| tidy-format-translators {ggdist} | R Documentation | 
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()