Print draws_rvars objects

Pretty printing for draws_rvars objects.

Usage

# S3 method for class 'draws_rvars'
print(
  x,
  digits = 2,
  max_variables = getOption("posterior.max_variables", 8),
  summary = getOption("posterior.rvar_summary", "mean_sd"),
  reserved = FALSE,
  ...
)

Arguments

x

(draws) A draws object or another R object for which the method is defined.

digits

(nonnegative integer) The minimum number of significant digits to print. If NULL, defaults to getOption("posterior.digits", 2).

max_variables

(positive integer) The maximum number of variables to print. Can be controlled globally via the "posterior.max_variables" option.

summary

(string) The style of summary to display:

• "mean_sd" displays mean ± sd

• "median_mad" displays median ± mad

• "mode_entropy" displays mode <entropy>, and is used automatically for rvar_factors. It shows normalized entropy, which ranges from 0 (all probability in one category) to 1 (uniform). See entropy().

• "mode_dissent" displays mode <dissent>, and is used automatically for rvar_ordereds. It shows Tastle and Wierman's (2007) dissention measure, which ranges from 0 (all probability in one category) through 0.5 (uniform) to 1 (bimodal: all probability split equally between the first and last category). See dissent().

• NULL uses getOption("posterior.rvar_summary") (default "mean_sd)

reserved

(logical) Should reserved variables be included in the output? Defaults to FALSE. See reserved_variables for an overview of currently reserved variable names.

...

Further arguments passed to the underlying print() methods.

Value

A draws object of the same class as x.

Examples

x <- as_draws_rvars(example_draws())
print(x)
#> # A draws_rvars: 100 iterations, 4 chains, and 3 variables
#> $mu: rvar<100,4>[1] mean ± sd:
#> [1] 4.2 ± 3.4 
#> 
#> $tau: rvar<100,4>[1] mean ± sd:
#> [1] 4.2 ± 3.6 
#> 
#> $theta: rvar<100,4>[8] mean ± sd:
#> [1] 6.7 ± 6.3  5.3 ± 4.6  3.0 ± 6.8  4.9 ± 4.9  3.2 ± 5.1  4.0 ± 5.2  6.5 ± 5.3 
#> [8] 4.6 ± 5.3 
#>