Dear UseRs,
I have a data frame that looks like this:
head(test2)
attributes start end StemExplant Callus RegenPlant
1 LTR_Unknown 120 535 3.198 1.931 1.927
3 LTR_Unknown 2955 3218 0.541 0.103 0.613
6 LTR_Unknown 6210 6423 6.080 4.650 9.081
9 LTR_Unknown 9658 10124 0.238 0.117 0.347
14 LTR_Unknown 14699 14894 3.545 3.625 2.116
25 LTR_Unknown 33201 33474 1.275 1.194 0.591
I need to subtract each value in the "end" column from its corresponding value
in the "start" column, then append that difference as a new column in this data
frame.
It seems like apply could be the way to approach this, but I can't see any easy
way to designate "difference" as a function, like, say, sum or mean. Plus, all
the apply/lapply examples I'm looking at seem to depend on a data frame being
just the two columns on which to operate, without any way to designate which
columns to use in the function(x,y) part of an lapply statement. Another
alternative would be a for loop, but when I try this:
for(i in 1:nrow(test2)) {
testout[i] <- (test2$end[i] - test2$start[i])
}
I get an error. So I'm stuck at the first step here. I think that once I can
figure out how to get the differences, I can use cbind to append the data
frame. But if there is a better way to do it, I'd like to know that as well.
Any help is appreciated.
--Kelly V.
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