similar to: Trouble installing plyr

Hi all, has anyone tried and possibly succeeded in installing "reshape" package on Debian Lenny? I have a permanent failure because i cannot find the "plyr" package. I tried 10 mirrors. I contacted Hadley Wickham and James Long who seemed to have been closed to do it but it didn't work (meaning so far I haven't the answer from them). So has anyone any ideas as how to

Hello, This is my first time trying to use plyr, and I'm getting nowhere. I have teacher ratings data (1:4), on 10 components, by external observers and internal observers, in schools in areas. I want to calculate the percentage of each rating given on each component, by each type of observer, within each school, within each area. The data look like this: unit area ext.obs rating comp 11

Dear All I'm having problem with some script which worked a few months ago (on a different computer that might well have had a different version of R installed, so perhaps it has to do with the old version of R?): library(reshape) Loading required package: plyr > tble.data <- melt.array(interp, varnames=c("tme","lon","lat")) > > allyrs.interp <-

Hi all, When running R interactively, I have the problem as following: > library(ggplot2) Loading required package: reshape Loading required package: plyr Attaching package: 'reshape' The following object(s) are masked from 'package:plyr': round_any Loading required package: grid Loading required package: proto > data(VADeaths) > pg <- ggplot(melt(VADeaths),

H all, I have relative abundance data from >100 sites. This is from acoustic monitoring and usually the data is for 2-3 nights but in some cases my be longer like months or years for each location.. The data output from my management data base is proved by species by night for each location so data frame would look like this below. What I need to do is sum the Survey_time by Spec_Code for

Hi All I want to import several .dat files every day of the week from the same folder. Let say, on day 1, I have about 100 files in the folder. By using this code, everything works perfectly (maybe there is a more efficient way to do it): filenames <-list.files(path="pathtofile", full.names=TRUE) library(plyr) import.list <- llply(filenames, read.table, header=TRUE,

Dear All, I wanted to install the reshape package which in turn requires the plyr. When I tried to install plyr it says it needs ERROR: this R is version 2.10.1, package 'plyr' requires R >= 2.11.0 My question is how do I upgrade my R ? I have Ubuntu 10.04.2 LTS. Many thanks for your help. [[alternative HTML version deleted]]

Hi, I have a question related to the newest version of ggplot2 (0.9.0). I just updated this morning and from CRAN it looks like the Mac version is the only one at 0.9.0 as of right now. http://cran.r-project.org/web/packages/ggplot2/index.html Anyway, I was in the midst of a project where I was trying to replicate "Back-to-back Bar Charts" in this blog post.

plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations

plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise transformations

(moved from R-help) I tried this on Ubuntu with R-2.14.1 built from source, and I do not get the segfault problem. (I don't at the moment have a debian binary R, or I would confirm whether I get the segfault problem.) My sessioninfo() is reporting additional information about namespace imports: > library(ggplot2) Loading required package: reshape Loading required package: plyr

# plyr plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise

# plyr plyr is a set of tools for a common set of problems: you need to __split__ up a big data structure into homogeneous pieces, __apply__ a function to each piece and then __combine__ all the results back together. For example, you might want to: * fit the same model each patient subsets of a data frame * quickly calculate summary statistics for each group * perform group-wise

I have a script running in the StatET Eclipse environment that executes the ggplot2 command qplot in a function: # Creates the plot createPlot <- function(){ print("Lets plot!") qplot(1:10, letters[1:10]) } When executing the qplot line directly, it works. When executing the script it does not open a window and it it does not plot. Is there something important I have forgotten? I

Given a data frame consisting of a pointID and 12 pairs of (lat, long) variables, with names latA, longA, latB, longB, ... latL, longL, I want to reshape it into a data frame with the structure point source lat long 1 A ... ... 1 B ... ... I've looked at reshape and plyr, but can't figure out how to do this. Details of my data frame are below

Hi! I updated to reshape2 yesterday and tried to make it work. Unfortunately, it mainly throws error messages at me (good thing it's reshape2 1.0 and not reshape 2.0). The most recent is: Error in match.fun(FUN) : object 'id' not found When I manually create an object 'id', it says: Error in get(as.character(FUN), mode = "function", envir = envir) : object

I have a bit of a quandy. I'm working with a data set for which I have sampled sites at a variety of dates. I want to use this data, and get a running average of the sampled values for the current and previous date. I originally thought something like ddply would be ideal for this, however, I cannot break up my data by date, and then apply a function that requires information

Issue with PLYR. Now using R 2.14 and this data and plyr command line worked with 2.13 I am also loading the same saved data that worked previously, but now some issue. > library(plyr) > UNESCO <- dget('C:/Carbon-GJ/BZE_ecosys.robj') > df2 <- ddply(df, "UNESCO", summarise, total_ha = sum(Ha)) *Error in if (empty(.data)) return(.data) : missing value where

I have the following array: 3 dimensional object, one dimension being year. Object is 3*3*3 library(plyr, reshape) a1<-rep(c(2007,2008,2009),9) a2<-c(rep("a",9),rep("b",9),rep("c",9)) a3<-c(rep(c(rep(1,3),rep(2,3),rep(3,3)),3)) a4 <- rnorm(27) A<-data.frame(cbind(comp=a2,val=a3, year=a1, a4)) A1<-melt(A, id=c("year", "comp",

It looks like there might be some kind of problem with the Plyr-1.4.1 packages pushed to CRAN? The web pages show 1.4.1 as the current version, but trying to fetch the source through the provided link gives a 404: http://lib.stat.cmu.edu/R/CRAN/web/packages/plyr/index.html $ wget http://lib.stat.cmu.edu/R/CRAN/src/contrib/plyr_1.4.1.tar.gz --2011-04-11 13:19:09--