similar to: Base package R Macintosh port

Hi R helpers, I was wondering if anybody knows if is possible to generate bootstrap values for a cluster analysis in R. What I am trying to do is obtain some confidence on the clusters formed by resampling the data set. A similar type of analysis is used in molecular taxonomy and the confidence values of each cluster are placed in the nodes of the dendogram. Any ideas on how to do this

Dear R-helpers, I will like to know if there is a way to generate a stacked column graph using both patterns and colors to fill the bars. I have many categories for the number of color available in R, so I will like R to start with solid colors and then use patterns an colors. I have been using barplot and some code that I found in the archives, but I am still having bars with the

With the same system configuration (WinNT4 SP6 and 1.7.0), I get such a Dr Watson crash each time I try to use the Change dir... command in the File menu of Rgui.exe. I doesn't seems to happen if I do this immediately after starting R but well if I already did some computation. I don't have any problem by using directly setwd(). At 12:10 23/04/03, you wrote: >Date: Tue, 22 Apr 2003

Our lab just picked up a G4 Powerbook (1 GHz, 1GB RAM, OS X 10.2.6). None of us have any experience with Macs but for various reasons we need to have one around for development. In any case, we've installed fink, all the Apple Developer Tools and the Dec2002updater to gcc 3.3. We're now trying to compile R 1.7.1 without too much success. First we had to get g77, which turned out to

R gurus I have tried to install the R 2.0.1 binary for OS X and although the installation was successful I can get the application going. When I double click the icon R tries to load (R window shows briefly) and it quits immediately. This behavior was described in this list before and nobody found the answer to the problem. If you try to load the x11 version by typing "R" at

Dear all, I am trying to generate bootstrap replicate matrixes (rows=samples, column=species, sampling with replacement) from a matrix dataset, but I do not know how to do it in R. I have tried boot() and bootstrap(), but they require an statistic, which in my case is cluster analysis (generating bootstrap values for a cluster analysis is a topic that has been mentioned previously in

Estimados por solicitar su ayuda, estoy intentando cambiar el color de una etiqueta de un gráfico, he realizado múltiples intentos sin un resultado satisfactorio. Debido a que necesito realizar múltiples gráficos he realizado una función que dando parámetros de entrada me grafique las variables o los valores que deseo. Mi problema es en la representación de los colores. Los parámetros de la

I'm working with samba 1.9.18p10-7, on a i586 with debian linux v2.1. I'm trying to personalize windows95/98 on a multiuser/shared PC instalation and I want to include a Historial folder somewhere in the home directory of every user on a centralized server. This way any user could log on from any PC (in a classroom for example) an may have their own configuration for the Internet

Dear R helpers, I have been using the loadings function from the multiv library and I get the typical output (see below). When I try to export these results to a file using a write.table() I get the following error message "Error in as.data.frame.default(x[[i]], optional = TRUE) : can't coerce loadings into a data.frame" Any idea why write.table is doing that and any

HI!! I''m use CBQ script for retrict bandwidth, but i need to priorize some traffic, ¿how i do it? In my case, i need that all trafic from 192.168.0.100/29 (marked with iptables) have higher priority. Thanks --

Hi, Using Vegan package I was wondering if there's a way to use a distance matrix as an input for adonis (or any of the other similar hypothesis testing functions) instead of the usual species by sample table. Working in the field of microbial ecology, what I'm trying to do is to overcome the problem of having to use discrete units such as species or OTUs, which are problematic in

I''m having trouble actually seeing a PCI device in my VMs. I''ve resolved several of my issues using previous posts and using the VTdHowTo wiki page. I have both VT and VTd BIOS options enabled. I have pciback hiding the devices and xm can list and assign the devices to VMs. I don''t see the PCI devices in my VMs though. I have tried a windows and a Linux vm, without

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

Greetings, I'm trying to find a function to generate a random landscape consisting of x by y cells, allows a specification of number of classes and their proportional abundance in the landscape. Does R support such a function ? Thanks in advance Steve Steve Friedman, Assistant Professor Center for Global Change and Earth Observations Michigan State University East Lansing, Michigan

Hi All. I need a bit of help extracting the residual error variance from the VarCorr structure from lmer. #Here's a 2-way random effects model lmer.1 <- lmer(rating ~ (1|person)+(1|rater), data = dat) #Get the structure vc.fit <- VarCorr(lmer.1) #results in..... $person 1 x 1 Matrix of class "dpoMatrix" (Intercept) (Intercept) 0.7755392 $rater 1 x 1 Matrix

Estimados una consulta me encuentro graficando un histograma cuyos datos no provienen de una distribución clásica como la normal exponenial, poisson, etc, Lo que necesito es colocar una curva no paramétrica que permita evidenciar el ajuste de los datos a esa curva ya que son muchos (alrededor de 80000). Muchas gracias [[alternative HTML version deleted]]

Hello R users- I am new to R, and tried searching the archives and literature for an answer to this - please be patient if I missed something obvious. I am fitting a logistic regression model, and would like to include variance functions (specifically the varIdent function). I cannot figure out how to do this either in glmmPQL (or something similar) for the model with random effects, or in glm

Estimados su ayuda, tengo un total de 20 matrices las cuales deseo colocarlas como componentes de la lista, es decir matrices<-list(matriz1,matriz2,matriz3,...,matriz20) existe alguna manera de hacer esto de manera automatica ya que puede que exista un mayor numero de matrices por ejemplo 100, donde el ingreso de una por una puede resultar un poco cansado. A su vez a las matrices ingresadas

Dear all, I'm wanting to do a series of comparisons among 4 categorical variables: a <- aggregate(y, list(var1, var2, var3, var4), sum) This gets me a very nice 2-dimensional data frame with one column per variable, BUT, as help for aggregate says, <<empty subsets are removed>>. I don't see in help(aggregate) how I can change this. In contrast, a <- tapply(y,

Hello all, I am trying to use "clim.pact" package for my work, but since this is the beginning for me to use gridded datasets in "R", I am having some trouble. I want to do seasonal analyses like trends, anomalies, variograms, EOF and probably kriging too to downscale my 1 degree gridded data to 0.5.  So, as a first step, I compiled my entire dataset (with 25