similar to: heatmap not symmetric ?

hi netters I have a rather simple question. I have a data frame with two variables X and Y, both of which are factors. X has 100 levels while Y has 10 levels only. The data frame has 100 rows in all, so for X the values are unique, and Y has many replicate values. Now I wanna reduce the data frame into 10 rows only, according to the 10 levels of Y. I don't care which value of X is in

Dear all, I wrote the following batch script on a iMac, and ran it on a linux mosix cluster. tu <- read.table("cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshape.table") tu_reshaped <- t(reshape(tu[1:50,], direction="wide", timevar="tu", idvar=c("rna","lib"))) write.table(tu_reshaped, "cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshaped.table")

Dear list, I realised by chance when analysing a 1521862 ? 8 matrix that plotting was much faster when using "." as the argument of `pch'. I was just wondering if there were other ways to get this speed improvement: it is otherwise quite difficult to explore such big matrices, especially given that X11 redraws the plot whenever its window is covered/uncovered by another window, or

I have read in Paul Murrell's book R Graphics about how to use a bitmap as background for a plot (page 107). Also, I routinely use function read.shape() in package maptools to read maps in shapefile format. Now, I would like to overlay an aerial photograph in .jpg format and a map. I think I could do the alignment manually for each case, but wonder if there is a better, automated way. I notice

Dear colleages in R, I have earlier been working with R in Linux, where reading in a table containing Scandinavian letters ("?", "?", and "?") in the header as part of variable names has not caused any problem whatsoever. However, when trying to do the same in R running on new MacOS-X (with an Intel processor) with the same original text table does not seem to

Hi all, I recently found out that R does not utilize fully the Duo Core capability when you only run one instance of R. I did some number crunching today and it seems that if I only open 1 R console, it uses 50% of my CPU (either 50-50 or 100-0 on 2 cores). Then, I open the second instance and divide the work into two parts, and run them parallelly, they seems to utilize 100% of my CPU. So, my

Hi Following public mirror for CentOS Linux is available. Please add our URL's to the Download/Mirrors pages of CentOS. ftp://ftp.riken.jp/Linux/caos http://ftp.riken.jp/Linux/caos rsync://ftp.riken.jp/caos WAN Connectivity : 1 Gbps (Tire 1) rsync update : four times per day to mirror.caosity.org::cAos city/state/Country : Wako/Saitama/Japan Best Regards, Takashi Ichihara (

Hi! I am using R version 2.7.0 and am working on a panel dataset read into R as a dataframe; I call it "ex". The variables in "ex" are: id year x id: a character string which identifies the unit year: identifies the time period x: the variable of interest (which might contain NAs). Here is an example: > id <- rep(c("A","B","C"),2) >

Hello everybody, by the way, speaking about the r-cran-rcurl package in Ubuntu, the versions in trusty and vivid are linked by error to the "NSS" flavour of libcurl3 instead of the "OpenSSL flavour", which cause at least problems when using the CRAN devtools package. A bit more details are available in the Debian bug tracking system (https://bugs.debian.org/786473). I am not

On 27 April 2017 at 23:41, Charles Plessy wrote: | Le Thu, Apr 27, 2017 at 07:24:18AM -0500, Dirk Eddelbuettel a ?crit : | > | > On 27 April 2017 at 13:58, Johannes Ranke wrote: | > | Am Donnerstag, 27. April 2017, 06:32:13 schrieb Dirk Eddelbuettel: | > | > On 27 April 2017 at 12:01, Johannes Ranke wrote: | > | | > | > This may be a use case for r-api-4. Or not as it

DeduceR es mas intuitivo que Rconander. Espero que te ayude! Xavier El 24 may. 2017 9:17, <miguel.angel.rodriguez.muinos en sergas.es> escribió: > Hola Eduardo. > > Creo que RCommander es un buen entorno gráfico para empezar con R (y en tu > escenario te resultará muy útil) > > Te recomiendo que uses el plugin EZR (Easy R) para ampliar la > funcionalidad de

Dear all, I am so ashamed to pollute the list with a trivial question, but it is a long time I have not used R, and I need a result in the next one or two hour... I have a table which I have loaded with read.table, and I want to make the mean of its columns. > slides <- read.table("slides.txt") > slides [1:5,] V1 V2 V3 V4 V5 V6 V7 V8 1

Hi SAITAMA Taro, I have been using speex-1.2beta1 dll in our voice application written with C#. In order to use Speex correctly firstly I advice to you examination speexenc and speexdec projects. I have used unsafe code and fixed statements in C#. I have added following method to library and I used that instead of speex_encoder_init simply. void *speex_encoder_init_new(int modeID) { const

Le Sat, Nov 18, 2017 at 03:26:53PM -0800, Bill Harris a ?crit : > Incidentally, you can see a bit more complete description at > https://unix.stackexchange.com/questions/402560/how-do-i-install-r-on-debian-stretch-given-the-r-api-3-issue > . Hi Bill and everybody, if one installs R >= 3.4.2 from any source, then some Debian packages will be broken. The change of r-api virtual

Hi Michael and Dirk, there are raising concerns that, as of today's computing power, an attacker can generate a GPG key that has the same short ID as a target key. In this situation, it may be possible that a user downloads and trusts the attacker's GPG key, and as a consequence installs malware. For that reason (better explained in http://lwn.net/Articles/697417/), it is recommended to

Ambas son buenas opciones, pero, en mi opinion, deducR aspira a ser mas un interfaz para quien ni sepa ni quiera programar, mientras que Rcmdr es mas, una forma sencilla de empezar... Un saludo, Xavier Tibau El 24 may. 2017 10:15, <miguel.angel.rodriguez.muinos en sergas.es> escribió: > Tienes razón, Xavier, DeduceR es sencillo e intuitivo. > > Mi experiencia (en el pasado) con

hi, when I used cbind to combine columns, some contents of columns has been replaced by number. in the script below, column should be aaa,bbb,ccc but I was given 1,2,3. but when I change the column to vector, it gave me correct contents. can you please tell me why?   > d<-read.table("aaa.txt") > d    V1  V2 1 aaa 123 2 bbb 345 3 ccc 986 > cbind(d[,1],d[,2])      [,1] [,2]

Buenas noches, tengo que hacer un curso introductorio de R para mis alumnos de Psicología. Algo muy básico que les ayude a trabajar con estadísticos sencillos. Había pensado en darles R Comander. Me surge la duda de si existe alguna otra interfaz gráfica más novedosa o que pueda serme de más utilidad para mis intereses. Muchas gracias de antemano. Un saludo [[alternative HTML version

Yo he tratado de instalar DEDUCER tanto en Windows como en una Mac, y no he podido. Aún siguiendo las instrucciones en el blog del autor, que involucra instalando una versión mas vieja de R. Parece haber problemas con Java y con el paquete Rjava. Saludos, Gerardo 2017-05-24 9:00 GMT-05:00 Manuel Spínola <mspinola10 en gmail.com>: > Hola, > > Otra alternativa es el paquete

On 27 April 2017 at 13:58, Johannes Ranke wrote: | Am Donnerstag, 27. April 2017, 06:32:13 schrieb Dirk Eddelbuettel: | > On 27 April 2017 at 12:01, Johannes Ranke wrote: | > | > so it seems to me this must affect all packages in Debian sid that were | > | > built before the release of R 3.4.0! | > | | > | or rather before 14 April 2017, which is when R from revision r72510