
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 -0.0647 -0.00657 1.03 -3.47 2.74 -0.213 2.93 6.21 1.37
#> # 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 -0.187 -0.294 1.08 -2.16 2.74 0.409 2.61 4.90
#> 2 2 -0.171 -0.171 0.918 -2.67 2.03 -0.0572 3.38 4.71
#> 3 3 -0.101 0.0363 1.06 -2.68 1.54 -0.652 2.84 4.22
#> 4 4 0.0619 -0.0397 1.03 -1.97 1.82 -0.142 1.98 3.79
#> 5 5 0.0737 0.155 1.05 -3.47 2.05 -0.663 4.38 5.53
#> # 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 0.218 0.356 0.806 -3.47 2.74 -1.00 4.83 6.21 0.730
#> # 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… -0.0647 -0.00657 1.03 -3.47 2.74 -0.213 2.93 6.21
#> 2 Beta c(1… 0.500 0.509 0.296 0.00622 0.999 -0.00510 1.83 0.992
#> # ℹ 4 more variables: iqr <dbl>, variance <dbl>, ci_low <dbl>, ci_high <dbl>