similar to: Spatially Lagged Predictor Variable Models

Hi R-users, I am trying to divide a vector (say X) into equal frequency bins. If one uses the hist() function, then a histogram is plotted, but with bins of equal widths, and not with bins having the same number of data points. I have then tried the histogram() function as follows: histogram(X, nint=10, breaks=NULL, equal.widths=F) This works as I want. However, I can't extract which

Hi everyone, I am looking for a package in R which can help me in using the imputation technique to find the missing values for my regression analysis. Any help would be appreciated. Cheers Arun -- View this message in context: http://www.nabble.com/Imputation-Packages-tp15790749p15790749.html Sent from the R help mailing list archive at Nabble.com.

i want to use cruisecontrol.rb to run ?rake test? (every time a new revision is in the svn repo) and ?rake metrics:all? (let?s say every 24 hours). how do i have to configure cruisecontrol.rb? both rake tasks work. however, when i configure cruisecontrol.rb as described on the metric_fu website, i.e. add ''project.rake_task = ?metrics:all? project.scheduler.polling_interval =

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

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

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.

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

Hi everyone, I have a matrix that contains 1000 replicates of a sample of a list of values. I want to group each row (row=replicate) into my defined bin ranges and then calculate the mean and stdev for each of the bin ranges (so I will have 1000 rows but ncol=number of bin ranges). I don't know how to group rows in a matrix matrix according to another vector (which is what I think I need to

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 R community, I'm working with PCA and CCA methods, and I have a theoretical question. Why is it necesary to have more temporal values than variables when the CCA O PCA are going to be used? Could you advise to me some any paper about it? Thanks in advance, [[alternative HTML version deleted]]

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

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

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 all, It is my understanding that using 'importFrom' in the NAMESPACE of a package allows to avoid conflicts between different packages defining objects with identical names. However, I can still see conflicts while loading the package using 'library'. Here is a toy example, with a package 'foo' importing 'as.igraph' from the igraph package, and 'nj'

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