I have a set of 270 RNA-seq samples, and I have already subsetted out their expected counts using the following code:
for (i in 1:length(sample_ID_list)) {
assign(sample_ID_list[i], subset(get(sample_file_list[i]), select = expected_count))
}
Where sample_ID_list is a character list of each sample ID (e.g., 313312664) and sample_file_list is a character list of the file names for each sample already in my environment to be subsetted (e.g., s313312664).
Now, the head of one of those subsetted samples looks like this:
> head(`308087571`)
# A tibble: 6 x 1
expected_count
<dbl>
1 129
2 8
3 137
4 6230.
5 1165.
6 0
The problem is I want to paste all of these lists together to make a counts dataframe, but I will not be able to differentiate between columns without their sample ID as the column name instead of expected_count.
Does anyone know of a good way to go about this? Please let me know if you need any more details!
Update: Thank you all so much for your help. I had to update my for loop as follows:
for (i in 1:length(sample_ID_list)) {
assign(sample_ID_list[i], subset(get(sample_file_list[i]), select = expected_count))
data<- get(sample_ID_list[i])
colnames(data)<- sample_ID_list[i]
assign(sample_ID_list[i],data)
}
and was able to successfully reassign the names!