grouped_data: Central Tendency Measures' Computation of Grouped Data

In exams.forge: Support for Compiling Examination Tasks using the 'exams' Package

Central Tendency Measures' Computation of Grouped Data

Description

Computes mean, mode or quantile/median of grouped data.

Usage

grouped_data(x, n, compute = c("mean", "fine", "coarse"), tol = 1e-06)

grouped_stats(x, n, compute = c("mean", "fine", "coarse"), tol = 1e-06)

dgrouped(x, n, compute = c("mean", "fine", "coarse"), tol = 1e-06)

Arguments

x	numeric: borders
n	numeric: absolute frequencies for each group
compute	numeric/character: coefficient to compute
tol	numeric: tolerance for numerical comparison

Value

A list with the class, result and a table.

Examples

x <- 1:4
n <- ddiscrete(runif(3))
grouped_data(x, n)

exams.forge documentation built on Sept. 11, 2024, 5:32 p.m.