similar to: Recoding numeric value

Dear R helpers, I have a data frame where missing values for numeric variables are coded as 999. I want to recode those as NAs. The following only partially succeeds because numeric variables are converted to character in the process: df <- data.frame(a=c(999,1,999,2), b=LETTERS[1:4]) is.na(df[2,1]) <- TRUE df a b 1 999 A 2 NA B 3 999 C 4 2 D is.numeric(df$a) [1] TRUE

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

VAR 980490 Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this? 1. Favor 5. Oppose 8. DK 9. NA; RF 0. Haven't thought much about this I am trying to

Hello, I have struggled, for longer than I care to admit, with this seemingly simple problem, but I cannot find a solution other than the use of long drawn out ifelse statements. I know there has to be a better way. Here is stripped down version of the situation: I start with: a <- c(1,0,1,0,0,0,0) b <- c(1,1,1,1,0,0,0) c <- c(1,1,0,1,0,0,0) rbind(a,b,c) [,1] [,2] [,3] [,4] [,5]

Hi, I am trying to recode the output from a matrix(here is a small snippet of it): HGlt10RawPerc2008[1:20] [1] -5 0 -1 -1 0 2 3 -5 -2 0 2 0 1 -2 3 0 4 1 4 2 Here is the code I am using to recode it: HGBlt10Points2008 = recode(HGlt10RawPerc

Dear All, I am trying to recode a variable using the functions provided by "memisc" package. Actually I am following the examples on page 9-10 of the vignette: -------------------------------------------------------------------------- d.fig <- within(d.fig,{ sev <- recode(sev, 1 -> 0.9, 2 -> 1.0, 3 -> 1.1, 4 ->

Dear R users The following question looks simple but I have spend alot of time to solve it. I would highly appeciate your help. I have following dataset from family dataset : Here we have individuals and their two parents and their marker scores (marker1, marker2,....and so on). 0 means that their parent information not available. Individual Parent1 Parent2 mark1 mark2 1 0 0

Hi, I'm new to R so please fogive if I write someting silly ... I need to recode a series of responses from a number of questionnaires. The data is read via ODBC from a database where all responses are coded as tables of the form (id, question, score). After dealing with recoding of missing values, I need to "invert" the scores of some questionnaire's item in the form x <-

I want to do some recoding of variables: code Age into groups and recode a factor into a smaller number of levels. There are a couple of options for recode functions, in the car package and in memisc, and I think in gmisc. Does anyone have any opinions on the the easiest, most reliable approach for these problems? David Scott _________________________________________________________________

# I'm new to R and am trying to get the hang of how it handles # dataframes & loops. If anyone can help me with some simple tasks, # I'd be much obliged. # First, i'd like to generate some random data in a dataframe # to efficiently illustrate what I'm up to. # let's say I have six variables as listed below (I really # have hundreds, but a few will illustrate the point). #

Hi! Given a vector (or a factor within a df),i.e. v1 <- c(1,1,1,2,3,4,1,10,3) and a dictionary cbind(c(1,2,3),c(1001,1002,1003)) is there a function (on the same line than recode() in car) to get v2 as c(1001,1001,1001,1002,1003,4,1001,10,1003) ? I'm using myself a function based on match() since long ago (I think that thanks to advice by Prof. B. Ripley), but would like to know if there

I am trying to recode a variable into another variable and while the package 'car' works well when it is only recoding A into B, I am not sure I can do the same with recoding (A or C) into B. If i can use recode please advise on how to. So i am using an if/else if conditions. My sample dataset is below along with the code and the warning and results i get. TIA Krishnan #****Code****

I'm having a bit of trouble recoding factors in a fields. I have a field which has the factors Singleton, Twin and Triplet. I want to recode the field to have only the factors Singleton and Multiple. Any advice? Cheers, Neil

Hi, I was hoping someone could help me. I am a graduate student new to using R, and I'm trying to figure out how to recode a continuous variable to make it into an ordinal variable with 3 categories. I literally have no idea how to proceed--could anyone possibly advise me? Please copy me on any responses, as I have just subscribed to the R-help email list but don't know whether the

I have a text file full of numbers (it's a edgelist for a graph) and I would like to recode the numbers as they are way too big to work with. So for instance the following: 676529098667 1000198767829 676529098667 100867672856227 676529098667 91098726278 676529098667 98928373 1092837363526 716172829 would become: 0 1 0 2 0 3 0 4 5 6 i.e. all 676529098667 would become

Dear R community, I have a question concerning recoding of a variable. I have a data set in which there is a variable devoted to the ISCO code describing the occupation of this certain individual (http://www.ilo.org/public/english/bureau/stat/isco/isco88/major.htm). Every type of occupation begins with a number and every number added to this number describes th occupation more detailed. Now my

I have a several character variables that I need to recode, but some of them have special characters like single quote or ( ). How tell R to ignore these special characters so I can rename them? Below is the error message I am getting. social$FamilySupport[social$FamilySupport=="Mr. XXXs' extended family live in the Nashville area where he and his wife reside."]<-"Highly

Hi All, I'm relatively new to R. I have a variable, "internet use," which ranges from "Almost everyday, "Several times a week," "Several times a month," "Seldom," "Never," and "Don't know." I want to recode this data into a new variable, say "use.internet," such that I have a dichotomous variable indicating

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 have 2 variables in my sample Data: Data$A and Data$B Variable Data$A can assume values: 1, 2, 3, and 4. Variable Data$B identifies my cases and can assume values: 1 and 2. I need to recode my variable Data$A into a new variable Data$new such that: People who are Data[Data$B %in% 1, ] are recoded like this: Value on Data$A Value on Data$new 1 +1 2