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Calculate Credible Intervals

Source: R/summarise.R
calc_CrIs.Rd

[Stable] Adds symmetric credible intervals based on quantiles.

Usage

calc_CrIs(samples, summarise_by = NULL, CrIs = c(0.2, 0.5, 0.9))

Arguments

samples

A data.table containing at least a value variable

summarise_by

A character vector of variables to group by.

CrIs

Numeric vector of credible intervals to calculate.

Value

A data.table containing the summarise_by variables and the specified lower and upper credible intervals.

Examples

samples <- data.frame(value = 1:10, type = "car")
# add credible intervals
calc_CrIs(samples)
#> Key: <.>
#>         . lower_90 lower_50 lower_20 upper_20 upper_50 upper_90
#>    <char>    <num>    <num>    <num>    <num>    <num>    <num>
#> 1:      .     1.45     3.25      4.6      6.4     7.75     9.55
# add 90% credible interval grouped by type
calc_CrIs(samples, summarise_by = "type")
#> Key: <type>
#>      type lower_90 lower_50 lower_20 upper_20 upper_50 upper_90
#>    <char>    <num>    <num>    <num>    <num>    <num>    <num>
#> 1:    car     1.45     3.25      4.6      6.4     7.75     9.55