posterior (version 1.2.1)

print.rvar: Print or format a random variable

Description

Printing and formatting methods for rvars.

Usage

# S3 method for rvar
print(x, ..., summary = NULL, digits = 2, color = TRUE)
# S3 method for rvar
format(x, ..., summary = NULL, digits = 2, color = FALSE)
# S3 method for rvar
str(
  object,
  ...,
  summary = NULL,
  vec.len = NULL,
  indent.str = paste(rep.int(" ", max(0, nest.lev + 1)), collapse = ".."),
  nest.lev = 0,
  give.attr = TRUE
)

Arguments

x, object

(rvar) The rvar to print.

...

Further arguments passed to the underlying print() methods.

summary

(string) The style of summary to display: "mean_sd" displays mean<U+00B1>sd, "median_mad" displays median<U+00B1>mad. If NULL, getOption("posterior.rvar_summary") is used (default "mean_sd).

digits

(nonnegative integer) The minimum number of significant digits to print.

color

(logical) Whether or not to use color when formatting the output. If TRUE, the pillar::style_num() functions may be used to produce strings containing control sequences to produce colored output on the terminal.

vec.len

(nonnegative integer) How many 'first few' elements are displayed of each vector. If NULL, defaults to getOption("str")$vec.len, which defaults to 4.

indent.str

(string) The indentation string to use.

nest.lev

(nonnegative integer) Current nesting level in the recursive calls to str().

give.attr

(logical) If TRUE (default), show attributes as sub structures.

Value

For print(), an invisible version of the input object.

For str(), nothing; i.e. invisible(NULL).

For format(), a character vector of the same dimensions as x where each entry is of the form "mean<U+00B1>sd" or "median<U+00B1>mad", depending on the value of summary.

Details

print() and str() print out rvar objects by summarizing each element in the random variable with either its mean<U+00B1>sd or median<U+00B1>mad, depending on the value of summary. Both functions use the format() implementation for rvar objects under the hood, which returns a character vector in the mean<U+00B1>sd or median<U+00B1>mad form.

Examples

# NOT RUN {
set.seed(5678)
x = rbind(
  cbind(rvar(rnorm(1000, 1)), rvar(rnorm(1000, 2))),
  cbind(rvar(rnorm(1000, 3)), rvar(rnorm(1000, 4)))
)

print(x)
print(x, summary = "median_mad")

str(x)

format(x)

# }