similar to: Questionnaire Analysis virtually without continuous Variables

Hello there! I am still struggling with a binomial response over all categorical variables (some of them with 3 levels, most with 2 levels). After initial struggles with glm's (struggle coming from the data, not the actual analysis) I have decided to prefer contingency tables. I have my data such as: response:

hello list! I'm sorry, I just stumbled over this strange behaviour (at least I am not able to explain the behaviour, therefore I assume it to be a strange behaviour): attach(water) # I know, this is not recommended names(water[3:10]) [1] "temp" "pH" "DO" "BOD" "COD" "no3" "no2" "po4" for (i in

Hi R-users I would like to extract the random effects ("1|SITE", "1+SPECIES|SITE" and "BA|SITE") from this model formula: Full_model <- formula (VAR ~ (1|SITE) + (1+SPECIES|SITE) + (BA|SITE) + HEIGHT + COND + NN_DIST) I tried: terms(Full_model) labels(terms(Full_model)) but I could not distinguish between random and fixed effects. thanks

dear list! I KNOW this has been answered a million times before. But, as some might remember from their "freelance" times as a statistic consultant, sometimes you're blinded by the facts. I KNOW I have seen this problem solved, but due to the mental blockade i have been suffering from the last 3 hours, I can neither find the answer on the mailing list nor on google. I wrote a

i'm sorry to bother but... sometimes theres an attachment in the posts on the list, a single file called: Teil 1.2 whys that? i dont want to open it to find out, as i have used computers before ;) therefore i suspect it to be either some security problem OR to be the alternative HTML version that is claimed to have been deleted. any light-shedding would be appreciated!

hello dear list! since we want to do a model analysis and some people would like to see pseudo-R^2 values for different types of glm of a logistic regression, i've decided to write a function that computes either nagelkerkes normed pseudo-R or cox & snells pseudo-R. however, i am not clear as in the decisive step, i need to calculate the log of (maximum likelihood estimates of model

hello dear list! as I am currently helping someone with their statistical analysis of a count survey, I stumbled upon a very basic question upon model optimization: when fitting a model like: model<-lmer(abundance~(x+y+z)^3,family=poisson,...) in which x,y,z are continuous abiotic parameters such as po4 concentration, no2-concentration, which terms / interaction terms would you recommend

Hi R users, Is there a Package in R to - set up a questionnaire? - enter data? Best regards -- View this message in context: http://www.nabble.com/A-package-to-set-up-a-questionnaire---enter-data-tp20947237p20947237.html Sent from the R help mailing list archive at Nabble.com.

[Sorry for cross-posting] Hi everybody, I am part of the Spatial Information Systems Group in University College Dublin. We are conducting a survey on Open-Source technologies with particular focus on Geo-Spatial projects. Our goal is to collect first-hand knowledge about a number of Open- Source projects active on the Internet. With this work we hope to identify strong and weak points of each

Dear useRs from the physiology department, Does someone know of an implementation of the SF-36 questionnaire scoring in R? I only found SAS and STATA versions, e.g http://gim.med.ucla.edu/FacultyPages/Hays/util.htm Dieter

[Apologies for cross-posting] Hi everybody, I am part of the Spatial Information Systems Group in University College Dublin. Our goal is to collect first-hand knowledge about a number of Open- Source projects active on the Internet. With this work we hope to identify strong and weak points of each project in order to give some guidelines for future directions to the Open-Source community and

<R-help@r-project.org>Dear lister, I am delighted to introduce you to an open souce software to make online survey/questionnaire. online.QTAFI has been developed by Martin Guist in INCHER-Kassel since 2003. The questionnaire data are also available to download in R script. More about online.QTAFI please visit the documentation site: http://www.hochschulforschung.uni-kassel.de/qtafidocs/

dear experts, I reproduced an experiment (questionnaire) some times. The result of the experiment is a vector of 5 factors, say (A,B,C,D,E). In the original article the result is given in 5 pairs of mean and stDev for A .. E, e.g. mean_A=37.4 and sd_A=8.1. The interval for A,B,C,D,E values is 0..50. The original data frame is not available. For a comparison of my results

Hello, Can you say me which is the key to add in the registry for Windows XP to Enable Plain Text Password? Best Regards

Dear Sacha, use glm() in this case. I'd rather code the covariable as TRUE / FALSE or as a factor. Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkelinx at inbo.be

Dear R-experts, I am trying to fit a GAM with 2 binary predictors (variables coded 0,1). I guess I cannot just smooth binary variables. By the way I code them as 0=no,1=yes, then mgcv will think those variables are numeric.? I have tried to change 0 and 1 in no and yes. It does not work. How to solve my problem. Here below my toy example. Many thanks. Best, Sacha ? ########################

I would like to develop a new mailbox format for a very specialized application. Can anyone point me in the appropriate direction to get started writing a plugin? More detail for anyone interested: I need to store mail in a format that's quickly accessible and modifiable to an external process. This is for a very low-volume mail system (averaging less than 50 messages stored at any one

R-experts, I have fitted many different lines. The fast-tau estimator (yellow line) seems strange to me?because this yellow line is not at all in agreement with the other lines (reverse slope, I mean the yellow line has a positive slope and the other ones have negative slope). Is there something wrong in my R code ? Is it because the Y variable is 1 vector and should be a matrix ? Here is the

Hi Rui, Many thanks. The R code works BUT the results I get are quite weird I guess ! MIC = 0.2650 Normal 95% CI = (0.9614, 1.0398) The MIC is not inside the confidence intervals ! Is there something wrong in the R code ? Here is the reproducible example : ########## C=c(2,4,5,6,3,4,5,7,8,7,6,5,6,7,7,8,5,4,3,2) D=c(3,5,4,6,7,2,3,1,2,4,5,4,6,4,5,4,3,2,8,9) library(minerva) mine(C,D)$MIC

Dear R-experts, Here below my R code. The warning message is not a problem to me but there is an error message more problematic. I understand the error message but I don't know if it is possible to correct the error and if yes, how to correct it. Many thanks. n <- 60 b <- runif(n, 0, 5) a <- runif(n, 0, 5) z <- rnorm(n*0.95,2,3) + rnorm(n*0.05,2,9) y_model <- 0.1 * b - 0.5 *