similar to: Consecutive zeros in a vector

Dear all, Is there a quick and easy way of converting utf characters to the \uxxxx form (necessary e.g. for packages)? I mean something working like this: > utf2uxxxx("õäöü") [1] "\u00f5\u00e4\u00f6\u00fc" It is easy to program but perhaps someone already has implemented this. (I couldn't find anything useful from searches incl RSiteSearch). Thanks in advance, Kenn

Dear all, I've used RODBC a lot to read in files created in MS excel and access but found a strange problem today: a variable in my data file contained both numbers and text; sqlFetch would set text within a row of numbers to NA; but if first 5 or 6 rows would be text then all numbers would be read in as NA. con<-odbcConnectExcel("xample.xls") #the file is attached or at

Dear all, I am working with a list of objects each of which contains two POSIXct objects (say, $Start and $End) and a number of different data in addition to that. Now an easy way to extract Start times of all object could be sapply(x, "[", "Start") but this converts them all to numeric, and so does sapply(x, "[[", "Start"). lapply preserves the class but

There was a question in R forum very long time back.. on how to protect R Script files from inadvertent editing by users. There is a way to do this from within R, atleast in Windows XP I have tried this and it certainly works , The method is very different from the OS based folder protection route, however making available such a method in the open forum would only kill the very spirit of R.

Hi everyone, I have a large data set with about 3'000 columns and I would like to exclude all columns which include three or more consecutive zeros (see below example). A further issue is that it should just jump NA values if any. How can I do this? In the below example R should exclude column C and D (since in D jumping the NA leaves three consecutive zeros). I would appreciate

Dear all, I sometimes use the following function: Curry <- function(FUN,...) { # by Byron Ellis, https://stat.ethz.ch/pipermail/r-devel/2007-November/047318.html .orig <- list(...) function(...) do.call(FUN,c(.orig,list(...))) } ... and have thought it might be convenient to have a method for [ doing this. As a simple example, > apply(M, 1, mean[trim=0.1]) # hypothetical

Hallo! Is there a package in R that does Q-type factor analysis? I know how to do principal component analysis, but haven't found any application of Q-type factor analysis. Thx, Julia -- Psssst! Schon vom neuen GMX MultiMessenger geh?rt? Der kanns mit allen: http://www.gmx.net/de/go/multimessenger

Hi all, I have a nx1 logical array of zeros and ones and I want to calculate the individual lengths of all 1-consecutive sequences contained in it. Is there an easy quick way to do this in R? So, if I have a vector such as 111001101000011111110 I would like to get (1) 3, (2) 2, (3) 1, (4) 7 Any help would be appreciated! thanks! Jorge [[alternative HTML version deleted]]

Hi all, Does anyone have a comprehensive list of recursive-type objects in R? is.recursive defines them as by exclusion: "most types of objects are regarded as recursive, except for vector types, ?NULL? and symbols (as given by ?as.name?)." I think this that means recursive objects are: * lists * pairlists * calls * expressions Did I miss anything? Hadley -- Assistant

Dear R-users, Is there a way I can prevent global variables to be visible within my functions? Sebastien

I need to determine the length of the longest series of consecutive numbers (1's to be specific) and the start time of that series. For example, in the following sample, the first column is "time" and the second column indicates the presence of the target behavior. I would like a function that would return "21" as the start time and "17" as the length. sample

Dear R List, I have a dataset with the following structure: """personal_id, p_0, p_1, p_2, .... , p_36, p_37 1, NA, 1, 4, .... , 1, NA 2, NA, NA, NA, .... , 4, NA . . . 6020, NA, 3, 3, ...., NA, NA 6021, NA, 2, 2, ...., 4, NA """ I used some made-up data. It is just meant to show the structure of the dataset. The variables of interest are p_0, ... p_37.

Hello all I would like to ask your help use mapply. I have a function called findCell that takes two arguments(x,sr) where x is a vector of size two (e.g x<-c(2,3) and sr is a matrix. I would like to call many times the findCell function (thus I need mapply) for different x inputs but always for the same sr. as x is a vector of size two (two cells) I want to pass inside inside the following

Hi all R helpers, I'm trying to comeup with nice and elegant way of "detecting" consecutive increases/decreases in the sequence of numbers. I'm trying with combination of which() and diff() functions but unsuccesifuly. For example: sq <- c(1, 2, 3, 4, 4, 4, 5, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1); I'd like to find way to calculate a) maximum consecutive increase = 3 (from 1

Hi everyone Do you know about any possibility in R to check for consecutive numbers in vectors? That is, I do not only want to count the number of observations in total (which can be done table(x)), but I also want to count for instance how many times that vector contains a certain number consecutively. For example in the following vector x the number "1" appears 7 times.

Friends. I cannot simplify this much, and I think the loop is unavoidable. As a recovering C programmer I want to avoid loops and in cases like this I almost allways can by using an apply function. But I suspect in this case there is nothing I can do. It is a finance example where a price series is compared to a moving average. If the price goes above the average, plus a bit, buy the

I am trying to set up a function which processes my data according to the following rules: 1. if (x[i]==0) NA 2. if (x[i]>0) log(x[i]/(number of consecutive zeros immediately preceding it +1)) The data this will apply to include a variety of whole numbers not limited to 1 & 0, a number of which may appear consecutively and not separated by zeros. Below is an example with a detailed

Dear r-devel list members, On a couple of occasions I've encountered the issue illustrated by the following examples: --------- snip ----------- > mod.1 <- lm(Employed ~ GNP.deflator + GNP + Unemployed + + Armed.Forces + Population + Year, data=longley) > mod.2 <- update(mod.1, . ~ . - Year + Year) > all.equal(mod.1, mod.2) [1] TRUE > > f <-

Dear R-user, a few weeks ago I consulted the list-serve with a similar question. However, my task changed a little but sufficiently to get lost again. So I would appreciate any help on the following issue. I use the plm package and work with firm-level data in a panel. I would like to eliminate all firms that do not fulfill the requirement of having an observation in every variable used for at

Dear all, I have  a data series (might be vector or matrix) which is composed only from zeros and ones like the following example 0 0 0 1 1 0 1 0 0 1 1 1 1 0 0 0 I want to be able to return back the length of concecutive zeros and the length of concecutive ones. For that I want to have something like that returned: zeros= [3 1 2 3]; ones=[2 1 4]; How I can do that simply in R? I would like