histx: Midpoint-Based Data Creation for a Histogram

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

Midpoint-Based Data Creation for a Histogram

Description

Given the breaks and the number of observations, a data set is generated with stats::runif(), using the class mids: x_i = class\_mid_j + alpha*class\_width_j/2. The default alpha=0.99 ensures that generated observations do not lie on the class borders.

Usage

histx(breaks, n, alpha = 0.99)

gen_mid(breaks, n, alpha = 0.99)

dhistx(breaks, n, alpha = 0.99)

Arguments

breaks	numeric: class borders
n	numeric: number of observations in each class
alpha	numeric: how far the generated observations can be away from the class mids (default: 0.99)

Value

The generated data set.

Examples

breaks <- sort(sample(seq(0.1, 0.9, by=0.1), 4))
bins   <- length(breaks)-1
n      <- rmultinom(1, size=100, prob=ddiscrete(runif(bins)))
histx(breaks, n) 

exams.forge documentation built on Aug. 21, 2025, 5:41 p.m.