Split Grouped Data Into Individual Data
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.
splitbin(formula, data, id = "idbin")
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 |
id |
An optional character string naming the identifier (= grouping factor). Default to “idbin”. |
A data frame built according to the formula and function used in the call.
# 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)$tabPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.