search for: colindx

...e same as indx <- c(1,5,25) for (i in 1:length(indx)) vec[indx[i]] <- c(101,102,103)[i] And in the case of a data frame, df <- data.frame(d1=1:10,d2=11:20,d3=21:30), df[c(1,5,10),c(1,3)] <- data.frame(a=101:103,b=104:106)is functionally the same as rowindx <- c(1,5,10) colindx <- c(1,3) for (i in 1:length(rowindx)) { for (j in 1:length(colindx)) df[rowindx[i],colindx[j]] <- data.frame(a=101:103,b=104:106)[i,j] } Obviously I've verified that these examples work and I realize that my loops also contain subassignments; what I'm really after is to unders...

Hi Group, I have a data frame below. Within this data frame there are samples (columns) that are measured more than once. Samples are indicated by "idx". So "id1" is present in columns 1, 3, and 5. Not every id is repeated. I would like to create a new data frame so that the repeated ids are averaged. For example, in the new data frame, columns 1, 3, and 5 of the original

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]