glmmBUGS (version 2.4.2)

binToBinom: Convert Bernoulli observations to Binomial

Description

Combines multiple Bernoulli observations with the same covariates into one Binomial response

Usage

binToBinom(obs, covariates)

Arguments

obs

logical vector of observations

covariates

Data frame or matrix of covariates

Value

A data frame with one row for each unique value for the covariates, including the covariates and the following additional columns:

y

Number of positive observations for the corresponding covariate values

N

Total number of observations for these covariates

Examples

# NOT RUN {
  thedata = data.frame(sex = rep(c("m", "f"), 10), age=rep(c(20,30), c(10, 10)))
  y = rbinom(dim(thedata)[1], 1, 0.5)
  bindata = binToBinom(y, thedata)
  bindata$zeros = bindata$N - bindata$y
  glm(as.matrix(bindata[,c("y", "zeros")]) ~ sex, data=bindata, family=binomial)
# }