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

to_broom_names(data)

from_broom_names(data)

to_ggmcmc_names(data)

from_ggmcmc_names(data)

Arguments

data

A data frame to translate.

Value

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

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

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
#> # A tibble: 3 x 7 #> .variable .value .lower .upper .width .point .interval #> <int> <dbl> <dbl> <dbl> <dbl> <chr> <chr> #> 1 1 5.62 3.86 8.03 0.95 median qi #> 2 2 5.48 3.46 9.07 0.95 median qi #> 3 3 4.96 3.10 7.86 0.95 median qi
df %>% to_broom_names()
#> # A tibble: 3 x 7 #> term estimate conf.low conf.high .width .point .interval #> <int> <dbl> <dbl> <dbl> <dbl> <chr> <chr> #> 1 1 5.62 3.86 8.03 0.95 median qi #> 2 2 5.48 3.46 9.07 0.95 median qi #> 3 3 4.96 3.10 7.86 0.95 median qi