similar to: grouping rows into bin ranges

I get tables with millions of rows. For plotting to a screen-size jpg, obviously just about 1000 points are enough. Instead of feeding plot() the original millions of rows, I'd rather shrink the original dataframe, using some kind of the following interpolation: -- split dataframe into chunks of N rows each, e.g. 1000 rows each -- compute average for each column -- issue one new row

Dear all, (Mac OS X 10.4.11, R 2.6.0) I have a quantitative dataset with a lot of Na?s in it. So many, that it is not possible to delete all rows with NA?s and also not possible, to delete all variables with NA?s. Is there a function for a principal component analysis, that can deal with so many NA?s. Thanks in advance Birgit Birgit Lemcke Institut f?r Systematische Botanik

Hi, I am a new student to R and I was hoping someone could help me with the error message I keep getting when I try to use the nb2listw() function. I have 45 sites and I want to get an autocorrelation value for sites within 1000m of each other. coords<-cbind(EAST,NORTH) coords<-as.matrix(coords) nb1000<-dnearneigh(coords,0,1000,longlat=TRUE) then when I try to run the

Dear R user, I am using Sweave to write my reports with R code. Unlucly my code take a lot of time to run, and I don't want to run it multiple time, if possible, as I am still developping the tools. It seems that a sweave run does not save the enviroment at the end of the process, is there a way to avoid to lunch multiple time the same commands? maybe it could be possible to store chunck of

Hi the list, I am defining a new class MyClass. Shortly, I will submit a package with it. Before, I would like to know if there is a kind of "non official list" of what method a new S4 object have. More precisely, personnaly, I use 'print', 'summary' and 'plot' a lot. So for my new class, I define these 3 methods. Is there some other method that a R user can

Dear all, I'm using the package adehabitat in R to import several .asc files (=matrix), and also create a kasc object (=dataframe) with all of them. The main idea is to use this kasc object to map the predicted values of climate-matching model for an overall area. However, I don't know how to proceed: Do I have to project the model (already stored in R) onto the kasc object directly, or

hi, if I have 20 x 3 data.frame, how to split it into 10 x 6 (moving the lower part of 10x3 to column) or 5 x 12 thanks -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..." ---Matrix III

Hi Everyone, I am doing a project based on "Spatially Lagged Predictor Variable Models", I would like to know which package in R would execute this model. Also, I am new to this field of spatial statistics. Any suggestions for a good book on spatial regression analysis would be appreciated. Thanks Again. Cheers Arun -- View this message in context:

Hi, I am trying to calculate Moran's I test for the residuals for a regression equation, but I have trouble converting my coordinates into nb format. I have used the dnearneigh() funtion now with an arbitrarily high upper distance to make it include all plots. However, when I do the lm.morantest() I get a Moran's I value which is the same as the expected value and a P-value of 1. I

Hi to all, I recently created a small package which contains some simple R functions in order to help students in my research unit to use R. The package is pure R, it passes R CMD check, but it is really designed for internal use and, moreover, it is entirely documented in french. Is it possible to upload and to host this kind of package to CRAN ? Or is it better, as it is quite a private tool

Dear R user Suppose I have the following list: > f <- rnorm(2) > s <- rnorm(3) > l <- list(f,s) > l [[1]] [1] 0.31784399 0.08575421 [[2]] [1] -0.6191679 0.7615479 -1.0087659 Can I stack the entries of this list in 1 vector with the first list entry followed by the second? The reference manual says that I can use the command /stack/, which can take as arguments

Hello all, I am trying to implement a simple Genetic Algorithm. I am doing this in R since I want access to the statistical functions (eg lm) it provides. I'm not new to programming, or GAs, but I am totally new to R (the package and the language), and I am hoping someone could help with these questions: 1. I am going to use a binary representation, it seems that vectors of Factors would

Hi, I have collected data on trees from 5 forest plots located within the same landscape. Data within the plots are spatially autocorrelated (calculated using Moran's I). I would like to do a ANCOVA type of analysis combining these five plots, but the assumption that there is no autocorrelation in the residuals is obviously violated. Does anyone have any ideas how to incorporate these spatial

Full_Name: Jori M?ntysalo Version: 2.3.1 OS: Linux, GNU/Debian stable Submission from: (NULL) (81.197.171.182) I said ./configure --with-readline=no --with-x=no make make install and everything works except that /usr/local/lib/R/etc/ldpaths was not readable as normal user.

Dear R-help, I would like to include the documentation of an R function in an *.rnw document processed by Sweave. Because I'm sharing my *.rnw files with colleagues under Linux and Windows (I'm on Mac OS X), I would like a pure R solution. The naive approach doesn't work, because Sweaving this *.rnw file: -------- tmp.rnw -------- \documentclass{article} \begin{document}

Dear list, I may have found a bug in model.frame.default (called by the lm function). The problem arises in my R dev version but not in my R 2.4.0. Here is my config : > version _ platform x86_64-unknown-linux-gnu arch x86_64

Dear R-users. I eventually bought myself a new computer with the following characteristics: Processor AMD ATHLON 64 DUAL CORE 4000+ (socket AM2) Mother board ASR SK-AM2 2 Ram Corsair Value 1 GB DDR2 800 Mhz Hard Disk WESTERN DIGITAL 160 GB SATA2 8MB I'm a newcomer to the Linux world. I started using it (Ubuntu 7.10 at work and FC4 on laptop) on a regular basis on May. I must say I'm

Dear R-users. I eventually bought myself a new computer with the following characteristics: Processor AMD ATHLON 64 DUAL CORE 4000+ (socket AM2) Mother board ASR SK-AM2 2 Ram Corsair Value 1 GB DDR2 800 Mhz Hard Disk WESTERN DIGITAL 160 GB SATA2 8MB I'm a newcomer to the Linux world. I started using it (Ubuntu 7.10 at work and FC4 on laptop) on a regular basis on May. I must say I'm

Hi R, I wanted to know how do we access the elements of a list. In particular, v=list(c(1,2,3,4,5),c(1,2,33,4,5),c(1,2,333,4,5),c(1,2,3333,4,5)) I want to access all the thirds items of the elements of the list. i.e., I want to access the elements, 3,33,333,3333. This can be done through sapply as: sapply(v,function(x) x[3]) But I need to access this without using

Hello list, does anyone know if Monmonier algorithm is available in R? I've checked several spatial libraries, but I didn't find anything related to it. However, there is a huge documentation and I may have missed it. Before coding it, I'd like to be sure it doesn't already exist. Cheers, Thibaut Jombart. -- ###################################### Thibaut JOMBART CNRS UMR