similar to: Weighted averaging partial least squares regression

Hi I have submitted a package (rioja) to CRAN. It checks OK for all R versions and OS's except r-release-macosx-ix86 where it fails when checking the examples. Specifically, it fails because R can't find the package vegan which is needed in a function. Here is the snippet from the check results: ### Begin snippet checking examples ... ERROR Running examples in 'rioja-Ex.R'

Hello, I would like to know if there is a function in an R library that allows to do cluster analysis under contiguity constraints ? Thank you very much for your answer ! Lise Bellanger -- Lise Bellanger, Universit? de Nantes D?partement de Math?matiques, Laboratoire Jean Leray UMR CNRS 6629 2, Rue de la Houssini?re BP 92208 - F-44322 Nantes Cedex 03 T?l. : (33|0) 2 51 12

Having searched CRAN and the mailing list archives, I'm pretty sure there is no function in R that implements constrained clustering. Before I start writing my own, have I overlooked something? Thanks, Tyler

On Mon, Feb 29, 2016 at 6:17 PM, John Chambers <jmc at r-project.org> wrote: > The Wikipedia statement may be a bit misleading. > > S was never open source. Source versions would only have been available with a nondisclosure agreement, and relatively few copies would have been distributed in source. There was a small but valuable "beta test" network, mainly university

Dear friends: Using Centos 5. I have two physical drives. During install, I made sure to check hdb as well as hda. Both were listed as partitions (which is correct). But my fstab file does not show hdb. How do I make sure that hdb has been formatted and is part of my file system. If hdb is not formatted, how do I format it, please. Sorry for the question. I am a newbie. d[sher at localhost

Ilija Barukcic, Jever, Germany. GMT + 1h. Barukcic at t-online.de Hallo, you are receiving this message from me as someone who potentially has bought the first Edition of my book Causality. New statistical methods. ISBN 3 - 8 3 3 4 - 3 6 4 5 - X. Your email address was obtained either through my friends, your publication, a colleague or via correspondence with you. I am pleased to

flight 12252 xen-unstable real [real] http://www.chiark.greenend.org.uk/~xensrcts/logs/12252/ Regressions :-( Tests which did not succeed and are blocking, including tests which could not be run: build-i386-oldkern 4 xen-build fail REGR. vs. 12249 build-i386 4 xen-build fail REGR. vs. 12249 Tests which are failing intermittently

http://bugs.freedesktop.org/show_bug.cgi?id=12833 Summary: Geforce 8400M GS (id 0x427): stick to 800x600 Product: xorg Version: unspecified Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at

I am struggling to get GAM model predictions from the top models calculated using model.avg in the package "MuMIn". My model looks something like the following: gamp <- gam(log10(y)~s(x1,bs="tp",k=3)+s(x2,bs="tp",k=3)+ s(x3,bs="tp",k=3)+s(x4,bs="tp",k=3)+s(x5,bs="tp",k=3)+ s(x6,bs="tp",k=3)+x7,data=dat,

Dear All, I'm using AIC-weighted model averaging to calculate model averaged parameter estimates and partial r-squares of each variable in a 10-variable linear regression. I've been using the MuMIn package to calculate parameter estimates, but am struggling with partial r-squares. There doesn't seem to be any function in the MuMIn package dealing with partial r-square

Dear all, does anyone have r code to perform model-averaging of regression parameters by Akaike weights, and/or to do all-possible-subsets lm modelling that reports parameter estimates, AICc and number of parameters for each model? I have been looking for these in the archive but found none. (I am aware that many of you would warn me against these methods advocated by Burnham and Anderson

Hi, What's the best way to average dates? I though mean.POISXct would work fine but... > a [1] "2007-04-02 19:22:00 WEST" > b [1] "2007-03-17 16:23:00 WET" > class(a) [1] "POSIXt" "POSIXct" > class(b) [1] "POSIXt" "POSIXct" > mean(a,b) [1] "2007-04-02 19:22:00 WEST" > mean(b,a) [1] "2007-03-17

Dear R-users, I've spent most of the day reading R documentation at length but couldn't find something perhaps obvious. I have a dataset made of 3 morphometric variables for a series of watershed [log(slope); log(drainage_area); distance_to_outlet] My aim is to predict the value of log(slope) for pairs of [drainage_area; distance_to_outlet] (sounds like a plain linear model fitting,

I have a dataframe with names in the first column and wait times between decisions in the second column. Since individuals make multiple decisions, I want the average for each individual. For example, the data might look like this name wtime jo 1 jo 2 jo 1 jo 3 tim 3 tim 2 tim 2 ro 1 ro 2 etc. I'm hoping there is something like mean(dataname$wtime[name]) which will just

HI, List I want to know weather any body has used BMA Package for model averaging for prediction of future values.....What are the paprmeters we have to suplly to the model. Any script for the same. thanks in advance ANIL KUMAR( METEOROLOGIST) LRF SECTION NATIONAL CLIMATE CENTER ADGM(RESEARCH) INDIA METEOROLOGICAL DEPARTMENT SHIVIJI NAGAR PUNE-411005 INDIA MOBILE +919422023277

Dear R-helpers, I have a list containing 5000 elements, each element is a dataframe containing one ID column (identical over the 5000 dataframes) and 9 numeric variables, e.g. ID VAR1 VAR2 VAR3 ... VAR9 I would like to create a new dataframe containing the ID column and the mean values of the 9 numeric variables. So, the structure of this new dataframe would be identical to the structure of the

Dear R-philes, I am having some trouble averaging across multiple runs of a classifier in an ROC Curve. I am using the ROCR package and the plot() method. First, I initialize a list with two elements where each element is a list of predictions and labels: vowel.ROC <- list(predictions=list(), labels=list()) For every run of the classifier, I append the scores and labels to their

I have the following data: http://i.imagehost.org/0650/Untitled2.jpg How would i average, say the 5th and the 8th entries? Thanks in advance -- View this message in context: http://n4.nabble.com/Simple-averaging-question-tp1009086p1009086.html Sent from the R help mailing list archive at Nabble.com.

Dear all, 1) I have a very large matrix of  str(keep)  num [1:153899, 1:3415] -98.6 -95.8 -96.4 -95.8 -98 ... that  I would like to reduce its size to something like str(keep)  num [1:1000, 1:3415] -98.6 -95.8 -96.4 -95.8 -98 ...  or anything similar in size as this is a matrix that needs plotting (so is ok if it is 1000 row, 995, or 1123) I think what I need here is a way of selecting

Dear R-help and ROCR developers (Tobias Sing and Oliver Sander) - I think my first question is generic and could apply to many methods, which is why I'm directing this initially to R-help as well as Tobias and Oliver. Question 1. The plot function in ROCR will average your cross validation data if asked. I'd like to use that averaged data to find a "best" cutoff but I