
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)
#>
#> 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 -0.106 -0.0414 0.936 -2.71 3.09 0.0808 3.01 5.81 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 -0.158 -0.0498 0.838 -2.51 1.57 -0.224 2.85 4.08
#> 2 2 -0.248 -0.284 1.05 -2.71 2.39 -0.0132 3.02 5.11
#> 3 3 0.0799 0.170 0.889 -1.71 2.22 0.0760 2.57 3.93
#> 4 4 -0.233 -0.352 0.945 -1.89 3.09 0.844 4.55 4.99
#> 5 5 0.0309 0.104 0.932 -1.67 1.71 -0.194 1.98 3.39
#> # 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 0.182 0.330 0.749 -2.71 3.09 -0.732 4.33 5.81 0.693
#> # 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 … -0.106 -0.0414 0.936 -2.71 3.09 0.0808 3.01 5.81
#> 2 Beta c(1,… 0.470 0.464 0.287 0.0109 0.997 0.118 1.82 0.986
#> # ℹ 4 more variables: iqr <dbl>, variance <dbl>, ci_low <dbl>, ci_high <dbl>