similar to: inefficient for loop, is there a better way?

On Mon, Nov 30, 2009 at 7:22 PM, Javier Martinez <javier at jmartinez.org> wrote: > Hello, > > I'm working in adding support for 64-bit integers to my target. I'm using > LLVM to decompose the 64-bit integer operations by using 32-bit registers > wherever possible and emulating support where not. When looking at the bit > shift decomposition I saw what seems to be a

Hello, I'm working in adding support for 64-bit integers to my target. I'm using LLVM to decompose the 64-bit integer operations by using 32-bit registers wherever possible and emulating support where not. When looking at the bit shift decomposition I saw what seems to be a bug in the implementation. The affected function is ExpandShiftWithUnknownAmountBit in LegalizeIntegerTypes.cpp.

Hi, I want to use the value of variable to quote elements in matrix. For example, I have a matrix like:               y1   y2m1         1      2m2         3      4 where y1,y2,m1,m2 are column and row names.  I have two random character variable, say x,  that could be either  y1 or y2  and  y that could be either m1 or m2.  So can I  do like   Matrix[y,x] to quote elements?  I've tried this

Hi all, llvm newbie here. I'm trying to branch based on a vector compare. I've found a slow way (below) which goes through memory. Is there some idiom I'm missing so that it would use for instance movmsk for SSE or vcmpgt & cr6 for altivec? Or do I need to resort to calling the intrinsic directly? Thanks, Stephen. %16 = fcmp ogt <4 x float> %15, %cr %17 =

I keep expecting R to have something analogous to the =count function in Excel, but I can't find anything. I simply want to count the data for a given category. I've been using the ddply() function in the plyr package to summarize means and st dev of my data, with this code: ddply(NZ_Conifers,.(ElevCat, DataSource, SizeClass), summarise, avgDensity=mean(Density),

Hello, I have a data set that needs to be combined so that rows are summed by a group based on a certain variable. I'm pretty sure rowsum() or rowsums() can do this but it's difficult for me to figure out how it will work for my data based on the examples I've read. My data are structured like this: Plot SizeClass Stems 12 Class3 1 12 Class4

Can any one help it will be very kind, loop statements I have this table and some more records, I want to reshape it V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 TP53 Dis1 Dis2 Dis3 Dis4 Dis5 Dis6 DCI New1 New2 New3 New4 FDI Hi2 H3 H4 GHD I1 I3 I4 I5 I6 I7 I8 I want my new table or matrix to be some thing like this V1 V2 V3 Tp53 Dis1 Dis2 Tp53 Dis1 Dis3 Tp53 Dis1 Dis4 Tp53 Dis1 Dis5 Tp53 Dis1 Dis6 Tp53 Dis2

Some background: I have some data on structural dependencies in a base of code artifacts. The dependency structure is reflected in terms of relative node degrees, with each node representing some code unit (just as an example). This gives me real data of the following form (sorry for the longish posting): dat1 <- c(0.00245098039215686, 0, 0, 0, 0, 0, 0, 0, 0.0563725490196078, 0, 0, 0,

Hi all, Im having a hard time figuring whats wrong with my Samba-ldap setup. I hope somebody may point out the error. I've set it up according to John H. Terpstra's excellent "Samba 3 by example". This book is also availible from samba.org, and chapter I'm referencing is this: http://us1.samba.org/samba/docs/man/Samba-Guide/happy.html I followed the book character by

Hi Stephen, > Hi all, llvm newbie here. welcome! > I'm trying to branch based on a vector compare. I've found a slow way (below) > which goes through memory. Is there some idiom I'm missing so that it would use > for instance movmsk for SSE or vcmpgt & cr6 for altivec? I don't think you are missing anything: LLVM IR has no support for horizontal operations like

I just also wanted to mention that I have the current released source tarballs downloaded and placed at http://people.debian.org/~jbouse/xen/ at this time. As the only way to get the source tarballs I've found is via bittorrent unless you want to give your email address I'll continue to keep the the current tarball located there. That is one thing that I noticed about Ralph's

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

anova() on three or more objects behaves inconsistently in R. In R anovalist.lm does a sequential ANOVA using pairwise F tests, ignoring all the other objects, so the larger of the two models provides the denominator. In S anova.lmlist uses the denominator from the largest model (smallest residual df) in the set, as does anova.glmlist in both. I suggest that R's anovalist.lm is wrong (that

Hi, I have a data frame consisting of coordinates on a 10*10 grid, i.e. > example x y 1 4 5 2 6 7 3 6 6 4 7 5 5 5 7 6 6 7 7 4 5 8 6 7 9 7 6 10 5 6 What I would like to do is return an 10*10 matrix consisting of counts at each position, so in the above example I would have a matrix where, for example, cell [4,5] contains 2 and [6,7] contains 3. At the

Hello, I'm trying to do bar plot where 'sex' will be the category axis and 'occupation' will represent the bars and the clusters will represent the mean 'income'. sex occupation income 1 female j 12 2 male b 34 3 male j 22 4 female j 54 5 male b 33 6

Hi, Is there a way to simulate a population with R and pull out m samples, each with n values for calculating m means? I need that kind of data to plot a graphic, demonstrating the central limit theorem and I don't know how to begin. So, perhaps someone can give me some tips and hints how to start and which functions to use. thanks for any help, joerg

Something strange here. User created using: root at dc1:~# samba-tool user add user7 Abcd1234 --uid-number=1007 --home-directory=/home/user7 --login-shell=/bin/bash User 'user7' created successfully I can see the homeDirectory attribute in the entry. But the home directory that winbind returns is just the template one: root at adclient:~# getent passwd user7

I am puzzled at the use of regression. I have a categorical variable ClassePop33000 which factors a Population variable into 3 levels. I want to investigate whether that categorical variable has some relation with my dependent variable, so I go : lm(Cout.ton ~ ClassePop33000, data=ech2) Call: lm(formula = Cout.ton ~ ClassePop33000, data = ech2) Residuals: Min 1Q Median 3Q

I want the standard error associated with a correlation. I can calculate using cor & var, but am wondering if there are libraries that already provide this function. [[alternative HTML version deleted]]

How do u do this? -- View this message in context: http://r.789695.n4.nabble.com/Expressing-z-t-test-data-in-a-graph-tp2131604p2131604.html Sent from the R help mailing list archive at Nabble.com.