similar to: P-values in ncf package

Hello group, For my PhD I'm working on a spatial sampling grid. I do have two data sets which I'd like to compare using cross-correlograms or cross-variograms. Is this an option in one of the R-packages? I've been searching the R-help archive and the available package-documentations, but I can't find how to do this. Thanks in advance, Ren?.

Hi, I'm doing cross-correlation correlograms with the ncf package. I have four study sites ; four correlograms. I'd like to get the same y scale for the four of them... only, using "ylim=c(-1,1)" does not change the y scale never and I don't know why. I tried with plot() too. Is there another option to change the ylim in plots ? Example with only one correlog (all work

Hi all, I'm using R 2.0.1. for Windows to analyze the influence of following factors on response Y: A (four levels) B (three levels) C (two levels) D (29 levels) with E (four replicates) The dataset looks like this: A B C D E Y 0 1 1 1 1 491.9 0 1 1 1 2 618.7 0 1 1 1 3 448.2 0 1 1 1 4 632.9 250 1 1 1 1 92.4 250 1 1 1 2 117 250 1 1 1 3 35.5 250 1 1 1 4 102.7 500 1 1 1 1 47 500 1 1 1 2 57.4

Hi group, I'm trying to do a Tukey test to compare the means of a factor ("treatment") with three levels in an lme model that also contains the factors "site" and "time": model = response ~ treatment * (site + time) When I enter this model in csimtest, it takes all but the main factor "treatment" as covariables, not as factors (see below). Is it

All, I'm trying to analyze the results of a reciprocal transplant experiment using lme(). While I get the error-term right in aov(), in lme() it appears impossible to get as expected. I would be greatful for any help. My experiment aimed to identify whether two fixed factors (habitat type and soil type) affect the development of plants. I took soil from six random sites each of two types

Hello, I am working with two datasets with ~5,200 observations. Apparently, neither the correlog function (ncf package) nor the mantel function (ecodist package) can handle these datasets. Does anyone have any experience about the maximum number of observations these functions can handle? I am considering partitioning them into smaller subsets. This would not be an ideal

Why are the results not reliable? ________________________________ From: ESCHEN Rene [mailto:rene.eschen@unifr.ch] Sent: Wednesday, August 23, 2006 3:48 AM To: Spencer Graves; r-help@stat.math.ethz.ch Cc: Doran, Harold Subject: RE: [R] Random structure of nested design in lme The output of the suggested lmer model looks very similar to the output of aov, also when I ran the model

Greetings This is a long email. I'm struggling with a data set comprising 2,278 hydroacoustic estimates of fish biomass density made along line transects in two lakes (lakes Michigan and Huron, three years in each lake). The data represent lakewide surveys in each year and each data point represents the estimate for a horizontal interval 1 km in length. I'm interested in comparing

On Oct 16, 2012, at 11:45 AM, Dave Abrahams wrote: > I'm working on a project to separate from Clang all the logic necessary > to generate C/C++/ObjC-ABI-compatible code so that other front-ends, > both C family (e.g. Dragonegg, and in BoostPro's case, EDG) and other > languages/code generators, can interoperate with C family code. So, specifically, this would be some sort of

Dear all, I generated a Correlograms and used the panel.ellipse (confidence ellipse and smoothed line) option. Is there a way to get instead of the smoothed line the linear regression? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-and-linear-regression-tp2331071p2331071.html Sent from the R help mailing list archive at Nabble.com.

I'm trying to make correlograms using corrgram. See below for a simple example. #### library(corrgram) data(baseball) vars1 <- c("Assists","Atbat","Errors","Hits","Homer","logSal") vars2 <- c("Putouts","RBI","Runs","Walks","Years")

Dear R-Users, I have been using R for about 1 week and recently learned about the Aggregate function, and from reading online it seems like it is comparable to a SQL group by to perform summary functions. I am looking to do a summary function, such as SUM/MIN, but instead of these basic functions, I would like to calculate the IRR. Assuming I have a data set DS01: FirstName LastName

I would like to make a correlogram in which I also have a correlation matrix instead of one of the panels. Is that possible? -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-tp4283245p4283245.html Sent from the R help mailing list archive at Nabble.com.

Dear Colleagues: Through your help an R related installation issue was resolved, but I now have the following usage issue. On any "get.var.ncdf" usage I am seeing: Error: in routine alloca() there is a stack overflow: thread 0, max 535822282KB, used 0KB, request 24B The same error is posted on a file as small as 50MB and as large as 500GB, with ulimit set to unlimited. I

Hi group, I'd like to do spatial analysis of my data using the spdep package. It appears that a file of class nb is necessary, but I do not find what that should look like and if there is a function that creates such file for me. How can I create a nb-object of my data points? Thanks, René Eschen. [[alternative HTML version deleted]]

Hello, I have time series and need to draw simple and partial correlograms with associated Q-statistics (the same as in EViews). Can I do it in R? Thanks --------------------------------- [[alternate HTML version deleted]]

rsync-2.4.6-2mdk I ran an rsync into a file system that filled up. I got no error message out of rsync - it just stopped and exited sliently. I stuck an fprintf into the receiving code and verified that the proper error was being generated - it just never gets printed by the rsync sending process. I submitted a bug report about it; but, I can't believe that other people haven't had

Dear colleagues, Where I can find tools for drawing correlograms (graphical representations of autocorrelation and partial autocorrelation functions)? Thank you, Max --- This message contains no viruses. Guaranteed by Kaspersky Anti-Virus. www.antivirus.lv

Dear all, I'm using the correlogram function in the spatial library to calculate spatial correlograms of radar data. However, I'm finding that the resulting values are often outside the range [-1,1], usually only at larger distances of separation. I'm not sure whether to be overly concerned about this, or dismiss it as some artefact of the data. Has anyone had similar experiences?

Hello, I am trying to plot a few correlograms on the same figure, with the function corrgram() from the package corrgram. However, the function does not seem to use the base graphic system, as setting out the multiple figure layout with, e.g., par(mfrow=c(2, 2,)) does not work. Does anybody know a workaround for this? Many thanks in advance for any advice best giuseppe -- Giuseppe Pagnoni,