similar to: Reshape package: new version 0.5

Reshape version 0.8 http://had.co.nz/reshape 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 This version brings a few minor changes to make the output more attractive and less surprising.

Reshape version 0.8 http://had.co.nz/reshape 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 This version brings a few minor changes to make the output more attractive and less surprising.

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

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

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

Hi, I used to use reshape and moved to reshape2 (R 2.15.1). Now I tried some of my older scripts and was surprised that my cast function wasn't working like before. What I did/want to do: 1) Melt a dataframe based on a vector specifying column names as measure.vars. Thats working so far: dfm <- melt(df, measure.vars=n, variable_name = "species", na.rm = FALSE) 2) Recast the

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

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 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

Dear useRs We have a data-set (comma delimited) with 12Millions of rows, and 5 columns (in fact many more, but we need only 4 of them): id, factor 'a' (5 levels), factor 'b' (15 levels), date-stamp, numeric measurement. We run R on suse-linux 9.1 with 2GB RAM, (and a 3.5GB swap file). on average we have 30 obs. per id. We want to aggregate (eg. sum of the measuresments under

Hello, I have some code that currently works fine and I am endeavoring to convert the major pieces of it into functions. This involves taking "hard coded" names of variables that are used in various places and figuring out how to abstract them out into functions where the arguments (i.e. a list of variables)?can be passed to the parent function and used within that function for various

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 <-

Dear Help-Rs,   I have data similar to the following:   DF <- structure(list(X = 1:22, RESULT = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("NEG", "POS"), class = "factor"), YR_MO = c(201011L, 201012L, 201101L, 201102L, 201103L, 201104L, 201105L, 201106L, 201107L, 201108L, 201109L, 201011L,

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

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 =

> From: Randall R Schulz > > Sundar, > > On Friday 23 September 2005 06:48, Sundar Dorai-Raj wrote: > > Randall R Schulz wrote: > > > Hadley, > > > > > > ... > > > > > > Perhaps I'm dense, but I cannot find the software at the URL you > > > mention. There are links to a paper and a PDF slide presentation, > >