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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

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 <-

Hi, apologies if this is too simple but I've been stuck on the following for a while: I have a vector of strings: filenames with a name before the extension and a variety of possible extensions I want to select only those files with: 1) a ".tab" extension AND 2) the character sequence "lad" anywhere in the name of the file before the extension. Surely this

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: 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]]

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: 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]]