about the input numbers. These are my data: "Our data are consistent with those obtained using microarray comparative genome hybridization in that we found significantly fewer variants per Mb on the X compared to the autosomal chromosomes (152 versus 336 respectively, G = 93.4, P < 2e-16, df =