The normalise module — normalise • tidyindex

The normalise module takes a probability value from a distribution fit norm_quantile() to convert based on the normal quantile function

Usage

normalise(data, ...)

norm_quantile(var)

Arguments

data: an index table object
...: the expression to be evaluated
var: used in norm_quantile(); the variable to be converted

Value

an index table object

Examples

library(dplyr)
library(lmomco)
tenterfield |>
  mutate(month = lubridate::month(ym)) |>
  init(id = id, time = ym, group = month) |>
  temporal_aggregate(.agg = temporal_rolling_window(prcp, scale = 12)) |>
  distribution_fit(.fit = dist_gamma(.agg, method = "lmoms")) |>
  normalise(index = norm_quantile(.fit))
#> Index pipeline: 
#> 
#> Steps: 
#> temporal: `rolling_window()` -> .agg
#> distribution_fit: `distfit_gamma()` -> .fit
#> normalise: `norm_quantile()` -> index
#> 
#> Data: 
#> # A tibble: 358 × 14
#>    id     month       ym  prcp  tmax   tmin  tavg  long   lat name   .agg   .fit
#>    <chr>  <dbl>    <mth> <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl> <chr> <dbl>  <dbl>
#>  1 ASN00…    12 1990 Dec   640  30.4 14.7   22.6   152. -29.0 tent…  8382 0.700 
#>  2 ASN00…     1 1991 Jan  1108  27.5 15.9   21.7   152. -29.0 tent…  8608 0.724 
#>  3 ASN00…     2 1991 Feb   628  28.0 15.5   21.8   152. -29.0 tent…  7976 0.608 
#>  4 ASN00…     3 1991 Mar   204  26.2 11.8   19.0   152. -29.0 tent…  7926 0.595 
#>  5 ASN00…     4 1991 Apr    44  24.2  6.57  15.4   152. -29.0 tent…  6376 0.258 
#>  6 ASN00…     5 1991 May   630  21.3  7.52  14.4   152. -29.0 tent…  5786 0.178 
#>  7 ASN00…     6 1991 Jun   242  19.6  3.65  11.6   152. -29.0 tent…  5634 0.152 
#>  8 ASN00…     7 1991 Jul   580  15.3  0.519  7.91  152. -29.0 tent…  5596 0.139 
#>  9 ASN00…     8 1991 Aug    14  17.8  1.67   9.76  152. -29.0 tent…  5276 0.0967
#> 10 ASN00…     9 1991 Sep    78  21.1  3.07  12.1   152. -29.0 tent…  5088 0.0837
#> # ℹ 348 more rows
#> # ℹ 2 more variables: .fit_obj <list>, index <dbl>