similar to: Problem using reshape with missing values in idvar

Hello, I have a problem with data reshaping. Here's my data DF <- structure(list(idvar1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("patient1", "patient2" ), class = "factor"), idvar2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("dob", "hog"), class =

If I try to reshape a data frame into a long format with more than one column it seems to mix up the column headings (or the columns, depending on how you look at it). For example: > d <- data.frame(row=1:2,b.1=c("1b1","2b1"),b.2=c("1b2","2b2"),a.1=c("1a1","2a1"),a.2=c("1a2","2a2")) > d row b.1 b.2 a.1 a.2 1

I had occasion recently to read in a one-line *.csv file that looked like: "CandidateName","NSN","Ethnicity","dob","gender" "Smith, Mary Jane",111222333,"E","2/25/1989","F" That "F" (for female) in the last field got transformed to FALSE. Apparently read.csv (and hence read.table) are inferring

I am a relative R newbie and I am having trouble with reshape() on R V1.9.1 on Linux. The same code appears to be ok when run on R V2.2.0 on Windows and a V2.1 on Linux. Any help would be great as I need to stay on V1.9 for the immediate future... Thanks, Reid Hutchins df <- data.frame(state= rep(1:2, each=8), school=rep(1:2,each=4), class=rep(1:2,each=2),Values2Columns=rep(1:2,

When reshaping a dataframe in which there are unused factor levels in the id variable, I get the following error: Error in if (!all(really.constant)) warning(gettextf("some constant variables (%s) are really varying", : missing value where TRUE/FALSE needed For example, > df <- data.frame(i = factor(rep(1:5, each = 2)), t = factor(rep(1:2, 5)), x = rep(rbinom(5, 1,

Full_Name: Alexander L. Belikoff Version: 2.8.1 OS: Ubuntu 9.04 (x86_64) Submission from: (NULL) (67.244.71.200) I'm trying to reshape the following data frame: ID DATE1 DATE2 VALUE_TYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALUE_TYPE is a string and is a factor with only 2 values

Hello I am reshaping a data.frame bids --> reshaped as shown below. I thought this should be possible with a single invocation of reshape, but the only way I came up with is reshaping subsets for each keyword and then joining them together. Does anyone have an idea how to solve this in a more elegant way? Efficiency is a concern as the datasets are very large. Is there a way to specify

Hi, It's probably a simple issue but I'm struggling with that. I'll use the example shown in the help page. head(Indometh) wide <- reshape(Indometh, v.names="conc", idvar="Subject", timevar="time", direction="wide") head(wide) reshape(wide, idvar="Subject", varying=list(2:12), v.names="conc",

Hello R users and developers, I have a general question about reshaping a wide data frame using the "reshape" command. I have a data frame consisting of 108 columns that I would like to convert to a long table and remove the metadata (embedded in the column names of the wide table) to new metadata columns in the long format. #example data frame. NOTE column names contain metadata::

Hello * I would like to reshape wide the following dataset: > rl <- read.dta("intermedi/rapporti_lavoro.dta") [c("id_rl","prog","sil_pi","sil_cf","sil_dat_avv")] > dim(rl) [1] 12964 5 > object.size(rl) 1194728 bytes > head(rl) id_rl prog sil_pi sil_cf sil_dat_avv 1 638 1 04567XXXXXX

Full_Name: Michale Na Li Version: 1.6.0 OS: i386-linux Submission from: (NULL) (140.142.172.141) In src/library/base/man/reshape.Rd, one paranthesis is missing, here is the patch. *** reshape.Rd.old 2002-10-15 23:32:25.000000000 -0700 --- reshape.Rd 2002-10-15 23:32:35.000000000 -0700 *************** *** 12,18 **** idvar = "id", ids = 1:NROW(data), times =

Thanks Don MacQueen for this reply to my initial query - please SEE MY REPLIES TO THESE IDEAS AND FURTHER INFORMATION BELOW >From: Don MacQueen [macq at llnl.gov] >Sent: 23 February 2010 21:25 >To: Jonathan Williams; r-help at r-project.org > >Subject: Re: [R] Problem with strptime generating missing values where none appear to exist > >What happens if you do all that NA

I have two data frames with a number of common variables that I wish to put into "long format". The first contains the variables es(Csales) [1] "terr" "Dec.02" "Jan.03" "Feb.03" "Mar.03" "Apr.03" "May.03" "Jun.03" [9] "Jul.03" "Aug.03" "Sep.03" "Oct.03"

Hi all: I solved the previous stated problem in something of a brute force way (but it works). I seem to now be running into one little hiccup using reshape. Here is a quick snip of the data in long format: grade stability year schid 6 Grade 4 3 2001 100005 7 Grade 4 3 2002 100005 8 Grade 4 2 2003 100005 10 Grade 5 2 2001 100005 11 Grade 5

I wonder if the 'sep' argument in reshape() is being ignored unintentionally: ## From example(reshape) df <- data.frame(id=rep(1:4,rep(2,4)), visit=I(rep(c("Before","After"),4)), x=rnorm(4), y=runif(4)) reshape(df, timevar="visit", idvar="id", direction="wide", sep = "_") id x.Before

Hello everyone, I have a bit of a problem with reshape function in R. I have simulated some normal data, which I have saved in 4 vectors. y.1,y.2,y.3,y.4 which I combined a dataset: dataset<cbind(y1,y2,y3,y4). I have also generated some subject id number, and denoted that by subject. So, my dataset looks like this: subject y.1 y.2 y.3 y.4 [1,] 1 20.302707

I know there are a lot of reshape questions on the mailing list, but I haven't been able to find an answer to this particular issue. I am trying to get a datafame structured like this: > sub <- rep(1:5) > ta1 <- rep(1,5) > ta2 <- rep(2,5) > tb1<- rep(3,5) > tb2 <- rep(4,5) > DF <- data.frame(sub,ta1,ta2,tb1,tb2) > DF sub ta1 ta2 tb1 tb2 1

Full_Name: Kevin Wright Version: 1.4 OS: Windows 95 Submission from: (NULL) (170.54.59.160) Note: This was the 1.4 build for Windows that Brian Ripley made available. The first example in the help for reshape doesn't work for me. When I cut and paste, this is what happens: > data(Indometh,package="nls") > summary(Indometh) Subject time conc

I'm in the middle of my own little intellectual exercise comparing dcast() and reshape() and have successfully stumped myself. I want to melt() a data frame, then dcast() it into a new form. After doing so, I want to duplicate the process using reshape(). So far, I can do the melt and cast require(reshape2) Raw <- data.frame(site = c(1, 1, 1, 1, 2, 2, 2, 2), id =

Dear R Helpers, I am having difficulty with strptime. I wish to find the differences between two vectors of times. I have apparently no difficulty to convert the vectors to the appropriate format using strptime. But, then difftime does not calculate all the differences. Here is the code and output:- dob=strptime(as.character(datx$BDT),'%d-%b-%y'); dob$year=dob$year-100