Parses simple string distribution specifications, like "normal(0, 1)"
, into two columns of
a data frame, suitable for use with the dist
and args
aesthetics of stat_slabinterval()
and its shortcut stats (like stat_halfeye()
). This format is output
by brms::get_prior
, making it particularly useful for visualizing priors from
brms models.
Usage
parse_dist(
object,
...,
dist = ".dist",
args = ".args",
dist_obj = ".dist_obj",
package = NULL,
to_r_names = TRUE
)
# S3 method for default
parse_dist(object, ...)
# S3 method for data.frame
parse_dist(
object,
dist_col,
...,
dist = ".dist",
args = ".args",
dist_obj = ".dist_obj",
package = NULL,
lb = "lb",
ub = "ub",
to_r_names = TRUE
)
# S3 method for character
parse_dist(
object,
...,
dist = ".dist",
args = ".args",
dist_obj = ".dist_obj",
package = NULL,
to_r_names = TRUE
)
# S3 method for factor
parse_dist(
object,
...,
dist = ".dist",
args = ".args",
dist_obj = ".dist_obj",
package = NULL,
to_r_names = TRUE
)
# S3 method for brmsprior
parse_dist(
object,
dist_col = prior,
...,
dist = ".dist",
args = ".args",
dist_obj = ".dist_obj",
package = NULL,
to_r_names = TRUE
)
r_dist_name(dist_name)
Arguments
- object
A character vector containing distribution specifications or a data frame with a column containing distribution specifications.
- ...
Arguments passed to other implementations of
parse_dist
.- dist
The name of the output column to contain the distribution name
- args
The name of the output column to contain the arguments to the distribution
- dist_obj
The name of the output column to contain a distributional object representing the distribution
- package
The package or environment to search for distribution functions in. Passed to
distributional::dist_wrap()
. One of:NULL
: use the calling environmenta string: use the environment for the package with the given name
an environment: use the given environment
- to_r_names
If
TRUE
(the default), certain common aliases for distribution names are automatically translated into names that R can recognize (i.e., names which have functions starting withr
,p
,q
, andd
representing random number generators, distribution functions, etc. for that distribution), using ther_dist_name
function. For example,"normal"
is translated into"norm"
and"lognormal"
is translated into"lnorm"
.- dist_col
A bare (unquoted) column or column expression that resolves to a character vector of distribution specifications.
- lb
The name of an input column (for
data.frame
andbrms::prior
objects) that contains the lower bound of the distribution, which if present will produce a truncated distribution usingdist_truncated()
. Ignored iflb
isNULL
or ifobject[[lb]]
isNA
for the corresponding input row.- ub
The name of an input column (for
data.frame
andbrms::prior
objects) that contains the upper bound of the distribution, which if present will produce a truncated distribution usingdist_truncated()
. Ignored ifub
isNULL
or ifobject[[ub]]
isNA
for the corresponding input row.- dist_name
For
r_dist_name
, a character vector of distribution names to be translated into distribution names R recognizes. Unrecognized names are left as-is.
Value
parse_dist
returns a data frame containing at least two columns named after thedist
andargs
parameters. If the input is a data frame, the output is a data frame of the same length with those two columns added. If the input is a character vector or factor, the output is a two-column data frame with the same number of rows as the length of the input.r_dist_name
returns a character vector the same length as the input containing translations of the input names into distribution names R can recognize.
Details
parse_dist()
can be applied to character vectors or to a data frame + bare column name of the
column to parse, and returns a data frame with ".dist"
and ".args"
columns added.
parse_dist()
uses r_dist_name()
to translate distribution names into names recognized
by R.
r_dist_name()
takes a character vector of names and translates common names into R
distribution names. Names are first made into valid R names using make.names()
,
then translated (ignoring character case, "."
, and "_"
). Thus, "lognormal"
,
"LogNormal"
, "log_normal"
, "log-Normal"
, and any number of other variants
all get translated into "lnorm"
.
See also
See stat_slabinterval()
and its shortcut stats, which can easily make use of
the output of this function using the dist
and args
aesthetics.
Examples
library(dplyr)
# parse dist can operate on strings directly...
parse_dist(c("normal(0,1)", "student_t(3,0,1)"))
#> # A tibble: 2 × 3
#> .dist .args .dist_obj
#> <chr> <list> <dist>
#> 1 norm <list [2]> norm(0, 1)
#> 2 student_t <list [3]> student_t(3, 0, 1)
# ... or on columns of a data frame, where it adds the
# parsed specs back on as columns
data.frame(prior = c("normal(0,1)", "student_t(3,0,1)")) %>%
parse_dist(prior)
#> prior .dist .args .dist_obj
#> 1 normal(0,1) norm 0, 1 norm(0, 1)
#> 2 student_t(3,0,1) student_t 3, 0, 1 student_t(3, 0, 1)
# parse_dist is particularly useful with the output of brms::prior(),
# which follows the same format as above