similar to: Estimate the average abundance using Poisson regression with a log link.

Hi, First, thanks to those who helped me see my gross misunderstanding of randomForest. I worked through a baging tutorial and now understand the "many tree" approach. However, it is not what I want to do! My bagged errors are accpetable but I need to use the actual tree and need a single tree application. I am using rpart for a classification tree but am interested in a more unbaised

Hello R Community, I've been run the following codes. However, I've been getting an unusual segfault that I'm unable to trace its origin. Please give me a light to decipher the "caught segfault" Thanks for you attention. Bernardo. > options(STERM='iESS', editor='emacsclient') > rm(list = ls()) > > source("fgenIGLD.R") #RNG

Dear List I am using R with mcgv package to model spatial variation in density estimates of dorcas gazelle in Sinai. I have 59 points of data and 4 explanatory variables(distance from mountain edge, camel presence, Latitude & Longitude). I want to test the model fir via bootstraping. I have used the jacknife bootstraping but it have the limitation of allowing only 58 trials. I tried to use the

Dear R users, I?m student of Master in Statistic and Data analysis, in New University of Lisbon. And now i?m writting my dissertation in variance estimation.So i?m using Survey Package to compute the principal estimators and theirs variances. My data is from Incoming and Expendire Survey. This is stratified Multi-stage Survey care out by National Statistic Institute of Mozambique. My domain of

Normal 0 21 false false false MicrosoftInternetExplorer4 Dear R-helpers,   I was wondering whether there are any good books and/or website links that introduce mark-recapture analysis in R. In

Afternoon R help, I want to run Rasch/IRT analyses using the ltm package, however, I am using large scale survey data which requires weighting for accurate results. I attempted to create a weighted object to insert into the formulae of the ltm packages, however, the survey data only includes 30 replicate weights and a sampling weight. The svrepdesign requires additional information such as

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Hello, How can I randomly sample individuals within a sites from a site (row) X species abundance (column) data frame or matrix? As an example, the matrix "abund2" made below. ##### (sorry, Im a newbie and this is the only way I know to get an example on here) abund1 <- c(150, 300, 0, 360, 150, 300, 0, 240, 150, 0, 60, 0, 150, 0, 540, 0, 0, 300, 0, 240, 300, 300,

I am trying to understand my population abundance data and am looking into analyses of change point to try and determine, at approximately what point do populations begin to change (either decline or increasing). Can anyone offer suggestions on ways to go about this? I have looked into bcp and strucchange packages but am not completely convinced that these are appropriate for my data. Here is

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Hi dear R-helpers, Happy new year. I have estimated Gini index variance in the case of complex survey (stratify and with two stage sampling). I use the survey package. I use replication (bootstrap, and Jacknife) and linearisation according to Binder (1993) article David A. Binder and Milorad Kovaˇcevi´c(1993), « Estimating some measures of income inequality from survey data : An

Hi, I have the following jackknife code which is much slower than my colleagues C code. Yet I like R very much and wonder how R experts would optimize this. I think that the for (i in 1:N_B) part is bad because Rprof() said sum() is called very often but I have no idea how to optimize it. #O <- read.table("foo.dat")$V1 O <- runif(100000); k=100 # size of block to delete

Case cohort function cch() is in survival package. In cch(), the prentice method is implemented like this: Prentice <- function(tenter, texit, cc, id, X, ntot,robust){ eps <- 0.00000001 cens <- as.numeric(cc>0) # Censorship indicators subcoh <- as.numeric(cc<2) # Subcohort indicators ## Calculate Prentice estimate ent2 <- tenter ent2[cc==2] <-

Dear all, I am new to R and even newer to mapping with R. I have installed PBSMapping, maptools and maps, and I am struggling to produce a map of fish abundance in the Grand Banks. I have tried several approaches to plot the bathymetry in my study area: 1) download the data from http://topex.ucsd.edu/cgi-bin/get_data.cgi (42N46N313W307W) To start with, the map I get is blank between

Hi R-users: [R 2.2 on OSX 10.4.3] I have a (sparse) vegetation data frame with 500 rows (sampling units) and 177 columns (plant species) where the data represent % cover. I need to summarize the cover data by returning the names of the most dominant and the second most dominant species per plot. I reduced the data frame to omit cover below 5%; this is what it looks like stacked. I have

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):

(Adding Stefan who implemented the subcommand) On Wed, Aug 15, 2018 at 12:44:44PM +0200, Kevin Wolf wrote: > Am 15.08.2018 um 12:26 hat Richard W.M. Jones geschrieben: > > On Tue, Aug 14, 2018 at 09:31:06PM +0300, Nir Soffer wrote: > > > On Tue, Aug 14, 2018 at 8:29 PM Richard W.M. Jones <rjones@redhat.com> > > > wrote: > > > > > > > This

On Tue, Aug 14, 2018 at 09:31:06PM +0300, Nir Soffer wrote: > On Tue, Aug 14, 2018 at 8:29 PM Richard W.M. Jones <rjones@redhat.com> > wrote: > > > This option prints the estimated size of the data that will be copied > > from the source disk. > > > > For interest, the test prints: > > > > 3747840 ../test-data/phony-guests/windows.img > >

This option prints the estimated size of the data that will be copied from the source disk. Currently this overestimates by the size of the qcow2 header, but for real disk images that doesn't matter much. For example: $ virt-builder fedora-27 $ virt-v2v -i disk fedora-27.img -o null --machine-readable --print-estimate [...] virt-v2v: This guest has virtio drivers installed. [ 44.0] Mapping