very helpful, thanks a lot !
On Thu, Nov 1, 2018 at 9:59 PM William Michels
wrote:
> Perhaps one of the following two methods:
>
> > zgene = data.frame( TTT=c(0,1,0,0),
> +TTA=c(0,1,1,0),
> + ATA=c(1,0,0,0),
> + ATT=c(0,0,0,0),
> +
Perhaps one of the following two methods:
> zgene = data.frame( TTT=c(0,1,0,0),
+TTA=c(0,1,1,0),
+ ATA=c(1,0,0,0),
+ ATT=c(0,0,0,0),
+ row.names=c("gene1", "gene2", "gene3", "gene4"))
> zgene
TTT TTA ATA ATT
gene1 0 0 1
Dear Bill, and Bill,
many thanks for taking the time to advice, and for your suggestions. I
believe that I shall rephrase a bit my question, with a better example :
thank you again in advance for your help.
Let's assume that we start from a data frame :
x = data.frame( TTT=c(0,1,0,0),
Hi Bogdan,
Are you saying you want to drop columns that sum to zero? If so, I'm
not sure you've given us a good example dataframe, since all your
numeric columns give non-zero sums.
Otherwise, what you're asking for is trivial. Below is an example
dataframe ("ygene") with an example "AGA" column
This would be a bit simpler if 'gene' were the rownames of the data.frame.
The '-4' is to remove the gene column from the calculations.
> x[ x[,"gene"]=="gene2",]
TTT TTA ATA gene
2 1 1 0 gene2
> colnames(x)[-4][ 1 == x[ x[,"gene"]=="gene2",-4] ]
[1] "TTT" "TTA"
> colnames(x)[-4][ 1 == x[
Dear all, please may I ask for a suggestion :
considering a dataframe that contains the numerical values for gene
expression, for example :
x = data.frame(TTT=c(0,1,0,0),
TTA=c(0,1,1,0),
ATA=c(1,0,0,0),
gene=c("gene1", "gene2", "gene3", "gene4"))
ho
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