similar to: Scanning only specific columns into R from a VERY large file

Hi R sages, Here is my latest problem. Consider the following toy example: x <- read.table(textConnection("y1 y2 y3 x1 x2 indv.1 bagels donuts bagels 4 6 indv.2 donuts donuts donuts 5 1 indv.3 donuts donuts donuts 1 10 indv.4 donuts donuts donuts 10 9 indv.5 bagels donuts bagels 0 2 indv.6 bagels donuts bagels 2 9 indv.7 bagels donuts bagels 8 5 indv.8 bagels donuts bagels 4 1 indv.9

Hi, I was hoping someone could help me with the following problem. Consider this toy example. For the input dataset there are four individuals (rows "indv.1" through "indv.4"), measured for two different variables (columns "var.1" and "var.2") at two different levels of a factor (column "factor.level"). I want to calculate a matrix that has the

Hello again, How do I split a data frame into smaller, completely separate data frames (rather than separate data frames comprising a single "list")? Consider the following data, and my coding attempt: x <- read.table(textConnection("id type number indv.1 bagel 6 indv.2 bagel 1 indv.3 donuts 10 indv.4 donuts 9"), header = TRUE) closeAllConnections() x.split <-

Hello R listserve, I would appreciate someone's help with this problem. Consider the following toy dataset: x <- read.table(textConnection("worldclim.1 worldclim.2 cru.1 cru.2 indv.1 7 8 32 658 indv.2 7 7 39 422"), header = TRUE) How could I create a subset of the data based on the column prefix? For instance, let's say I wanted to subset only the columns with the

Hi all, I have a very simple problem that I cannot seem to find the answer to. Consider the following toy dataset: x <- read.table(textConnection("V1 apples bananas cherries indv.1 7 8 4 3 indv.2 7 7 4 9"), header = TRUE) How would I change the column name of ONLY the first column, not the others? Surely I should not have to re-specify the names of ALL the columns -- e.g.,

Hi I have the followed code for which I am writing a loop pass. int main() { int i = 0; for (i=0; i<20; i++) { printf ("hello world %d\n", i); } return 0; } In the function runOnLoop, I have the following instruction PHINode *indv = NULL; indv = L->getCanonicalInductionVariable(); However, when I check indv is always set to NULL. Since the code has a canonical

Hi, What does your LLVM IR look like. Are you sure the loop hasnt been optimized away? Arushi On Sat, May 21, 2011 at 5:52 PM, Malveeka Tewari <mtewari at eng.ucsd.edu>wrote: > Hi > > I have the followed code for which I am writing a loop pass. > > int main() { > int i = 0; > for (i=0; i<20; i++) { > printf ("hello world %d\n", i); > }

Is there a way to combine two columns within a data frame? Example data: id snp AL1 AL2 1500 30 A B 1510 30 A A 1520 30 A B This is what I would like: indv snp AL1AL2 1500 30 AB 1510 30 AA 1520 30 AB Any help is greatly appreciated. Alysta

Hello all, I am trying to write a program in R in which I call a function multiple times within a loop. The problem is that sometimes the function breaks down while calling another function, and produces an error message that breaks my loop and the program stops. I would like to keep the loop running when this function breaks down, and just move on to the next iteration in the loop. Is there

Hello again R users, I have a devilishly hard problem, which should be very simple. I hope someone out there will have the answer to this on the tip of their tongue. Please consider the following toy example: x <- read.table(textConnection("y x1 x2 indv.1 bagels 4 6 indv.2 donuts 5 1 indv.3 donuts 1 10 indv.4 donuts 10 9 indv.5 bagels 0 2 indv.6 bagels 2 9 indv.7 bagels 8 5 indv.8

Hi all, I've been using SAS proc mixed to fit linear mixed models and would like to be able to fit the same models in R. Two things in particular: 1) I have longitudinal data and wish to allow for different repeated measures covariance parameter estimates for different groups (men and women), each covariance matrix having the same structure. In proc mixed this would be done by specifying

>>>>> "WSt" == Werner Stahel <stahel@stat.math.ethz.ch> writes: [to me privately] WSt> I do not want to call this a bug, but it bugged me. Please try the WSt> following: WSt> tform <- sqrt(RADAI) ~ sqrt(RADAI.e) + TAGE.ej + SPITAL + ARZT + DAS28 + WSt> SJC + TJC + DGA + HAQ + PGA + PAIN + YEAR.SYM + YEAR.DIA + WSt> ALTER +

Cannot pretend: > ruby script\generate --pretend controller entryform index Couldn''t find ''--pretend'' generator I just wanted to see what files it would generate... Warren Fred

I just had a quick play with gzip compression on a filesystem and the result was the machine grinding to a halt while copying some large (.wav) files to it from another filesystem in the same pool. The system became very unresponsive, taking several seconds to echo keystrokes. The box is a maxed out AMD QuadFX, so it should have plenty of grunt for this. Comments? Ian

Forwarding to list :) ~Will ---------- Forwarded message ---------- From: Malveeka Tewari <mtewari at eng.ucsd.edu> Date: Sun, May 22, 2011 at 12:38 AM Subject: Re: [LLVMdev] getCanonicalInductionVariable To: willdtz at gmail.com Adding -mem2reg fixed the problem ! Thanks a lot! Malveeka On Sat, May 21, 2011 at 9:47 PM, Will Dietz <willdtz at gmail.com> wrote: > > Also, make

Hi Christopher, > > it looks like noalias might be very useful for Ada: for certain types, > > such as array types, the language standard explicitly allows the > > compiler > > to pretend that a formal argument of that type is passed by-copy (= > > by-value) > > for alias analysis purposes, while actually passing it by-reference > > (= via a

Is there a "pretend" option in rsync that will just show the transfers it is going to do without actually doing any transfers? Or even better, after it shows the transfers it is about to do to prompt if user would like to proceed. Sort of like "emerge --pretend" and "emerge --ask" in Gentoo package management. Thanks, Roumen. -- View this message in context:

Hi all, I have two tables: TABLE 1 A pk - fk (referencesc TABLE 2) B pk C pk D pk E F TABLE 2 A pk G H I L I don''t use incremental field (id). I''d like don''t use find_by_sql. How can I define both models to use correctly find method (with include)? With only one column primary key I haven''t problems. I thought two solutions, but I don''t like these

part-expand-gpt takes extreme cautions and doesn't proceed to writing to the disk if the preliminary dry run of sgdisk has generated any warnings on stdout. This blocks the use of part-expand-gpt on disk shrink (with disk resize being the main usecase for part-expand-gpt), because sgdisk dry run produces a warning in that case. So remove the excessive safety check, and leave it up to the

Dear All, I am working with skewed-t copula in my research recently, so I needed to write an mle procedure instead of using a standard fit one; I stick to the sn package. On subsamples of the entire population that I deal with, everything is fine. However, on the total sample (difference in cross-sectional dimension: 30 vs 240) things go wrong - the objective function diverges to infinity. I