norm2likert: Convert normal to likert

In faux: Simulation for Factorial Designs

Convert normal to likert

Description

Convert normal to likert

Usage

norm2likert(x, prob, labels = names(prob), mu = mean(x), sd = stats::sd(x))

Arguments

x	the normally distributed vector
prob	a vector of probabilities or counts; if named, the output is a factor
labels	a vector of values, defaults to names(prob) or 1:length(prob), if numeric, the output is numeric
mu	the mean of x (calculated from x if not given)
sd	the SD of x (calculated from x if not given)

Value

a vector with the specified distribution

Examples

x <- rnorm(10000)
y <- norm2likert(x, c(.1, .2, .35, .2, .1, .05))
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")

y <- norm2likert(x, c(40, 30, 20, 10))
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")

y <- norm2likert(x, c(lower = .5, upper = .5))
g <- ggplot2::ggplot() + ggplot2::geom_point(ggplot2::aes(x, y))
ggExtra::ggMarginal(g, type = "histogram")

faux documentation built on April 20, 2023, 9:13 a.m.