similar to: R - box design-scatter plot für means/regression/lme?

Dear R-Experts, Dear friends of dung. I have a statistical Problem, to which nobody I asked could give me an answer. Maybe you can. I was in the African-Savanna and made a Dung-Monitoring. This means I walked randomly over the field and for every Dung-Event I found I noted following parameters: Species (Waterbuck, Giraffe, Reedbuck); Age-Category (less than a week, more than a week & less

To Whom It May Concern: I have an R package and want to put this package be part of R-project and available to anyone who is interested in. The R package is created for my paper, titled "Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum-Saunders Distribution for Percentiles". The paper has been accepted by Communications in Statistics: Simulation and

I have a dataframe of animal locations that I need to have in incremental order so that I can calculate the distance traveled between each time step. However, I have identified a few values that don't seem to sort properly. For instance, the last value in the table below should be the first value after sorting, since its time value is '00:01:35'. But, for some reason, it seems to be

I've seen a few threads about this, but none that seem to answer my problem I have a list of .txt files in a directory that I am reading into R and row binding together. I am using the following code to do so: # Directory where files are found my.txt.file.directory <- "C:/Jared/Data/Kenya/Wildebeest/Tracking_Data" names.of.txt.files <-

Hi, I make an analysis and depending of the order of the variables, the significance change, look. m1 <- glm((infec/ntot)~idade+sexo+peso,family=binomial,weights=ntot) > anova(m1,test="F") Analysis of Deviance Table Model: binomial, link: logit Response: (infec/ntot) Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev F Pr(>F)

dear list! i have run several glm analysises to estimate a mean rate of dung decay for independent trials. i would like to compare these results statistically but can't find any solution. the glm calls are: dung.glm1<-glm(STATE~DAYS, data=o_cov, family="binomial(link="logit")) dung.glm2<-glm(STATE~DAYS, data=o_cov_T12, family="binomial(link="logit")) as

Full_Name: Chien-yu Peng Version: 2.0.1 OS: Windows XP Professional Submission from: (NULL) (140.109.72.181) Dear all: Although I don't know you, I am thankful for your help. When I use the function mantelhaen.test for R x C x K (R, C > 2) table, the output is not the same as SAS's. I don't know that the result consist with one of SAS's. But it works correctly for 2

Hello, I am having a problem specifying the correlation structure in lme which leads to the error: Error in getCovariate.corSpatial(object, data = data) : Cannot have zero distances in "corSpatial". I have specified a grouping variable which is the only fix I could find by searching this error on R-help. ISee the below example. When my samples (tran) - which are transects

Hi Mark: I had also used sample and tabulate for generating multinomial and found it to be quite slow. So I had written a multinomial random numbers generator based on the GENMUL subroutine from "ranlib", which in turn is based on the algorithm from Luc Devroye's book on "Non-Uniform Random Variate Generation" You may want to compare this with your hybrid algorithm and

This is an OpenPGP/MIME signed message (RFC 2440 and 3156) --------------enig5A700CC15DEABD01445A1B70 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Hi, I have modified the code originally posted to include capability for arbitrary weightings for the rows and columns (which apply in the nominal-ordinal and the ordinal-ordinal cases). The code is pasted

Hi all Can anybody help me with this? I am trying to include in an automatic way the argument in arg.names in a barplot. I generate the labels I want to appear below the bars with a for loop, and they contain subscripts, so I need to use expression anch<-0.05 esp<-4 for (i in 1:dim(Ntot)[1]) { naux<-Ntot[i,] naux2<-naux[naux>0] nind<-which(naux>0)

I think this is new since a previous version of R: > h <- function(x, trantab) trantab[x] > w <- 6:4 > names(w) <- c('cat','dog','giraffe') > w cat dog giraffe 6 5 4 > > formals(h) <- list(x=numeric(0), trantab=w) > h function (x = numeric(0), trantab = c(6, 5, 4)) trantab[x] You can see that the names

In a package, i type a function name and got the following message: ... tmp <- .Fortran("master", x = as.double(x), y = as.double(y), sort = as.logical(sort), rw = as.double(rw), npd = as.integer(npd), ntot = as.integer(ntot), nadj = integer(tadj), madj = as.integer(madj), ind = integer(npd), tx = double(npd), ty = double(npd),

Dear R-Experts. I collected different datas about Nitrogen content (mg/ml) in Dung. The dung was eighter fresh (day=0) or had different ages (15,29,47) to observe nutrient changes over time. Now I like to draw a boxplot. boxplot(nmgml~day) abline((nmgml~day) The Problem is, that the boxplot considers the day values as groups and not as time series (neighter when the days are numeric or

Hello, I am using dovecot as an imap server, mail is stored in mail directories. Configuration is below. One mail directory has about 14 Gb of mail in the inbox and .Sent directories. Searching from an Android phone with gmail is slow or doesn't work (it times out). Is there a configuration for Dovecot that can improve this? A better e-mail client for Android? Thanks, John root at

R helpers, I am working with the R program performing multivariate regression trees (MRT). I have a matrix with species and environmental variables saved as a CSV file (sprot_matrix.csv), I have 42 species and 8 environmental variables (SECCHI+PH+TA+PTOT+NTOT+CHLA+AREA+ MEANDEP) for 104 samples Title SpA SpB SpC SpD Varible1 Variable2 Variable3 Sample1 Sample 2

Hi Alexander Wuerstlein Thank for the information. Now I agree that it's better to save the socket in /tmp/ I checked the source code and found that it is hard-coded. /* Allocate a buffer for the socket name, and format the name. */ auth_sock_dir = xstrdup("/tmp/ssh-XXXXXXXXXX"); It would be nice if openssh provides an option to overwrite this default. Regards Tran

For block effects with small variance, lmer will sometimes estimate the variance as being very close to zero and issue a warning. I don't have a problem with this -- I've explored things a bit with some simulations (see below) and conclude that this is probably inevitable when trying to incorporate random effects with not very much data (the means and medians of estimates are plausibly

I dont't know the capabilities of gmail, but IMAP supports server side search which is quite fast if the Solr full text search plugin for dovecot is used (wiki.dovecot.org/Plugins/FTS/Solr). For debian "dovecot-solr" can be used. For Android K9-Mail does not really support server side search, Aquamail does and for other mail clients I don't know. Am 1. Dezember 2019 22:18:37

I ran the following code: And I run into problems with the last line of code (when it says hn<-......). I keep getting an error code: Error in distsamp(~hab ~ 1, peldist, keyfun = "halfnorm", output = "density", : object 'A' not found I would appreciate any and all help. rm(list=ls(all=TRUE)) #clear the computer's