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I'm using the survey api. I am taking 1000 samples of size of 100 and replacing 20 of those values with missing values. Im trying to use sequential hot deck imputation, and thus I am trying to figure out how to replace missing values with the value before it. Other things I have to keep in mind is if there are two missing values side by side, how do I replace both those values with the value

So I have to use this table of min, max, and mean temps for certain years http://www.stat.berkeley.edu/classes/s133/data/january.tab. I am supposed to figure out which year had the hottest January and which had the coldest. But I dont know how to! Nick Manginelli [[alternative HTML version deleted]]

Dear List, I have a table i have read into R: Name Yes/No John 0 Frank 1 Ann 0 James 1 Alex 1 etc - 800 different times. What i want to do is shuffle yes/no and randomly re-assign them to the name. I have used sample() and permute(), however there is no way to do this 1000 times. Furthermore, i want to copy the data into a excel spreadsheet in the same order as the data was input so i can

Hi! I am a relatively new user of R and I use it to prepare my dissertation. I have come to some very usefull and specific libraries written for S-PLUS 4 and would like to use them in R. Is that possible? I just found out that one of these libraries has already been transfered to R, while 3 others have not. For the matter of beeing more exact I''m interested in the dealing with missing

ISSUE: Linux doesn't have any steenking SIGEMT signal, as referred to in lib/Support/Signals.cpp. ACTION: Wrap the use with a #ifdef SIGEMT / #endif. PATCH: Apply from llvm top-level directory with "patch -p0". -- Casey Carter Casey at Carter.net ccarter at uiuc.edu AIM: cartec69 -------------- next part -------------- An embedded and charset-unspecified text was scrubbed...

When I try to the code from library(survival) of library(ISwR), the following code survfit(Surv(days,status==1)) that could produce Kaplan-Meier estimates shows the following error "Error in survfit(Surv(days, status == 1)) : Survfit requires a formula or a coxph fit as the first argument" How it can be done in R.2.10 -- View this message in context:

Hi, I was hoping to use wine to run one of those stupid windows binaries that generate a floppy (at least IBM has a clue, and also offers the raw floppy image for dd-ing) In this case, the culprit is seagate's seatools: http://www.seagate.com/support/seatools/ I installed wine under debian unstable (Version: 0.0.20010824-1) and when I run the windows binary under wine, it runs but

Dear R users: Recently, I tried to write a program to calculate cross-validated predicted value. My sources are as follows. However, the R reported an error. Could you please check the sources? Thanks. set.seed(100) x<-rnorm(100) y<-sample(rep(0:1,50),replace=T) dat<-data.frame(x,y) library(rms) fito<-lrm(y~x) preo<-predict(fito) pre<-matrix(NA,nrow=100,ncol=200) for (i in

Hello, I am looking for a way to quickly split a data frame containing daily temperature readings into a series of individual data frames, one for each year, in order to save them as individual .csv files which will be named according to Year. I would prefer not to use a series of "subset" commands given that there are a differing number of years for the various location. The data

Hi I found on google that there is an implementation of hot-deck imputation in SAS: http://ideas.repec.org/c/boc/bocode/s366901.html Is there anything similar in R? Many Thanks Eleni Rapsomaniki

Hi all, I'm looking for a contributed package that can provide a detailed account of missing data patterns and perhaps also provide imputation procedures, such as mean imputation or hot deck imputation and the like. Is there anything out there? Thanks in advance, David -- =========================================================================== David Kaplan, Ph.D. Professor

Hi, consider the following two dataframes: x1=c("232","3454","3455","342","13") x2=c("1","1","1","0","0") data1=data.frame(x1,x2) y1=c("232","232","3454","3454","3455","342","13","13","13","13")

Dear R sages, I used the function rbind to combine a matrix (M) and a vector (Fert) to get a new matrix (A). This was fine. The issue is however, that the new matrix A has as its row names the name of the vector Fert, even though I set teh new vector A to have dimnames=NULL. See short code below fyi. *Fert<-c(0,1,5) * *M <- matrix(0, 2, 3) diag(M) <- c(0.3,0.5) * *A<-

After some futile searches, I decided to ask the list to see if any of the sages out there would have an answer: I have a function I wrote a few years ago in S, which calls glim numerous times. I'd like to port it to R, but glm works differently from glim, which takes as part of its input an X design matrix. I probably could write a function to convert glim to glm, but hope this

Dear all, I have got a question for generating repeats of a vector's elements. Please don't hesitate to email me back and say that it is very easy although I can't find a method to solve it. If I have a n-vector b, whose elements are b[1], b[2], ..., b[n], how can I generate such a vector b[1], b[1], b[2], b[1], b[2], b[3], b[1], b[2], b[3], b[4], ......, b[1], b[2], ...,

Hallo list, I am running a samba server on Arch Linux. From time to time I get this error message in the system log (journalctrl, log from systemd). I have read the Trouble-Shooting section of the Samba HOWTO as pointed out in the error, but I could not find anything related. Can s.o. please tell me how to approach this error, or even tell me that the reason could be. Any help is really

I have table "decks" with three fields: "id", "created_at" and "cards" which is a 264-character string field. I have modified the model with a constructor, as follows: class Deck < ActiveRecord::Base attr_reader :cards def initialize @cards = "12345" end end If I call Deck.new from my controller, I get no errors and an object with the

Dear R-help, I first thought that the empty set (for a vector) would be NULL. x <- c() x However, the documentation seems to make clear that there _many_ empty sets depending on the vector's mode, namely, numeric(0), character(0), logical(0), etc. This is borne out by y <- letters[1:3] z <- letters[4:6] intersect(y,z) which, of course, is non-NULL: is.null(character(0)) #

On 28 November 2016 at 01:43, Paul Walker <Paul.Walker at arm.com> wrote: > Reconsidering the above loops with this type system leads to IR like: > > (1) <n x 4 x i32> += zext <n x 4 x i8> as <n x 4 x i32> ; bigger_type=i32, smaller_type=i8 > (2) <n x 16 x i8> += <n x 16 x i8> Hi Paul, I'm with Mehdi on this... these examples

Hi All, I have been reading about general purpose GPU (graphical processing units) computing for computational statistics. I know very little about this, but I read that GPUs currently cannot handle double-precision floating points and also that they are not necessarily IEEE compliant. However, I am not sure what the practical impact of this limitation is likely to be on computational