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Hi All, could anybody help me to understand what is this error means ? mydata=read.table("C:/Documents and Settings/angieb/Desktop/CommercialGL/cl_ilf_claimdata.csv",header=TRUE,sep=",") > names(mydata) [1] "ILFTable" "liabLimit" "AnnAggLimit" "DedAmt" "Loss" "TIL" >

Hi, Sorry if this is a repost. I searched but found no results. I am wondering if it is an easy way to construct the following matrix: r 1 0 0 0 r^2 r 1 0 0 r^3 r^2 r 1 0 r^4 r^3 r^2 r 1 where r could be any number. Thanks. Wen [[alternative HTML version deleted]]

...of the most likely reasons for this error message. If more info is required in order to give any advice, please let me know and I can forward you details of the dataset or the tree used in the analysis Many thanks for any help that can be offered. Cheers, Jon. <http://www.zoo.cam.ac.uk/ioz/people/bielby.htm> [[alternative HTML version deleted]]

I am analysing some binary data with a mixed effects model using glmmPQL. I am aware that I cannot use the AIC values to help me find the minimum adequate model so how do I perform likelihood ratio tests? I need to fix on the minimum adequate model but I'm not sure of the proper way to do this. Thank you very much, Elizabeth Boakes Elizabeth Boakes PhD Student Institute of Zoology

Dear list members, I am analysing some microarray data. I have got the differentially expressed genes and now want to carry out PCA analysis to get the main components that contribute to the variance.I have browsered the CRAN and BioConductor and did not find an appropriate package. Have anybody ever carried out PCA analysis? Is there any package about PCA in R? Thanks for your advice.

Hi Im currently trying to plot my NMDS data together with fitted variables (envfit funct) on an ordination plot. The plot function shows two displays="sites" and "sp". I was wondering how to plot it so that the sites come up as different points for different sites but the species come up as actual names? It looks a little busy at the moment with everything in. Sya -- View

I'm testing iozone inside a VM booted from a gluster volume. By looking at network traffic on the host (the one connected to the gluster storage) I can see that a simple iozone -w -c -e -i 0 -+n -C -r 64k -s 1g -t 1 -F /tmp/gluster.ioz will make about 1200mbit/s on a bonded dual gigabit nic (probably, with a ba...

...ments/sia/project/locfit/dens.html and I get > library(locfit) > data(geyser,package=locfit) > fit <- locfit(~geyser,alpha=c(0.1,0.80),flim=c(1,6)) Segmentation fault (core dumped) Does anyone have any ideas? Best wishes, Mark ---------------------------------------------- wright.ioz.ac.uk> R INSTALL locfit ~/rstuff Installing package `locfit' ... libs cc -ieee_with_inexact -O2 -I/usr/local/R-0.61.1/include -c family.c -o family.o cc -ieee_with_inexact -O2 -I/usr/local/R-0.61.1/include -c kdtree.c -o kdtree.o cc -ieee_with_inexact -O2 -I/usr/local/R-0.61.1/include...

I am analysing binomial data using a generalised mixed effects model. I understand that if I use glmmPQL it is not appropriate to compare AIC values to obtain a minimum adequate model. I am assuming that this means it is also inappropriate to use AIC values from lmer since, when analysing binomial data, lmer also uses PQL methods. However, I wasn't sure so please could somebody clarify

Dear Dr.Goslee and anyone may intrested in matrix manipulate, I am using your ecodist to do mantel and partial mantel test, I have locality data and shape variation data, and the two distance matrixs are given as belowings. When I run the analysis, it is always report that the matrix is not square, but I didn't know what's wrong with my data. Would you please help me on this. I am quite

Hello, I was wondering if anyone knew of an R function/R code to plot bivariate (3 dimensional) partial dependence plots in random forests (randomForest package). It is apparently possible using the rgl package (http://esapubs.org/archive/ecol/E088/173/appendix-C.htm) or there may be a more direct function such as the pairplot() in MART (multiple additive regression trees)? Many

Hi, I have been trying to plot density plots using the example on: http://addictedtor.free.fr/graphiques/graphcode.php?graph=139 I used to use this function, but I cannot get any old code or even the example to work. library("geneplotter") require("RColorBrewer") x1 <- matrix(rnorm(1e4), ncol=2) x2 <- matrix(rnorm(1e4, mean=3, sd=1.5), ncol=2) x <-

Dear list members, This is probably a naive question (from a new user), but I'm having problems getting column names to be recognised in loop that is supposed to apply a set of calculations in turn to each column of a dataframe. The dataframe has 33 columns of output from a simulation. The columns each have a text name and I want to apply the same set of calculations to each column in turn.

Dear list members, I am analysing my microarray data using limma package. Now I encounter several problems. Looking forward to your suggestions! Question 1: During the process of background correction using method="normexp", four warning messages appeared as "NaNs produced in: log(x)" (as you can see in the program posted below). What does that mean? How will it effect the

Hi there I'm trying to construct a model of mortality risk in 2D space that requires numerical integration of a hazard function, for which I'm using the integrate function. I'm occasionally encountering parameter combinations that cause integrate to terminate with error "Error in integrate... the integral is probably divergent", which I'm not sure how to interpret. The