> Data[1:7,1]
[1] mature=hsa-miR-5087|mir_Family=-|Gene=OR4F5        
[2] mature=hsa-miR-26a-1-3p|mir_Family=mir-26|Gene=OR4F9
[3] mature=hsa-miR-448|mir_Family=mir-448|Gene=OR4F5   
[4] mature=hsa-miR-659-3p|mir_Family=-|Gene=OR4F5      
[5] mature=hsa-miR-5197-3p|mir_Family=-|Gene=OR4F5     
[6] mature=hsa-miR-5093|mir_Family=-|Gene=OR4F5        
[7] mature=hsa-miR-650|mir_Family=mir-650|Gene=OR4F5

我想做的是,在每一行中,我想选择字成熟=之后的名字,还有在Gene =之后的单词,然后将它们与

paste(a,b,sep="-")

例如,前两行的预期输出将如下所示：

hsa-miR-5087-OR4F5
hsa-miR-26a-1-3p-OR4F9

所以最终的实现是这样的：

for(i in 1:nrow(Data)){
    Data[i,3] <- sub("mature=([^|]*).*Gene=(.*)","\\1-\\2",Data[i,1])
    Name <- strsplit(as.vector(Data[i,2]),"\\|")[[1]][2]
    Data[i,4] <- as.numeric(sub("pvalue=","",Name))
    print(i)
}

哪个工作很好,但速度很慢.数据的大小很大,它有2亿行.这个实现非常慢.我该如何加速？