aods3 (version 0.4-1.2)

splitbin: Split Grouped Data Into Individual Data

Description

The function splits grouped binomial data and optional covariates to individual binary 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 (using round()) before splitting.

Usage

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

Value

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

Arguments

formula

A formula. The left-hand side describes the grouped data. The right-hand side describes 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”.

Examples

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

# grouped data of form "cbind(success, failure)"
z <- data.frame(
    m = c(4, 1),
    n = c(5, 3),
    f1 = c("A", "B"),
    f2 = c("C", "D")
    )
z
splitbin(formula = cbind(m, n - m) ~ 1, data = z)$tab
splitbin(formula = cbind(m, n - m) ~ f1 + f2, data = z)$tab
splitbin(formula = cbind(m, n - m) ~ f1 + f2, data = z)$tab