similar to: index instead of loop?

Hello, Thank you for your help/advice! The issue here is speed/efficiency. I can do what I want, but its really slow. The goal is to have the ability to do calculations on my data and have it adjusted for look-ahead. I see two ways to do this: (I'm open to more ideas. My terminology: Unadjusted = values not adjusted for look-ahead bias; adjusted = values adjusted for look-ahead bias.) 1) I

Hello, I have a nasty loop that I have to do 11877 times. The only thing that slows it down really is this merge: xx1 = merge(dt,ua_rd,by.x=1,by.y= 'rt_date',all.x=T) Any ideas on how to speed it up? The output can't change materially (it works), but I'd like it to go faster. I'm looking at getting around the loop (not shown), but I'm trying to speed up the merge first.

Hi I am still having problems with using the stl function, when I read the csv file into R into a file called tkr and use dim(tkr) the result is 132 1 which is fine. When coerce it into a trime series using ts either: tstkr <- ts(t(tkr), deltat=1/12) or tstkr <- ts(c(tkr), deltat=1/12) and use the stl function I get the following error: Error in

Hello, I have two matrices. They both have different row names and column names, but they have some common row names and column names. The row names and column names that are the same are what I am interested in. I also want the columns in the two matrices aligned the same. In the end, I need to do rd[1,1] and ua[1,1], for example and be accessing the same column and row for both matrices. Thank

Hi, I have imported a csv file into R which contains one column (the rate er 100,000 population of a disease, by month over 11 years) I coerced into a time series using the following function, tstkr<-ts(tkr,deltat=1/12) This seems to work fine, and when I check for the class of the object using class(tstkr) I get "ts" as the response. When I try to use the stl function in

I'm not sure what the usual "ping time" is for llvm-dev, but may I ask if there are any updates on this? It appears that the following lines are the root cause of the reordering (https://github.com/llvm/llvm-project/blob/fdcb27105537f77c78c4473d4f7c47146ddbab69/llvm/lib/Transforms/InstCombine/InstructionCombining.cpp#L2175): // Handle gep(bitcast x) and gep(gep x, 0, 0, 0). Value

Hello, My direct desire is a good (fast) way to fill values forward until there is another value then fill that value foward in the data xx (at the bottom of this email). For example, from row 1 to row 45 should be NA (no change), but from row 46 row 136 the value should be 12649, and from row 137 to the next value should be 13039.00. The last line of code is all you need for this part. If you

I have a networking problem where I am not certain if the problem is samba or bind. I am still pretty much a nb at linux. The machine in question is running openSuSE 10.2 and is named rd1. I had samba working fine before I started to make it a WINS server and DNS host. I have a small LAN with no real administration functionality. The network is used for simple file sharing and dial-up

Dear all, just a quick question regarding weights in logistic regression. I do results <- lrm(y.js ~ h.hhsize + h.death1 + h.ill1 + h.ljob1 + h.fin1 + h.div1 + h.fail1 + h.sex + h.ch.1

Igor asked about APPEND: > In other words: Can I break up a long line into multiple lines > in 5.01 or 5.10pre now or is that still not supported? I also wonder: can one control whether the INITRD parameter gets prepended or appended? Right now it seems to be placed after APPEND parameters, but might be more useful if it came first. The Debian/Ubuntu installers will copy parameters

Hi, I have imported a csv file into R which contains one column (the rate er 100,000 population of a disease, by month over 11 years) I coerced into a time series using the following function, tstkr<-ts(tkr,deltat=1/12) This seems to work fine, and when I check for the class of the object using class(tstkr) I get "ts" as the response. When I try to use the stl function in stats

Hi, I noticed a significant performance regression (up to 40%) on some internal CUDA benchmarks (a reduced example presented below). The root cause of this regression seems that IndVarSimpilfy widens induction variables assuming arithmetics on wider integer types are as cheap as those on narrower ones. However, this assumption is wrong at least for the NVPTX64 target. Although the NVPTX64 target

Dear R-help, Reccently I've been working on sample size estimates for our forensic scientists and have to make the work accessible to them, preferably in some Windows based graphical form. The obvious choise was Tk via R, so I now have a couple of very nice, user friendly front ends for calculating betas and beta-binomials which run equally well under Windows and other systems (same code -

I am trying to use apply and a list to supply names to a set of tables I want to generate. Below is an example that I hope mimics the larger original problem. EXAMPLE aa <- c( 2,2,1,1,2) bb <- c(5,6,6,7,4) aan <- c("yes", "no") bbn <- c("a", "b", "c", "d") mynames <- c("abby", "billy") mylist <-

I looked through the FAQ and archive and haven't seen an mention of this. Has it been considered making the sftp logging patch maintain by Michael Martinez at sftplogging.sourceforge.net a part of the main stream sftp-server? Being able to configure the default umask for sftp users who don't run a shell, and providing ftp level logging functionality typically available in other ftp

Dear all, I'm trying to use the fold function as described here: http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-cox-regression.pdf Page9 It does say that you can use this when you have more than one time varying covariate: in the description of the argument cov it says: "cov: A vector giving the column numbers of the time-dependent covariate in data, or a list of

Change the assembly code to use only relative references of symbols for the kernel to be PIE compatible. Position Independent Executable (PIE) support will allow to extended the KASLR randomization range below the -2G memory limit. Signed-off-by: Thomas Garnier <thgarnie at google.com> --- arch/x86/crypto/aes-x86_64-asm_64.S | 45 ++++++++----- arch/x86/crypto/aesni-intel_asm.S

Dear all Recently, i did some work to test small files performance for gnfsv3 transport. Following is my scenario. #####environment##### ==2 cluster nodes(nodeA/nodeB)== each is equipped with E5-2650*2, 128G memory and 10GB*2 netcard nodeA: 10.254.3.77 10.128.3.77 nodeB: 10.254.3.78 10.128.3.78 ==2 stress nodes(clientA/clientB)== each is equipped with E5-2650*2, 128G memory and 10GB*2

Hi R help forum, I have a simple data frame of four columns - one of numbers (really a categorical variable), one of dates and one of data. I have over 500,000 data points to work with, spread over 40 files, each named after a different animal. These are contact data recorded by proximity loggers over two years between the animals of the file name and collars being worn by other animals. The

Good morning RGuru's I have a data frame of 575 columns.? I want to extract only those columns that are numeric(double) or integer to do some machine learning with.? I have searched the web for a couple of days (off and on) and have not found anything that shows how to do this.?? Lots of ways to extract rows, but not columns.? I have attempted to use "(x == y)" indices extraction