Getting Started with TidyDensity
Example
This is a basic example which shows you how easy it is to generate
data with {TidyDensity}:
library(TidyDensity)
library(dplyr)
library(ggplot2)
tidy_normal()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.0917 -3.16 0.000229 0.537 0.0917
#> 2 1 2 0.790 -3.01 0.000639 0.785 0.790
#> 3 1 3 -0.297 -2.87 0.00156 0.383 -0.297
#> 4 1 4 1.09 -2.73 0.00337 0.863 1.09
#> 5 1 5 -0.567 -2.59 0.00642 0.285 -0.567
#> 6 1 6 -0.702 -2.45 0.0109 0.241 -0.702
#> 7 1 7 0.608 -2.30 0.0168 0.728 0.608
#> 8 1 8 -1.27 -2.16 0.0242 0.102 -1.27
#> 9 1 9 -0.420 -2.02 0.0338 0.337 -0.420
#> 10 1 10 -0.561 -1.88 0.0476 0.287 -0.561
#> # ℹ 40 more rowsAn example plot of the tidy_normal data.
We can also take a look at the plots when the number of simulations is greater than nine. This will automatically turn off the legend as it will become too noisy.
