tidy-format-translators: Translate between different tidy data frame formats for draws...

In ggdist: Visualizations of Distributions and Uncertainty

Translate between different tidy data frame formats for draws from distributions

Description

These functions translate ggdist/tidybayes-style data frames to/from different data frame formats (each format using a different naming scheme for its columns).

Usage

to_broom_names(data)

from_broom_names(data)

to_ggmcmc_names(data)

from_ggmcmc_names(data)

Arguments

data	A data frame to translate.

Details

Function prefixed with to_ translate from the ggdist/tidybayes format to another format, functions prefixed with from_ translate from that format back to the ggdist/tidybayes format. Formats include:

to_broom_names() / from_broom_names():

• .variable <-> term

• .value <-> estimate

• .prediction <-> .fitted

• .lower <-> conf.low

• .upper <-> conf.high

to_ggmcmc_names() / from_ggmcmc_names():

• .chain <-> Chain

• .iteration <-> Iteration

• .variable <-> Parameter

• .value <-> value

Value

A data frame with (possibly) new names in some columns, according to the translation scheme described in Details.

Author(s)

Matthew Kay

Examples

library(dplyr)

data(RankCorr_u_tau, package = "ggdist")

df = RankCorr_u_tau %>%
  dplyr::rename(.variable = i, .value = u_tau) %>%
  group_by(.variable) %>%
  median_qi(.value)

df

df %>%
  to_broom_names()

ggdist documentation built on Nov. 27, 2023, 9:06 a.m.