Print output from summarise_draws().
# S3 method for draws_summary
print(x, ..., num_args = NULL)(draws_summary) A "draws_summary" object as output by summarise_draws().
Additional arguments passed to tibble::print.tbl_df()
(named list) Optional arguments passed to
num() for pretty printing of summaries. If NULL
(the default), uses the arguments stored in the "num_args" attribute of
x, as set by the .num_args argument of summarise_draws(), which
itself can be controlled globally via the posterior.num_args
option.
An invisible version of the input object.
x <- example_draws("eight_schools")
# adjust how summaries are printed when calling summarise_draws()...
summarise_draws(x, .num_args = list(sigfig = 2, notation = "dec"))
#> # A tibble: 10 × 10
#> variable mean median sd mad q5 q95 rhat ess_bulk ess_tail
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 mu 4.2 4.2 3.4 3.6 -0.85 9.4 1.0 558. 322.
#> 2 tau 4.2 3.1 3.6 2.9 0.31 11. 1.0 246. 202.
#> 3 theta[1] 6.7 6.0 6.3 4.9 -1.2 19. 1.0 400. 254.
#> 4 theta[2] 5.3 5.1 4.6 4.3 -2.0 13. 1.0 564. 372.
#> 5 theta[3] 3.0 4.0 6.8 4.9 -10. 12. 1.0 312. 205.
#> 6 theta[4] 4.9 5.0 4.9 4.5 -3.6 12. 1.0 695. 252.
#> 7 theta[5] 3.2 3.7 5.1 4.4 -5.9 11. 1.0 523. 306.
#> 8 theta[6] 4.0 4.1 5.2 4.8 -4.3 12. 1.0 548. 205.
#> 9 theta[7] 6.5 5.9 5.3 4.5 -1.2 15. 1.0 434. 308.
#> 10 theta[8] 4.6 4.6 5.3 4.9 -3.8 12. 1.0 355. 146.
# ... or when printing
s <- summarise_draws(x)
print(s, num_args = list(sigfig = 2, notation = "dec"))
#> # A tibble: 10 × 10
#> variable mean median sd mad q5 q95 rhat ess_bulk ess_tail
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 mu 4.2 4.2 3.4 3.6 -0.85 9.4 1.0 558. 322.
#> 2 tau 4.2 3.1 3.6 2.9 0.31 11. 1.0 246. 202.
#> 3 theta[1] 6.7 6.0 6.3 4.9 -1.2 19. 1.0 400. 254.
#> 4 theta[2] 5.3 5.1 4.6 4.3 -2.0 13. 1.0 564. 372.
#> 5 theta[3] 3.0 4.0 6.8 4.9 -10. 12. 1.0 312. 205.
#> 6 theta[4] 4.9 5.0 4.9 4.5 -3.6 12. 1.0 695. 252.
#> 7 theta[5] 3.2 3.7 5.1 4.4 -5.9 11. 1.0 523. 306.
#> 8 theta[6] 4.0 4.1 5.2 4.8 -4.3 12. 1.0 548. 205.
#> 9 theta[7] 6.5 5.9 5.3 4.5 -1.2 15. 1.0 434. 308.
#> 10 theta[8] 4.6 4.6 5.3 4.9 -3.8 12. 1.0 355. 146.
print(s, num_args = list(digits = 3))
#> # A tibble: 10 × 10
#> variable mean median sd mad q5 q95 rhat ess_bulk ess_tail
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 mu 4.180 4.164 3.402 3.570 -0.854 9.387 1.022 558.017 322.096
#> 2 tau 4.164 3.072 3.576 2.892 0.309 11.038 1.015 246.373 202.023
#> 3 theta[1] 6.749 5.973 6.301 4.875 -1.231 18.874 1.014 400.180 253.919
#> 4 theta[2] 5.253 5.133 4.633 4.250 -1.967 12.536 1.015 564.254 371.803
#> 5 theta[3] 3.044 3.985 6.800 4.938 -10.313 11.877 1.014 312.057 205.244
#> 6 theta[4] 4.858 4.992 4.919 4.510 -3.569 12.200 1.023 694.771 251.894
#> 7 theta[5] 3.223 3.722 5.084 4.377 -5.930 10.822 1.005 522.883 305.761
#> 8 theta[6] 3.987 4.137 5.156 4.808 -4.323 11.535 1.020 548.162 204.756
#> 9 theta[7] 6.503 5.902 5.264 4.545 -1.190 15.375 1.004 434.005 308.006
#> 10 theta[8] 4.565 4.637 5.252 4.889 -3.794 12.243 1.023 355.380 146.273