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 0.0462 0.0747 0.966 -2.82 2.80 0.0744 3.12 5.61 1.29
#> # 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 0.200 0.120 0.928 -2.29 2.38 0.142 3.21 4.67
#> 2 2 -0.0698 -0.0932 0.868 -2.82 1.53 -0.422 3.55 4.35
#> 3 3 -0.0250 0.0539 0.869 -2.25 1.97 -0.141 2.92 4.22
#> 4 4 -0.0324 -0.120 1.17 -2.13 2.80 0.542 2.93 4.93
#> 5 5 0.158 0.299 0.969 -1.93 2.29 -0.264 2.58 4.22
#> # 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 0.294 0.393 0.754 -2.82 2.80 -0.662 4.67 5.61 0.757
#> # 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… 0.0462 0.0747 0.966 -2.82 2.80 0.0744 3.12 5.61
#> 2 Beta c(1… 0.543 0.577 0.290 0.00230 0.999 -0.190 1.75 0.996
#> # ℹ 4 more variables: iqr <dbl>, variance <dbl>, ci_low <dbl>, ci_high <dbl>