similar to: Reshape version 0.8

Reshape version 0.7.1 ===================== Reshape is an R package for flexibly restructuring and aggregating data. It's inspired by Excel's pivot tables, and it (hopefully) makes it very easy to get your data into the shape that you want. You can find out more at http://had.co.nz/reshape What's new in this version? * A 25 page introductory vignette, also available at

Reshape version 0.7.1 ===================== Reshape is an R package for flexibly restructuring and aggregating data. It's inspired by Excel's pivot tables, and it (hopefully) makes it very easy to get your data into the shape that you want. You can find out more at http://had.co.nz/reshape What's new in this version? * A 25 page introductory vignette, also available at

Reshape version 0.5 =================== Reshape is an R package for flexibly restructuring and aggregating data. It's very much pivot table inspired, and it (hopefully) makes it very easy to view your data the way you want. You can find out more at http://had.co.nz/reshape The big news in this version of reshape is that I've renamed all the functions so they no longer conflict with any

Reshape version 0.5 =================== Reshape is an R package for flexibly restructuring and aggregating data. It's very much pivot table inspired, and it (hopefully) makes it very easy to view your data the way you want. You can find out more at http://had.co.nz/reshape The big news in this version of reshape is that I've renamed all the functions so they no longer conflict with any

Reshape 0.7 =================== Reshape is an R package for flexibly restructuring and aggregating data. It is inspired by Excel's pivot tables, and it makes it very easy to view your data the way you want. The reshape package (along with ggplot) received the John Chambers Award for Statistical Computing. You can find out more at http://had.co.nz/reshape. Reshape (hopefully) makes it easy

Reshape 0.7 =================== Reshape is an R package for flexibly restructuring and aggregating data. It is inspired by Excel's pivot tables, and it makes it very easy to view your data the way you want. The reshape package (along with ggplot) received the John Chambers Award for Statistical Computing. You can find out more at http://had.co.nz/reshape. Reshape (hopefully) makes it easy

Reshape version 0.6 =================== Reshape is an R package for flexibly restructuring and aggregating data. It's inspired by Excel's pivot tables, and it (hopefully) makes it very easy to get your data into the shape that you want. You can find out more at http://had.co.nz/reshape What's new in this version? * a new function, stamp, which is kind of a cross between by and

Hi everyone, This is a short announcement for the users of ggplot and reshape. I have just released new versions of each that fix bugs when used with R 2.5.0: * reshape was having problems with missing combinations of variables * errorbars in ggplot weren't working. I've you've been having problems with either of these, please upgrade. About ggplot ===================== An

Hi everyone, This is a short announcement for the users of ggplot and reshape. I have just released new versions of each that fix bugs when used with R 2.5.0: * reshape was having problems with missing combinations of variables * errorbars in ggplot weren't working. I've you've been having problems with either of these, please upgrade. About ggplot ===================== An

Hi R-users, I have a data set like this (first ten rows): id patient_id date code class eala ID1564262 1562 6.4.2006 12:00 5555 1 NA ID1564262 1562 6.4.2006 12:00 5555 1 NA ID1564264 1365 14.2.2006 14:35 5555 1 50 ID1564265 1342 7.4.2006 14:30 2222 2 50 ID1564266 1648 7.4.200614:30 2222 2 50 ID1564267 1263 10.2.2006 15:45 2222 2 10 ID1564267 1263 10.2.200615:45 3333 3 10 ID1564269 5646

Hello, I would like to reshape a dataframe into an array. This is kind a similar task as Excel performs with a Pivot table. To illustrate it: LOC <- factor(c(1,2,2,3,1,1)) SPEC1 <- c(0,0,23,0,12,11) SPEC2 <- c(1,2,0,0,0,4) df <- data.frame(LOC,SPEC1,SPEC2) # original dataframe a <-

Hello everyone, I am new to R. I have data in the form of excel pivot table format and I want to cast it into a format which can make it compatible with computation. Since I already have the package in pivot format; I avoid melt function and use the cast directly. I inspect the dataread <- read.csv(".....", header=TRUE) Data in the format Id Region Country Industry

according to the documentation of the cast function in the reshape function, I would expect this bit of code from the examples to calculate marginal means over only the 'diet' variable. #Chick weight example names(ChickWeight) <- tolower(names(ChickWeight)) chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE) cast(chick_m, diet + chick ~ time, mean, margins="diet") But,

Dear Everyone, I am having problems with use of the reshape package's cast function using length as an aggregating function. Unexpectedly, I receive the error: 2 arguments passed to 'length' which requires 1 I don't understand this at all - the data I'm using is very simple, and appears almost identical to that used in the ChickWeight example in the package. The problem can

Hi all, I'm having a problem restructuring my data the way I'd like it. I have data that look like this: Candidate.ID Specialty Office Score 110002 C London 47 110002 C East 48 110003 RM West 45 110003 RM

Hi all, I think I'm cracking up. Please help me understand why I'm getting different results with m.test and m.test2 in the example below. > library(reshape) Loading required package: plyr > > m.test <- data.frame(id = factor(rep(1:10, 2)), variable=rep(c("var1","var2"),10), value=rnorm(20)) > cast(m.test, ...~variable, value="value") ## cast

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 =

Reshape2 is a reboot of the reshape package. It's been over five years since the first release of the package, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focussed and much much faster. This version improves speed at the cost of functionality,

Reshape2 is a reboot of the reshape package. It's been over five years since the first release of the package, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focussed and much much faster. This version improves speed at the cost of functionality,

I am trying to use the reshape package for the first time. I have two waves of a survey, so the id variables include a subject identification number and a variable denoting the wave of the survey. I used the following arguments: library(reshape) svy.melt <- melt(svy, id=c("id", "WAVE")) svy.wide <- cast(svy.melt, id ~ WAVE + ...) and got the following error: