Split Grouped Data Into Individual Data
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.
splitbin(formula, data, id = "idbin")
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 |
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
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)$tabPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.