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 0.214 -3.69 0.000234 0.585 0.214
#> 2 1 2 1.09 -3.53 0.000741 0.862 1.09
#> 3 1 3 -2.54 -3.37 0.00198 0.00549 -2.54
#> 4 1 4 -1.01 -3.21 0.00446 0.157 -1.01
#> 5 1 5 -1.15 -3.06 0.00849 0.124 -1.15
#> 6 1 6 -0.705 -2.90 0.0137 0.240 -0.705
#> 7 1 7 -0.307 -2.74 0.0187 0.380 -0.307
#> 8 1 8 -0.414 -2.58 0.0223 0.339 -0.414
#> 9 1 9 0.586 -2.43 0.0246 0.721 0.586
#> 10 1 10 -1.47 -2.27 0.0282 0.0713 -1.47
#> # 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.
