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This is a bit random but perhaps interesting: Attached is a histogram of code sizes for about 50,000 random C programs compiled by recent versions of llvm and gcc. x-axis is bytes in the text segment and y-axis is number of programs in each 100-byte bucket. Code size for a program is taken to be the smallest code size across -O0, -O1, -O2, -O3, and -Os, for a given compiler. I don't

Hi! OK, I'm trying to select some "useful outliers" from my dataset: I defined 11 "treshold" values (1 for each level of a variable (sampling site) as follows: tresholds<-function(x) { tapply(x,mm$NAME,FUN=mean ,simplify = T, na.rm=T)->med tapply(x,mm$NAME,FUN=sd ,simplify = T, na.rm=T)->standev standev+med } tresholds(mm$chl) Now I'd like to select

I've installed Wine under Ubuntu 8.10 and my windows apps seem to run quite nicely. The only problem I have is a cosmetic gripe. Clicking on the menu bar in a windows app drops down the menu fine (the file menu in Photoshop for example), but as I then move my mouse pointer rightwards over the adjacent menu headings, white dots appear at the dividing point between each menu... Does anyone else experience this? Is it graphics card specific? TIA, Spd

Dear R users, I have three questions measuring close relationships. The questions are same and the respondents put the answer in order. I'd like to examine the pattern of answers and visualize it. For example q1 (A,B,C,D,E) and q2 and q3 are the same. If the respondents selects A B C (so BCA or BAC or CBA or CAB), I'd like to construct frequency table for ABC and other combinations for

This is interesting. Nobody has tried very hard to get -Os to work well AFAIK, so it's that not surprising it doesn't:) Aside from optimization knobs, I don't think there's anything in x86 instruction selection to pick small code sequences, which can be important. I suspect -Os will become important later though. One thing that might be going on is differing default

please excuse me if this ones a basic error > y<-c(-0.7,-0.6,-0.5) > -0.7^1.22 [1] -0.6471718 > y^1.22 [1] NaN NaN NaN am I missing something important in my basic math?