Fit scenario parameters by applying a geometric mean

Source: R/fit_distributions.R

Fit scenario parameters by applying a geometric mean

fit_scenarios_geomean(scenario_answers)

Arguments

scenario_answers

Scenario answers dataframe.

Value

A dataframe.

See also

Other distribution fitting functions: combine_lognorm_trunc(), combine_lognorm(), combine_norm(), fit_capabilities_geomean(), fit_capabilities(), fit_lognorm_trunc(), fit_lognorm(), fit_norm_trunc(), fit_pois(), fit_scenarios(), fit_threat_communities(), generate_cost_function(), lognormal_to_normal(), normal_to_lognormal()

Examples

data(mc_scenario_answers)
fit_scenarios_geomean(mc_scenario_answers)

#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> Warning: Non-positive values in 'x'
#> # A tibble: 56 x 11
#>    scenario_id imp_low imp_high impact_func impact_meanlog impact_sdlog freq_low
#>    <chr>         <dbl>    <dbl> <chr>                <dbl>        <dbl>    <dbl>
#>  1 RS-01             1 3000000. stats::rln…           1.41         8.21        1
#>  2 RS-02             1 3000000. stats::rln…           1.41         8.21       10
#>  3 RS-03             1 3000000. stats::rln…           1.41         8.21       10
#>  4 RS-04             1 3000000. stats::rln…           1.41         8.21       10
#>  5 RS-05             1 3000000. stats::rln…           1.41         8.21       10
#>  6 RS-06             1 3000000. stats::rln…           1.41         8.21       10
#>  7 RS-07             1 3000000. stats::rln…           1.41         8.21       10
#>  8 RS-08             1 3000000. stats::rln…           1.41         8.21       10
#>  9 RS-09             1 3000000. stats::rln…           1.41         8.21       10
#> 10 RS-10             1 3000000. stats::rln…           1.41         8.21       10
#> # … with 46 more rows, and 4 more variables: freq_high <dbl>,
#> #   frequency_func <chr>, frequency_meanlog <dbl>, frequency_sdlog <dbl>