Translate between different tidy data frame formats for draws from distributions
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)
data |
A data frame to translate. |
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
A data frame with (possibly) new names in some columns, according to the translation scheme described in Details.
Matthew Kay
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()
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