如何在R中使用grep函数根据样本名称查找相关性

Question

I have two data frames that has information about genes. Both of these data frames has the same dimensions (20,000 rows x 50 columns). I have another file called info contains the matched subject names between those data frames. I want to grep the names from the file (info) to find the correlation coefficient between the matched subjects. here is example of those files:

df1
gene_name    loc1  loc2 .........  loc50
gene1        1        23              25
gene2        24       15              67

df2
gene_name    loc1  loc2 .........  loc50
gene1        21       31              55
gene2        2       65              89

info file
subject     loc_in_df1   loc_in_df2
1                loc1          loc2
2                loc3          loc46   

Answer 1

try something like the following

first build up a df with your columns pulled from df1 and df2 according to the info file

df <- cbind(df1[, info$loc_in_df1],df2[, info$loc_in_df2]) 

and

cor = apply(df, MARGIN = 1, FUN = function(x) return(cor.test(x[1:50], x[51:100])$estimate))

the 1:50 and 51:100 is assuming that you have 50 pairings in your info file but it's all just guessing as you didn't provide a reproducible sample