[R] Question on funcion and npar

Dear everyone, The following function, taken from Quick-R, gets measures of central tendency and spread for a numeric vector x. I can't figure out what the argument npar means in each instance. Any tips will be most appreciated. mysummary <- function(x, npar=TRUE, print=TRUE) { if (!npar) {

[R] Multinomial model and p-values

Hello everyone, I have a dataset which consists of "Pathology scores" (Absent, Mild, Severe) as outcome variable, and two main effects: Age (two factors: twenty / thirty days old) and Treatment Group (four factors: infected without ATB; infected + ATB1; infected + ATB2; infected + ATB3). First I

[R] Subsetting dataframe with missing values

Dear R-community, I am using R (V 2.14.1) on Windows 7. I have a dataset which consists of 19 variables for 91 individuals or rows. Two of my variables are Age (adult/chick, with no NA values) and Sex (0 for females/1 for females, with quite a few NA values). The sex of many adult birds is unknow

[R] Multivariable model

Hello r-list members, I've been doing some linear modeling with a dataset structured as follows. Tubes containing 500 larvae of Trichinella each were treated with one of four different temperatures. Each day (or every 10 days depending on treatment group), 3 tubes were selected from each treatmen

[R] Predict from glm

Dear list members, I fitted a glm model (See output below). My outcome is death, and weight (continuous), ClutchSize (3-level factor), EggVolume (continuous), Sex (obviously 2-level factor), and SiblingCompetence (2-level factor) are my covariates. I'd like to obtain the odds of death for a

[R] Zero-inflated Negat. Binom. model

Dear R crew: I am sorry this question has been posted before, but I can't seem to solve this problem yet. I have a simple dataset consisting of two variables: cestode intensity and chick size (defined as CAPI). Intensity is a count and clearly overdispersed, with way too many zeroes. I'm inte

[R] Zero inflated negat. binomial model

Dear R crew: I think I am in the right mailing list. I have a very simple dataset consisting of two variables: cestode intensity and chick size (defined as CAPI). Intensity is clearly overdispersed, with way too many zeroes. I'm interested in looking at the association between these two variab

[R] Dummy variables or factors?

Dear R-people, I am analyzing epidemiological data using GLMM using the lmer package. I usually explore the assumption of linearity of continuous variables in the logit of the outcome by creating 4 categories of the variable, performing a bivariate logistic regression, and then plotting the co

[R] Model building using lmer

Dear R-experts, Quite new to R on this end, but learning fast (I hope). I am running version 2.7.1 on Windows Vista. I have small dataset which consists of: # NestID: nest indicator for each chicken. Siblings sharing the same nest have the same nest indicator. # Chick: chick indicator consis

[R] GLMM using lme4

Dear R-experts, I am running R version 2.7.1 on Windows Vista. I have a small dataset which consists of “chick ID”, “year (0, 1)”, “hatching order [HO, defined as first, second and third-hatched chick]”, and the binary outcome of interest “death (0, 1)”. So a subset of my dataset looks like th

Re: [R] Epicalc package

Dear David, Thank you very much for your help! I think I have solved the issue. Lucho --- On Fri, 11/14/08, David Winsemius <[EMAIL PROTECTED]> wrote: From: David Winsemius <[EMAIL PROTECTED]> Subject: Re: [R] Epicalc package To: "Luciano La Sala" <[EMAIL PROTE

[R] Epicalc package

Dear R-friends,   I am using the epicalc package and the manual by V. Chongsuvivatwong "Analysis of epidemiological data using R and Epicalc" to get the hang of some basic epidemiological analyses.      After running all the analyses of chapter 7, one is supposed to wrap it up by saving the dat

[R] Coefficients, OR and 95% CL

Dear R-users, After running a logistic regression, I need to calculate OR by exponentiating the coefficient, and then I need the 95% CL for the OR as well. For the following example (taken from P. Dalaagard's book), what would be the most straightforward method of getting what I need? Could any

[R] Basic help needed

Hello all, New user here. I have R 2.7.1. installed, but don’t have internet access in my PC. Therefore, I downloaded the ISwR package (Introductory Statistics with R) from CRAN and then moved it into my HD. I can’t seem to install the local package under Windows Vista system. I've tried using