splitbin: Split Grouped Data Into Individual Data

In aod: Analysis of Overdispersed Data

Split Grouped Data Into Individual Data

Description

The function splits grouped data and optional covariates into individual data. Two types of grouped data are managed by splitbin:

• Grouped data with weights;

• Grouped data of form cbind(success, failure).

When weights, successes or failures involve non-integer numbers, these numbers are rounded before splitting.

Usage

  splitbin(formula, data, id = "idbin")
  

Arguments

formula	A formula. The left-hand side represents grouped data. The right-hand side defines the covariates. See examples for syntax.
data	A data frame where all the variables described in formula are found.
id	An optional character string naming the identifier (= grouping factor). Default to “idbin”.

Value

A data frame built according to the formula and function used in the call.

Examples

# Grouped data with weights
mydata <- data.frame(
    success = c(0, 1, 0, 1),
    f1 = c("A", "A", "B", "B"),
    f2 = c("C", "D", "C", "D"),
    n = c(4, 2, 1, 3)
    )
mydata
splitbin(formula = n ~ f1, data = mydata)$tab
splitbin(formula = n ~ f1 + f2 + success , data = mydata)$tab

# Grouped data of form "cbind(success, failure)"
mydata <- data.frame(
    success = c(4, 1),
    failure = c(1, 2),
    f1 = c("A", "B"),
    f2 = c("C", "D")
    )
mydata$n <- mydata$success + mydata$failure
mydata
splitbin(formula = cbind(success, failure) ~ 1, data = mydata)$tab
splitbin(formula = cbind(success, failure) ~ f1 + f2, data = mydata)$tab
splitbin(formula = cbind(success, n - success) ~ f1 + f2, data = mydata)$tab
splitbin(formula = cbind(success, n - 0.5 * failure - success) ~ f1 + f2,
         data = mydata)$tab

aod documentation built on June 22, 2024, 12:21 p.m.