
Tidy Distribution Summary Statistics Tibble
Source:R/tidy_distribution_summary_tbl.R
tidy_distribution_summary_tbl.Rd
This function returns a summary statistics tibble. It will use the
y column from the tidy_
distribution function.
Arguments
- .data
The data that is going to be passed from a a
tidy_
distribution function.- ...
This is the grouping variable that gets passed to
dplyr::group_by()
anddplyr::select()
.
Details
This function takes in a tidy_
distribution table and
will return a tibble of the following information:
sim_number
mean_val
median_val
std_val
min_val
max_val
skewness
kurtosis
range
iqr
variance
ci_hi
ci_lo
The kurtosis and skewness come from the package healthyR.ai
Examples
library(dplyr)
#> Warning: package 'dplyr' was built under R version 4.2.3
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
tn <- tidy_normal(.num_sims = 5)
tb <- tidy_beta(.num_sims = 5)
tidy_distribution_summary_tbl(tn)
#> # A tibble: 1 × 12
#> mean_val median_val std_val min_val max_val skewness kurtosis range iqr
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.0531 0.111 1.01 -2.66 3.25 0.128 3.05 5.90 1.35
#> # ℹ 3 more variables: variance <dbl>, ci_low <dbl>, ci_high <dbl>
tidy_distribution_summary_tbl(tn, sim_number)
#> # A tibble: 5 × 13
#> sim_number mean_val median_val std_val min_val max_val skewness kurtosis range
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 0.235 0.235 1.03 -2.47 3.25 0.150 3.79 5.72
#> 2 2 -0.166 -0.209 0.842 -2.34 1.50 -0.254 2.93 3.85
#> 3 3 0.124 0.188 0.851 -1.55 2.04 0.233 2.65 3.60
#> 4 4 -0.0756 -0.117 1.17 -2.37 2.71 0.377 2.77 5.08
#> 5 5 0.148 0.284 1.11 -2.66 2.30 -0.123 2.41 4.96
#> # ℹ 4 more variables: iqr <dbl>, variance <dbl>, ci_low <dbl>, ci_high <dbl>
data_tbl <- tidy_combine_distributions(tn, tb)
tidy_distribution_summary_tbl(data_tbl)
#> # A tibble: 1 × 12
#> mean_val median_val std_val min_val max_val skewness kurtosis range iqr
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.275 0.336 0.778 -2.66 3.25 -0.516 4.65 5.90 0.724
#> # ℹ 3 more variables: variance <dbl>, ci_low <dbl>, ci_high <dbl>
tidy_distribution_summary_tbl(data_tbl, dist_type)
#> # A tibble: 2 × 13
#> dist_type mean_val median_val std_val min_val max_val skewness kurtosis range
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Gaussian… 0.0531 0.111 1.01 -2.66 3.25 0.128 3.05 5.90
#> 2 Beta c(1… 0.497 0.493 0.304 0.00583 0.999 0.0281 1.66 0.993
#> # ℹ 4 more variables: iqr <dbl>, variance <dbl>, ci_low <dbl>, ci_high <dbl>