sim_xy: Generate data sets to apply regression methods

In jbkunst/klassets: Tools to simulate data set to teach Statistical Models and ML Algorithms

Generate data sets to apply regression methods

Description

Generate data sets to apply regression methods

Usage

sim_xy(
  n = 500,
  beta0 = 3,
  beta1 = 0.5,
  x_dist = purrr::partial(rnorm, mean = 5, sd = 1),
  error_dist = purrr::partial(rnorm, sd = 0.5)
)

Arguments

n	Number of observations
beta0	beta0, default value: 3,
beta1	beta1, default value: 0.5
x_dist	A random number generation function. Default is a rnorm with mean 5 and sd 1.
error_dist	A random number generation function. Default is a rnorm with mean 0 and sd 0.5.

Examples

df <- sim_xy()

df

plot(df)

klassets:::plot.klassets_xy(setNames(cars, c("x", "y")))

jbkunst/klassets documentation built on Dec. 7, 2022, 9:18 p.m.