search for: recodings

Hi all I am trying to do a simple recode which I am stumbling on. I figure there must be any easy way but haven't come across it. Given data of A","B","C","D","E","A" it would be nice to recode this into say three categories ie A and B becomes "Treat1", C becomes "Treat 2" and E becomes "Treat 3". I tried

Hello: Forgive me, this is surely a simple question but I can't figure it out, having consulted the help archives and "Data Manipulation With R" (Spector). I have a list of 11 data frames with one common variable in each (prov). I'd like to use lapply to go through and recode one particular level of that common variable. I can get the recode to work, but it only returns the

Thanks to the R creators for such a great statistical system. Thanks to the R help list, I have (finally) gotten far enough in R to have a question I hope to be worth posting. I'm using the recode function from John Fox's car package and have encountered some unexpected behavior. Consider the following example: ## Begin cut-and-paste example require( car ) set.seed(12345) nn <-

Hello, I am using the recode() function in Rcmdr and the result is not what I expect so I am almost sure I did something wrong but what... > test <- data.frame(x=1:10) > library(car) > recode(test$x,'1:5=0 ; else=1', as.factor.result=TRUE) [1] 0 0 0 0 0 1 1 1 1 1 Levels: 0 1 BUT > library(Rcmdr) # recode from the car package is now masked Now I recode test$x

Hi folks, I have five imputed data sets and would like to apply the same recoding routines to each. I could do this sort of thing pretty easily in Stata using MIM, but I've decided to go cold turkey on other stats packages as a incentive for learning more about R. Most of the recoding is for nominal variables, like race, religion, urbanicity, and the like. So, for example, to recode race

Dear list, I'd like to update certain rows/columns in a data frame with new values. The application is that survey respondents may give an answer of "Other" to a categorical question and then provide some text describing what they mean. This text is then reviewed and placed into a category. These edits or recodes then need to be merged back into the main dataset. A small example

Hi, I have numerical variable that I want to recode into categories '0' and '1 and more' and do analysis with that data. I have tried various of possibilities to do so, but I am sucked and nothing is working. recode(Q12, "0='A';1:30='B'") cut(Q12, breaks=c(0,1,30), lables=c('0', '1 and more')) cat(Q12, "0=0;1-33=1") What should

Hi to all, I am having a problem when using recode from the car package. I have a variable that is char and when I use recode to create a new variable that is supposed to be numeric I get a factor variable. Here is the code I am using: > FCI$PRE1 <- recode (PRE1RES, " c('C', 'c')=1 ; else = 0 ; as.factor.result=FALSE ") So, if I understand correctly the recode

Dear all, it seems to be that 'recode' can't handle any line breaks in its code. The following command causes no problem: datameta$smpid.r <- recode(datameta$smpid,"c(101,25,167,45,75)=25;c(104,51)=51") But if I type ... datameta$smpid.r <-recode(datameta$smpid, "c(101,25,167,45,75)=25; c(104,51)=51") ... the result is a syntax error.

Dear colleagues, in the help archive there was a previous person who encountered a problem with the "recode" command in the car library. I'm not sure if that was solved, there was no posting to that effect, but I'm having the same problem. I'm trying to recode a numeric variable with values from 0-100 into a binary variable with values (0,1). The following command:

Dear R Users: I have race-ethnicity groups identified in the factor variable Ethnic_G. I need to collapse Ethnic_G into a new variable with only two factors, 1 (White, non-Hispanic) and 2 (Minority). As seen in the code and output below, the recoded race-ethnicity variable is put into logical format, not factor format. I've used library(car) and the package was updated. Any ideas on

Dear R-List, I would like to recode categorial variables into binary data, so that all values above median are coded 1 and all values below 0, separating each var into two equally large groups (e.g. good performers = 0 vs. bad performers =1). I have not succeeded so far in finding a nice solution to do that in R. I thought there might be a better way than ordering each column and recoding the

Dear R-List, I would like to recode categorial variables into binary data, so that all values above median are coded 1 and all values below 0, separating each var into two equally large groups (e.g. good performers = 0 vs. bad performers =1). I have not succeeded so far in finding a nice solution to do that in R. I thought there might be a better way than ordering each column and recoding the

Hi! Using recode in cars package, I tryed to use the following: recode(data$nrcomp, "lo:5='0 to 5'; 5:hi='bigger than 5'") I got: Erro em parse(text = strsplit(term, "=")[[1]][2]) : unexpected end of input in "'0 to 5" When I try only numbers, or only text, it's ok, but when I try to combine numbers and text, I got a error... Any help?

Dear R-users, i try to recode a factor according to old levels F <- factor(sample(c(rep("A", 4), rep("B",2), rep("C",5)))) recode(F, "levels(F)[c(1,3)]='X'; else='Y'") i tried to work with eval or expression around levels(F)[c(1,3)], but nothing seems to work. Many thanks if anyone could tell me what i've missed and what's

I know this comes up, but I didn't see my exact issue in the archives. I have variables in a dataframe that need to be recoded. Here is what I'm dealing with I have a factor called aa > class(aa) [1] "factor" > table(aa) aa * 0 1 2 3 A B C D L N T 0 0 1908 725 2089 0 0 67 0 0 2 1 6 I need to recode

Dear Rusers, My question is about "recode variables". First, i'd like to say something about the idea of recoding: My dataset have three variables:type,soiltem and airtem,which means grass type, soil temperature and air temperature. As we all known, the change of air temperature is greater than soil temperature,so the values in those two different temperaturemay represent different

I am just beginning to use Sweave with Lyx on a Mac (R2.8.1). I have 12 chunks of Sweave code that work fine, but this piece: <<>>= library(car)

Dear people, Yesterday I looked at the recode command in the memisc package and ran the following example stated in the manual: x <- as.item(sample(1:6,20,replace=TRUE), labels=c( a=1, b=2, c=3, d=4, e=5, f=6)) print(x) f <- as.factor(x) f recode(f,

Dear colleagues, I'm using R64 (2.13) on Mac OS 10.6.8 and I've encountered a problem with the recode function in Rcommander. The application cannot deal with apostrpohes ( ' ) do not. I've got a factor from the 2008 Canada Election study (highest level of schooling) and some of the values include "Bachelor's Degree" , "Master's Degree". I've