search for: rightward

...w why each histogram has two peaks, or why llvm's left-hand peak is at a lower code size than gcc's left-hand peak. Perhaps the left-hand peaks indicate trivial random programs that compile completely away and then llvm has a more concise crt0. Anyway the interesting effect here is the rightward shift of the main bulk of the binaries produced by llvm vs. gcc. This would seem to indicate that there are optimization opportunities being missed by llvm. Ideally, there would be some automatic way to identify these opportunities, perhaps using delta-debugging techniques. If this seems i...

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

...o peaks, or why llvm's left- > hand peak is at a lower code size than gcc's left-hand peak. > Perhaps the left-hand peaks indicate trivial random programs that > compile completely away and then llvm has a more concise crt0. > > Anyway the interesting effect here is the rightward shift of the > main bulk of the binaries produced by llvm vs. gcc. This would seem > to indicate that there are optimization opportunities being missed > by llvm. Ideally, there would be some automatic way to identify > these opportunities, perhaps using delta-debugging techni...

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?