Access a distribution's probability mass function (pmf).
Usage
eval_pmf(distribution, at)
enframe_pmf(..., at, arg_name = ".arg", fn_prefix = "pmf", 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 thefn_nameand 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_cdf(),
eval_chf(),
eval_density(),
eval_hazard(),
eval_odds(),
eval_quantile(),
eval_return(),
eval_survival()
Examples
d <- dst_pois(5)
eval_pmf(d, at = c(1, 2, 2.5))
#> Warning: non-integer x = 2.500000
#> [1] 0.03368973 0.08422434 0.00000000
enframe_pmf(d, at = 0:4)
#> # A tibble: 5 × 2
#> .arg pmf
#> <int> <dbl>
#> 1 0 0.00674
#> 2 1 0.0337
#> 3 2 0.0842
#> 4 3 0.140
#> 5 4 0.175
eval_pmf(dst_norm(0, 1), at = -3:3)
#> [1] 0 0 0 0 0 0 0