similar to: indexing and regression testing

Hi, Anyone can tell me how to generate "A01", "A02", ..., "A99"? paste("A", 1:99, sep="") generates "A1", "A2",..., "A99". This is not what I want. Thanks for the help. -MY [[alternative HTML version deleted]]

Dear All, I am working on a function that has an optional data argument, just like lm(). If the user sets the data argument equal to some dataframe, then the function should look inside the dataframe for the variables given to other arguments, otherwise the variables should be accessible from what I believe is called the parent frame from which the function was called. I looked at the source code

Often it is useful to keep a "codebook" to document the contents of a dataset. (By "dataset" I mean a rectangular structure such as a dataframe.) The codebook has as many rows as the dataset has columns (variables, fields). The columns (fields) of the codebook may include: ? variable name ? type (character, factor, integer, etc) ? variable label

Hi R-users, I want to apply a function to each column of a data frame that is numeric. Thus I tried to check it for each column first: > apply(df, 2, function(x) is.numeric(x)) A60 A64 A66a A67 A71 A75a A80 A85 A91 A95 A96 A97 A98 A99 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE

Hello, I'm trying to fetch a data frame through the C API, and have no problem doing this when all columns are numbers, but when there is a column of strings I have a problem. On the C-side the function looks like: SEXP myfunc(SEXP df), and it is called with a dataframe from the R side with: .Call("myfunc", somedataframe) On the C side (actually C++ side) I use code like this:

I was working with the rmetrics portfolioBacktesting function and dug into the code to try to find why my formula with 113 items, i.e. A1 thru A113, was being truncated and I only get 85 items, not 113. Is it due to a string length limitation in R or is it a bug in the strsplit or gsub functions, or in my string? I'd very much appreciate any suggestions ============Input script:

Dear all, I have some count data and I would like to know how can I assess which are the items in my dataset that have a count significantly smaller or bigger than I would expect (each item with the same number of counts, i.e. from a uniform distribution). Example file: Item Count A0001 48 A0002 39 A0003 28 A0004 16 A0005 13 A0006 2 ... ... A9999 15

https://bugs.freedesktop.org/show_bug.cgi?id=111218 Bug ID: 111218 Summary: Segmentation fault in nv50_ir::NVC0LegalizeSSA::handleDIV when dividing result of textureSize Product: Mesa Version: 19.0 Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: major

Hi folks, I inherited a very old computer (I guess about 8 years old) which I'd like to use for some training on CentOS. I downloaded images for CentOS 6.4 i386 (DVD 1 and 2) and burned them onto discs. After inserting DVD 1 into drive and booting, on the "Welcome to CentOS 6.4!" screen I select "Install or upgrade an existing system". I then skip the media test and

I get the launcher. Click start game. the screen pops up with the background but the login never pops up. Please help. Im running ubuntu 10.04 with the latest version of Wine .44. I have winetricks installed with all required installed according to AppDB, Pre thanks Code: fixme:font:WineEngAddFontResourceEx Ignoring flags 10 fixme:font:WineEngAddFontResourceEx Ignoring flags 10

Dear R users, I am trying to use xyplot to draw group mean and CI. The following is the sample code. But I want: 1. Use different colors and symbols to draw individual points, CI and the lines connect group means from different time points; 2. Add jitters to x axis to allow CIs not be overlapped Could anyone modify the attached code to achieve this? Thanks library(lattice)

I'm not sure this list is the right place for this thing. I noticed some erratic behaviour in sammon(). Running sammon on two nearly identical sets of data results in very different results. Below is an example. I create an initial configuration with cmdscale() and store it into 'vec1'. I write this to file, and read it back in again to 'vec2'. According to cor() on the three

Hello R specialists, I have a base vector called vBase with 102 elements. I have another vector vec1 which elements are only part of vBase but is shorter. I transform vec1 so I get a vector with the same size as vBase and with each common element on the same indexed row. If a value is missing in vec1 then I put a Na like this: vec1 vBase Amsterdam Amsterdam Na

There seems to be an issue in computing rank correlations with missing values present. I think this comes from the way rank() function works but I am not sure how to go about this. Rank function places missing values at the end by default thus skewing the rank relationship between two vectors: Example: R : Copyright 2003, The R Foundation for Statistical Computing Version 1.8.1 (2003-11-21),

Hallo all Please help me. I am lost and do not know what is the problem. I have a factor called kvartaly. > attributes(kvartaly) $levels [1] "1Q.04" "2Q.04" "3Q.04" "4Q.04" "1Q.05" "2Q.05" "3Q.05" "4Q.05" $class [1] "factor" > mode(kvartaly) [1] "numeric" > str(kvartaly) Factor w/ 8

Dear R-helpers: I have a question related to using do.call to call cbind and get. #the following works vec1 <- c(1,2) vec2 <- c(3,4) ColNameVec <- c('vec1','vec2') mat <- do.call("cbind",lapply(ColNameVec,get)) mat #put code above into a function then it does not work #before doing so, first remove vec1 and vec2 from global environment rm(vec1,vec2) test

Hello. Sorry I am not sure this question should go to llvm or mesa3d-dev mailing list, so I post it to both. I am writing a llvm backend for a modern graphics processor which has a ISA very similar to that of Direct 3D. I am reading the code in Gallium-3D driver in a mesa3d branch, which converts the shader programs (TGSI tokens) to LLVM IR. For the shader instruction also found in LLVM IR,

Hello, I'm using the eclat function of the arules package (1.0-6) for the identification of frequent itemsets. I need the tidLists, but if I set in the function tidLists=TRUE R crashes (Windows XP Professional SP3, 32 bit, R version 2.12.1 (2010-12-16), reproducible on two different computers) with two different error messages or non at all. Minimum examples are: library(arules)

Alex wrote: > Hello. > > Sorry I am not sure this question should go to llvm or mesa3d-dev mailing > list, so I post it to both. > > I am writing a llvm backend for a modern graphics processor which has a ISA > very similar to that of Direct 3D. > > I am reading the code in Gallium-3D driver in a mesa3d branch, which > converts the shader programs (TGSI tokens) to

Hi everyone. I am quite frustrated that this doesn't work, as all the functions within work fine by themselves. I'd also like any pointers to how to avoid 'for' loops in my code. I understand it's less than desirable, but I'm still quite new and use them a lot. I have a few wide datasets (90 to 120) with long column names, each name contains a number of different