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()