similar to: about data export

Hi, This is Meghana Kulkarni. I have a problem regarding the data I am working with. I have a data frame as follows: > x V1 V2 V3............V10 414 A 416 A 417 A 417 B 418 A 421 A 421 B 421 C 422 A I want to conver this data frame in the following format. > x V1 V2 V3............V10 414 A 416

Hi everyone, I'm sorry if this turns out to be more a statistical question than one specifically about R - but would greatly appreciate your advice anyway. I've been using a logistic regression model to look at the relationship between a binary outcome (say, the odds of picking n white balls from a bag containing m balls in total) and a variety of other binary parameters:

Hi, I have newbie question. Suppose I have the following data: temp <- data.frame(type1 = c("male", "female", "male", "female", "female"), type2 = c("low", "med", "high", "low", "med"), a = c(1,2,4, NA, 3), b = .... [TRUNCATED] temp type1 type2 a b c 1 male low 1 5 0 2 female

Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1 .50 .25 .25 4 .55 .25 .20 5 .65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these

Hi All, I'm working on a back end for an architecture that makes use of multi- typed register classes. def MR: RegisterClass<"namespace", [type1, type2, ... ], ... > When running some preliminary tests I found that the instruction selector refused to select certain ops (specifically stores) for some instructions when the operand type wasn't the first type for the

Hello all, I have generated a principal components regression model using the pcr() function from the PLS package (R version 2.12.0). I am getting a "non-conformable arguments" error when I try to use the predict() function on new data, but only when I try to read in the new data from a separate file. More specifically, when my data looks like this #########training data

Hello, I have a ggplot that has the looks of the plot that I want, but it doesn't have the right layout. The data is an ordered melted dataframe: - ID - type (to use for a faced grid) - time - type - time - value (POSIXct) - pos (to use for a faced grid, this is an index to split the plot) The goal of the plot is to create a time line for each ID (different points of time). The ID's

Suppose I create an R program called myTest.R with only one line like the following: type <- as.integer(readline("input type (1: type1; 2: type2)? ")) Then I'd like to run myTest.R in batch mode by constructing an input file called answers.R with the following: source("myTest.R") 1 When I ran the following at the terminal: R CMD BATCH answer.R output.Rout it failed

rsync -e 'ssh -x' --log-format="%o /%n %b" -tLr --delete --files-from=files-to-sync --exclude-from=files-to-exclude user@host:/ /temp/ del. /etc/mail/spamfilter/mx1/whitelist.conf 0 del. /etc/mail/spamfilter/mx1/blacklist.conf 0 recv /etc/mail/spamfilter/mx1/ 0 recv /etc/mail/spamfilter/mx1/blacklist.conf 211 recv /etc/mail/spamfilter/mx1/whitelist.conf 924 Why does rsync

On Feb 12, 2007, at 1:41 AM, Christopher Lamb wrote: > > selector refused to select certain ops (specifically stores) for some > instructions when the operand type wasn't the first type for the > register class. After some digging around I seem to have solved the > problem by creating bitconvert patterns between the types in the > register class like the following: > >

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'm looking for a way to plot different data series on one graph. I have a series of hourly rainfall and quarterly flow measurements (i.e. 4 times an hour) of a catchment. The rainfall should be plotted in bars, the flow as a line. Both on the same X axe (time) but with different Y axes. The problem is the plot() function does not support add=TRUE... Furthermore I'm not sure

Hi all, I'm trying to do multiple graphs in a window like this: ___ ___ ___ ylab |__| |__| |__| ___ ___ ___ ylab |__| |__| |__| ___ ___ ___ ylab |__| |__| |__| xl xl xl If I try to put the labels manually, some graphs become smaller than other and the output is really ugly. In the thread title I put the word

Hi: I need to plot two time series in the same plot and they cover the same time range and have the same frequency. With RSiteSearch("multiple series plot") i found this post by Gabor Grothendieck: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/42281.html Exactly what i need except for one detail. I want one series to be made of points and the other by a line. When I simply try: xts

Dear R-devel list members, I'd like to suggest a more flexible procedure for generating contrast names. I apologise for a relatively long message -- I want my proposal to be clear. I've never liked the current approach. For example, the names generated by contr.treatment paste factor to level names with no separation between the two; contr.sum simply numbers contrasts (I recall an

Hi Cluster Community, we are seeing some problems when adding multiple terrabytes of data to a 2 node replicated GlusterFS installation. The version is 3.8.11 on CentOS 7. The machines are connected via 10Gbit LAN and are running 24/7. The OS is virtualized on VMWare. After a restart of node-1 we see that the log files are growing to multiple Gigabytes a day. Also there seem to be problems

Hi, the subject isn't define well the problem, so i'll explain it in detail: i've got a csv.file with data on number of factors (every column got the name of the factor as header and the data below). on another csv file, i've got the factors sorted by their type. for example- c1=read.csv('C:/R/c1.csv', header= TRUE) urrDate A_XS b_XS c_XS

On Wed, Mar 13, 2013 at 11:37 AM, Arnold Schwaighofer <aschwaighofer at apple.com> wrote: > > On Mar 13, 2013, at 1:07 PM, Shuxin Yang <shuxin.llvm at gmail.com> wrote: > >>> >>> The program I gave was well typed :) >> >> Hi, Daniel: >> Thank you for sharing your insight. I didn't realized it is well-typed -- I'm basically a big

depends on "autoconf: regenerate configure scripts with 4.4 version" This series removes some of the really old deadwood from the tools build and makes some other things which are on their way out configurable at build time with a default depending on how far down the slope I judge them to be. * nuke in tree copy of libaio * nuke obsolete tools: xsview, miniterm, lomount & sv *

On 3/13/13 1:21 PM, Daniel Berlin wrote: > On Wed, Mar 13, 2013 at 11:37 AM, Arnold Schwaighofer > <aschwaighofer at apple.com> wrote: >> On Mar 13, 2013, at 1:07 PM, Shuxin Yang <shuxin.llvm at gmail.com> wrote: >> >>>> The program I gave was well typed :) >>> Hi, Daniel: >>> Thank you for sharing your insight. I didn't realized