similar to: how to remove part of the string

May I ask a clinical question? For a trial, we have a treatment group of small size, say 30 patients. We want to selectmatching control patients from a bigger group (100 patients) in terms of several clinical variables, such as age, tumor stage etc. This practice is to select the closest matching set of control cases. I wonder if R has any routine or package that can help with this problem.

Hi all, I read in a column which looks like "chr1:000889594-000889638", and need to break them into three columns like "chr1:", "000889594" and "000889638". How shall I do in R. Thanks a lot for your suggestions! Bill

Dear all: I have a character object x with ' (single-quote) character. x <- c('"hydrolase activity","actin binding","3',5'-cyclic-nucleotide phosphodiesterase activity") I want to write a function that will identify ' and replaces with \' myf <- function(term){ if (grep("'",term)) {

Dear all, Does any one know if any R package or function can do Ordinary Least Products regression? Many thanks! Bill

Dear all, I have a problem. I have m variables each of which has n observations. I want to calculate pairwise correlation among the m variables and store the values in a m x m matrix. It is extremely slow to use nested 'for' loops if m and n are large. Is there any efficient alternative to do this? Many thanks for your suggestions!! Bill

Has anyone got a function for smooth monotonic interpolation of a univariate function? I'm after something like the NAG function PCHIM which does monotonic Hermite interpolation. Alternatively, montononic cubic spline interpolation. Please reply directly. Rob Hyndman ___________________________________________________ Rob J Hyndman Associate Professor & Director of Consulting

Hi R-help, I am trying to find a way to select five highest values in data frame according some variable. I will demonstrate: c X1 X2 1 1 1 2 1 2 3 1 3 4 1 4 5 1 5 6 1 6 7 1 7 8 1 8 9 1 9 10 1 10 11 2 11 12 2 12 13 2 13 14 2 14 15 2 15 16 2 16 17 2 17 18 2 18 19 2 19 20 2 20 21 2 21 22 2 22 23 2 23 24 2 24 25 2 25 So I

Hi all. I would like to highlight overlapping regions of two densities and I could not find a way to do it. Here is the sample code: myd <- c(2,4,5, 4,3,2,2,3,3,3,2,3,3,4,2,4,3,3,3,2,2.5, 2, 3,3, 2.3, 3, 3, 2, 3) myd1 <- myd-2 plot(range(density(myd)$x, density(myd1)$x), range(density(myd)$y, density(myd1)$y), type = "n") lines(density(myd), col=1, lwd=4)

Hi R users, I have following data frame df<-data.frame(q1=c(0,0,33.33,"check"),q2=c(0,33.33,"check",9.156), q3=c("check","check",25,100),q4=c(7.123,35,100,"check")) and i would like to replace every element that is less then 10 with . (dot) in order to obtain this: q1 q2 q3 q4 1 . . check . 2 . 33.33 check 35

Hi to all. I have a problem to connect to an Excel database using RODBC. Namely, I am using 64-bit R 2.14.0, under Windows 7 and I tried following: library(RODBC) > channel <- odbcConnectExcel("results.xlsx") Error in odbcConnectExcel("results.xlsx") : odbcConnectExcel is only usable with 32-bit Windows # ok this is clear why it doesn't work > channel

Hi everybody. I have list like this: l<-list(data.frame(q1=c(1,2,"check"),q2=c(3,"check",5)), data.frame(q1=c("check",1),q2=c(4,5))) names(l)<-c("A","B") rownames(l[[1]])<-c("aa","bb","cc") rownames(l[[2]])<-c("aa","bb") Every object has the same number of columns but different number

I have a categorical variable in a dataframe similar to the following... cat 1 1 3 2 4 I need to convert it to 4 dichotemous variables for each observations like... cat1 cat2 cat3 cat4 1 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 Thanks in advance! Shane

Hi R users. sorry for missing example and if question is to general but I am wondering if it is possible to execute subqueries in function sqlQuery (package RODBC) with opened connection with Excel or SQL server 2000. I couldn't find any example of this. And if it is possible what should be a correct syntax for this query: SELECT ct,COUNT(*) as n FROM (SELECT COUNT(*) AS ct FROM children

Hi R users. I have a problem with function strata in sampling packages. > st0 = strata(dom, stratanames="stratas", size=sample.size, method="systematic",pik, FALSE) Error in sort.list(y) : 'x' must be atomic for 'sort.list' Have you called 'sort' on a list? In previous version of R 2.9.1 and previous version of package sampling this code worked

Hi R users, could someone help me to find out which formulas, for standard error calculation, are used in following example: a=data.frame(weights=rep(c(10,1),c(4,1)),fpc=rep(41,5),uk=rep(1,5)) srs<-svydesign(id=~1, weights=~weights, data=a) srs1<-svydesign(id=~1, weights=~weights,fpc=~fpc, data=a) svytotal(~uk,srs) total SE uk 41 9 svytotal(~uk,srs1) total SE uk 41

Hi all. I tried to calculate sum of deviations from the weighted mean and i didn't get what i expected - 0. Here is an example: > wt <- c(10,25,38,22,5) > x <- 6:10 > wm <- weighted.mean(x,wt) > (x-wm)*wt [1] -18.70 -21.75 4.94 24.86 10.65 > sum((x-wm)*wt) [1] -1.24345e-14 With simple mean I got 0: > sum(x-mean(x)) [1] 0 Could someone explain me why we

Hi useRs. Does anybody know if there is some function that creates speedometer chart in R? Or if anybody has proposals where to start looking and which functions I can modify in order to create this kind of chart? Thanks for any help Andrija [[alternative HTML version deleted]]

Hello R user, I have following data frame: df=data.frame(id=c(1:10),strata=rep(c(1,2),c(5,5)),y=c( 10,12,10,NA,15,70,NA,NA,55,100),x=c(3,4,5,7,4,10,12,8,3,15)) and I would like to replace NA's with: instead of first NA tapply(na.exclude(df)$y,na.exclude(df)$strata,sum)[1]* *7 */tapply(na.exclude(df)$x,na.exclude(df)$strata,sum)[1] where 7 is the value of x (id=4) in strata 1 where y=NA

Hi all. I found one situation, on my OS - Windows 7, where R stops working with reported error R for Windows GUI front-end has stopped working. Here is the example: library(plyr) DF <- data.frame(x=c(1:3, NA, NA), y=factor(sample(1:3,5,rep=T),levels=1:5)) DF[DF$x<3, ] #this works properly ddply(DF, .(y), nrow, .drop=FALSE) #this causes the problem ddply(DF[DF$x<3, ], .(y), nrow,

Hi everyone, I have a zero vector of length N and I would like to randomly allocate the value 1 to one of the values of this vector. I presume I have to use the uniform distribution but could someone tell me how I should process? Thanks in advance, Boris -- View this message in context: http://r.789695.n4.nabble.com/generate-randomly-a-value-of-a-vector-tp3798190p3798190.html Sent from the R