cdf: Cumulative Distribution Function

In vincenzocoia/distionary: Create and Evaluate Probability Distributions

Cumulative Distribution Function

Description

Access a distribution's cumulative distribution function (cdf).

Usage

eval_cdf(distribution, at)

enframe_cdf(..., at, arg_name = ".arg", fn_prefix = "cdf", sep = "_")

Arguments

distribution, ...	A distribution, or possibly multiple distributions in the case of ....
at	Vector of values to evaluate the representation at.
arg_name	For enframe_, name of the column containing the function arguments. Length 1 character vector.
fn_prefix	For enframe_, name of the function to appear in the column(s). Length 1 character vector.
sep	When enframe'ing more than one distribution, the character that will be separating the fn_name and the distribution name. Length 1 character vector.

Value

The evaluated representation in vector form (for eval_) with length matching the length of at, and data frame or tibble form (for enframe_) with number of rows matching the length of at. The at input occupies the first column, named .arg by default, or the specification in arg_name; the evaluated representations for each distribution in ... go in the subsequent columns (one column per distribution). For a single distribution, this column is named according to the representation by default (cdf, survival, quantile, etc.), or the value in fn_prefix. For multiple distributions, unnamed distributions are auto-named, and columns are named ⁠<fn_prefix><sep><distribution_name>⁠ (e.g., cdf_distribution1).

See Also

Other distributional representations: eval_chf(), eval_density(), eval_hazard(), eval_odds(), eval_pmf(), eval_quantile(), eval_return(), eval_survival()

Examples

d1 <- dst_unif(0, 4)
d2 <- dst_pois(1.1)
eval_cdf(d1, at = 0:4)
enframe_cdf(d1, at = 0:4)
enframe_cdf(d1, d2, at = 0:4)
enframe_cdf(model1 = d1, model2 = d2, at = 0:4)
enframe_cdf(
  model1 = d1, model2 = d2, at = 0:4, arg_name = "value"
)

vincenzocoia/distionary documentation built on Feb. 26, 2025, 11:09 a.m.