Generate quasi Anscombe data sets Type 4: 2 Clusters

Data sets Type 4 recreate two cluster keeping the coefficient of the original regression model.

Usage

sim_quasianscombe_set_4(df, rescale_to = c(0.1, 0.2), prop = 0.15)

Arguments

df

A data frame from sim_quasianscombe_set_1 (or similar).

rescale_to

Rescale the x value before create the second cluster.

prop

The proportion of value to modify as the second group/cluster.

Details

This function will:

• Disorder the order of x values.

• Rescale the x value to specific original quantiles.

• Then take a proportion of value and translate to left keeping the original mean of x.

• Finally add some value to the associated y value and subtract to the complement group to have the same regression model in terms of coefficients.

Examples

df <- sim_quasianscombe_set_1()

dataset4 <- sim_quasianscombe_set_4(df)

dataset4
#> # A tibble: 500 × 2
#>        x     y
#>    <dbl> <dbl>
#>  1  3.70  5.88
#>  2  3.72  4.39
#>  3  3.72  5.07
#>  4  3.73  4.49
#>  5  3.74  5.41
#>  6  3.74  5.00
#>  7  3.75  4.02
#>  8  3.75  5.12
#>  9  3.75  3.99
#> 10  3.75  4.62
#> # … with 490 more rows

plot(dataset4)


plot(sim_quasianscombe_set_4(df, rescale_to = c(0, .1), prop = 0.5))