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29177
2005 Jun 13
3
To many NA's from mean(..., na.rm=T) when a column is all NA's
Dear R-help folks,
I am seeing unexpected behaviour from the function mean
with option na.rm =TRUE (which is removing a whole column of a data frame
or matrix.
example:
testcase <- data.frame( x = 1:3, y = rep(NA,3))
mean(testcase[,1], na.rm=TRUE)
[1] 2
mean(testcase[,2], na.rm = TRUE)
[1] NaN
OK, so far that seems sensible. Now I'd like to compute both means at
once:
2014 Jan 28
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hi Stepan,
Sorry for the delay. It's great that you are working on MergeFunctions
as well and I agree, we should definitely try to combine our efforts to
improve MergeFunctions.
Just to give you some context, the pass (with the similar function
merging patch) is already being used in a production setting. From my
point of view, it would be better if we focus on improving its
capability
2014 Jan 30
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
...3 64557 0 0.01 64533 0 0.01 64533
gxstroke.ll 8 138736 0 0.02 138712 0 0.02 138712
GzHandler.ll 82 370584 1 0.03 370627 * * *
hack.ll 9 187860 0 0.02 187830 0 0.03 187830
Halignmm.ll 9 209305 0 0.03 209290 0 0.02 209290
HandlerOut.ll 19 324670 0 0.03 324630 0 0.03 323596
hash2.ll 137 294380 11 0.03 291977 6 0.03 292753
hasharray.ll 18 29950 0 0.01 29933 0 0.01 29933
hash.ll 8 25776 0 0.01 25757 0 0.01 25757
hbd.ll 1 4647 0 0.01 4630 0 0.01 4630
hcg.ll 6 20173 0 0.01 20150 0 0.01 20150
header.ll 6 133355 0 0.02 133334 0 0.02 133334
headers.ll 15 92894 0 0.02 92863 0 0.01 92863
health.ll 9 62043 0 0.0...