similar to: regex scares me

Do any of you know any simple programming editors for R scripts which offer basic colour-coding and bracket-matching facilities? Dregging through scripts to find a missing comma or parentheses is something I'd rather do less of... Jon Minton [[alternative HTML version deleted]]

Hi R users: I have the British Household Panel Survey (BHPS) in .tab format. I want to feed it through the Amelia package (which will be an ‘interesting’ job in itself).. But first I need to convert the various types of missing value (from about -9 to -1) to a more generic ‘NA’ code. I’ve written the following function to do this: BHPS.converter <-

Dear R users: Is there a built-in and simple way to insert new columns after other columns in a dataframe? I.e. currently I have: V1 V2 V3 V4 [1,] [2,] Etc. But I want V1 V5 V2 V3 V4 [1,] [2,] Etc. Can this be done in one line? Jon Minton [[alternative HTML version deleted]]

Hi: Do any of you know if there's an equivalent function to the Stata command: Use v1 v3 v5 v2 v7 using file.dat In R? (i.e. something that just selectively loads certain variables from a file and not others)? Thanks Jon Minton [[alternative HTML version deleted]]

This is probably very simple but my brain has frozen over. (I'm trying to warm it with coffee) I have observations of around 22000 individuals over 13 successive years: they were either 'interviewed' at time t or 'not interviewed'. What's the most appropriate function/approach to use to find out the extent to which individuals' event outcomes are temporally

Hi, I have a set of dataframes names AINDSLIM, BINDSLIM, CINDSLIM ... NINDSLIM In each dataframe I want to extract two variables, “pid” and “{w}region”, where {w} means “a”, “b”, “c”, ...”n” At the moment my code looks like: > PidRegion <- data.frame(pid=XWAVEID$pid) > this.region <- AINDSLIM[,c("pid", "aregion")] > PidRegion <- merge(PidRegion,

Hi, I'm new to R so this might be a little basic for enlightened people like yourselves... I have quarterly British Labour Force Survey (Local Area) data from 1992 to present in .tab format* in folders running from 01 (for the first time period) to 56 (for the most recent). i.e. my directory structure is: .../t/ 01 ... 56

Dear R Users, Do you know of an existing function that allows the production of sensitivity and specificity forest plots? See the following for an example:

Hi, in the code below, I am drawing 1000 samples from two beta distributions, each time using the same random number seed. Using set.seed(80) produces results I expect, in that the differences between the distributions are very small. Using set.seed(20) produces results I can't make sense of. Around half of the time, it behaves as with set.seed(80), but around half of the time, it behaves

Each register is a 4-component (namely, r, g, b, a) vector register. They are actually defined as llvm packed [4xfloat]. The instruction: add_sat r0.a, r1_bias.xxyy, r3_x2.zzzz Explaination: '.a' is a writemask. only the specified component will be update '.xxyy' and '.zzzz' are swizzle masks, specify the component permutation, simliar to the Intel SSE permutation

Actually the problems that Tzu-Chien Chiu are encountering are similar to what should be done for generating SSE code in the X86 backend and also other SIMD instruction sets. I think LLVM neeeds to add instructions for permuting components, extracting and injecting elements in packed types. If the architecture has instructions which can do permutations for each instruction (for example

What am I doing wrong? (please cc me when replying) yy <- 1:10 xx <- yy*2 xYplot(yy~xx,ylab="") #this plots as it should text(.4,5,expression(paste(log, frac(p(b),p(a)) ))) Error in text.default(0.4, 13, expression(paste(log, frac(p(b), p (a))))) : plot.new has not been called yet This is the case even when I write: xxyy <- xYplot(yy~xx,ylab="") xxyy <-

Within an user function, how are the warnings from an R function be trapped (such that some proper actions can be taken)? 'last.warning' is returned only at the top level. Pointers are appreciated. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear R users, Inspired by previous list discussion of the glob2rxc function, I am attempting to create a new vector called TOTAL by summing all vectors whose names begin with ABC: TOTAL = sum(list = ls(pattern = glob2rx("ABC*"))) I'm running R 2.2.1 on Windows XP. Can anyone say what I'm missing? Thank you, Mark

Hi All, I have a data set wit three size classes (pico, nano and micro) and 12 different sites (Seamounts). I want to produce a table with the mean and standard deviation values for each site. Seamount Pico Nano Micro Total_Ch 1 Off_Mount 1 0.0691 0.24200 0.00100 0.31210 2 Off_Mount 1 0.0938 0.00521 0.02060 0.11961 3 Off_Mount 1 0.1130 0.20000 0.06620 0.37920 4 Off_Mount 1

Hello, I have a dataframe containing the following variables: PID, Field, Value Where PID refers to a unique individual, Field to a particular question, and Value to a particular response to a question. I?d like this in wide format, with a different row for each PID. However.... there are differing numbers of Values associated with each Field, for each PID. For example, a Field question may

Folks: I am getting a build failure when I: #' @importFrom utils shortPathName which roxygenizes it to the NAMESPACE. I suspect this is because this particular function is Windows-only, but I'm a bit confused how I should "properly" importFrom a function like this so it doesn't cause a build failure, but I don't get a note in my R CMD CHECK if I DON'T have it:

I have a fairly large data set with six variables set up like the following dummy: # Create fake data df <- data.frame(code = c(rep(1001, 8), rep(1002, 8)), year = rep(c(rep(2011, 4), rep(2012, 4)), 2), fund = rep(c("10E", "10E", "10E", "27E"), 4), func = rep(c("110000",

Well, instead of your functions try: Mode <- function(x) { tabx <- table(x) tabx[which.max(tabx)] } and use R's IQR function instead of yours. ... so I still don't get why you want to return a character string instead of a value for the IQR; and the mode of a sample defined as above is generally a bad estimator of the mode of the distribution. To say more than that would

Dear R-Users, I have two questions: a) in a directory there are 3 files: [1] "Data.~csv" "Kopie von Data.~csv" "VorlageTradefile.csv" The command "dir( fold, pattern = "\.csv" )" gives back *all* the 3 files With dir( fold, pattern = "\\.csv" ) I get back only VorlageTradefile.csv. I don't understand this behaviour,