similar to: Getting vastly different results when running GLMs

Hi, I have a question regarding data importing into R. When I import my data into R and review the summary, some of my explanatory variables are being reported as if instead of being one variable, they are two with the same name. See below for an example; Behav person Behav dog Position **combination : 38 combination : 4** Bank :372 **combination : 7

Given the following data frame ("freq.sp"), > str(freq.sp) `data.frame': 42 obs. of 4 variables: $ behav : Factor w/ 6 levels "approach","bowride",..: 1 1 1 1 1 1 1 2 2 2 ... $ species: Factor w/ 7 levels "COAST_SPOT","EAST_SPINR",..: 1 2 3 4 5 6 7 1 2 3 ... $ n : int 193 194 563 357 570 369 74 194 208 633 ... $ pct :

Hello, In order for us to help we need to know how you've imported your data. What was the file type? What instructions have you used to import it? Did you use base R or a package? Give us a minimal but complete code example that can reproduce your situation. Hope this helps, Rui Barradas Em 01-06-2017 11:02, Tara Adcock escreveu: > Hi, > > I have a question regarding data

Hi Tara, It seems that you categorise and count for each category. Could it be that the method you use puts everything that doesn't match the predefined categories in Other? I'm only guessing because without a minimal reproducible example it's difficult to do anything else. Best wishes Ulrik Rui Barradas <ruipbarradas at sapo.pt> schrieb am Do., 1. Juni 2017, 17:30: >

Check for leading or trailing spaces in the strings in your data. dput(dataset) would show them. Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, Jun 1, 2017 at 8:49 AM, Ulrik Stervbo <ulrik.stervbo at gmail.com> wrote: > Hi Tara, > > It seems that you categorise and count for each category. Could it be that > the method you use puts everything that doesn't match the

> On Jun 1, 2017, at 8:57 AM, William Dunlap via R-help <r-help at r-project.org> wrote: > > Check for leading or trailing spaces in the strings in your data. > dput(dataset) would show them. This function would strip any leading or trailing spaces from a column: trim <- function (s) { s <- as.character(s) s <- sub(pattern =

hi, I have two questions: #first (SPSS vs. R): I just compared the output of different PCA routines in R (pca, prcomp, princomp) with results from SPSS. the loadings of the variables differ vastly! in SPSS the variables load constantly higher than in R. I made sure that both progr. use the correlation matrix as basis. I found the same problem with rotated values (varimax rotation and rtex=T

It looks like your printouts are based on the R summary() function? The function lists the number of cases in the 5 largest categories when the variable is coded as a function. Then it indicates how many other categories are present. This is described on the manual page for function summary(). In the first case the duplicates probably represent cases in your source data (a spreadsheet?), where

Dear R-help list members I gathered longitudinal data on fish behaviour which I try to analyse using a multi level model for change. Mostly, I am following Singer & Willett (2003), who provide also the S/R code for their examples in the book (e.g. http://www.ats.ucla.edu/stat/Splus/examples/alda/ch4.htm). Of course I am interested in change over time, but I am also very much interested in

I''d like to extend bleucloth or redcloth to support custom tags, e.g. I want to use markup like this: [pubmed:18332676] which shall be extended to: <a href="http://www.ncbi.nlm.nih.gov/pubmed/18332676">Behav Pharmacol. 2008 Mar;19(2):121-128.</a> Does anyone know, if this is possible and has some hints how to do this?! I have not decided, wether I want to use

Bleeding-edge story-writers, How are you structuring your specs? I am working on a new project and tried this: ./lib ./blah ./spec ./blah ./stories But it breaks autotest, so I moved stories parallel to lib and spec. Also what about suffixes? I have adopted "xyz_story_spec.rb", and "xyz.story" for the time being, with the line runner =

Hi, after updating my freebsd amd64 box from 9.1 (r250841) to 9.2-RC (r254276) virtualbox crashes the machine. Seconds after starting VBOX the screen freezes and then reboots (probably a trap, cannot see it, as screen is in graphics mode). The kernel modules of vbox have been recompiled. Going back to 9.1 kernel and matching vbox modules works. In both cases VBOX 4.2.16 is used. cheers, Thomas

Dear R-Experts, I was wondering how to fit a cumulative gaussian to a set of empirical data using R. On the R website as well as in the mail archives, I found a lot of help on how to fit a normal density function to empirical data, but unfortunately no advice on how to obtain reasonable estimates of m and sd for a gaussian ogive function. Specifically, I have data from a psychometric function

i thought i'd review some of the newsgroups to see if there were any samba related questions. i've been on it for half an hour now, on _one_ newsgroup (comp.os.linux.networking) - approx 20/25 out of 1841. if anyone follows newsgroups for fun, answering questions, then can i ask you the small favour of occasionally also randomly reviewing this and other suitable newsgroups

Hello, icecast provides something like a plugin for vast ads system? Or we have to custom parse the xml and create some playlist to add a preroll mp3 to another stream live? Thanks. BR

As far as I know, the most common practice is handling the ads insertment at the client side. eg. at the player level. I know that videojs got a vast plugin: https://github.com/googleads/videojs-ima as well as JWPlayer: https://developer.jwplayer.com/jwplayer/docs/jw8-advertising However this method has one drawback, Adblock addons will target most VAST requests and disable the advertisements..

I have would like to use logistic regression to analyze the percentage of correct responses in a 2 alternative forced choice task. The question is whether one needs to take into account the fact expected probabilities for the percentage of correct responses ranges between 0.5 and 1 in this case and how to adjust the link function accordingly in R (see details below). Gabriel Subjects were asked

Hi, I am using wireframe with shade=T and I would like a colour key that matches the colours produced with the option shade=T. How do I do this? Thanks, Karim

Dear R gurus I am running a GLMM that looks at whether chimpanzees spend time in shade more than sun (response variable 'y': used cbind() on counts in the sun and shade) based on the time of day (Time) and the availability of shade (Tertile). I've included some random factors too which are the chimpanzee in question (Individual) and where they are in a given area (Zone). There are