wpd: computes wpd for one harmony or harmony table chooses...

In Sayani07/hakear:

Description

computes wpd for one harmony or harmony table chooses compute_pairwise_norm for smaller levels (<=5) chooses compute_pairwise_norm_scalar for higher levels (>5)

Usage

wpd(
  .data,
  harmony_tbl = NULL,
  response = NULL,
  quantile_prob = seq(0.01, 0.99, 0.01),
  dist_ordered = TRUE,
  lambda = 0.67,
  nperm = 20,
  use_perm = TRUE,
  create_harmony_data = TRUE
)

Arguments

.data	a tsibble or data with already computed categories
harmony_tbl	A tibble containing one or more hamronies with facet_variable, x_variable, facet_levels and x_levels
response	the response variable
quantile_prob	numeric vector of probabilities with value #'in [0,1] whose sample quantiles are wanted. Default is set to #' "decile" plot
dist_ordered	if categories are ordered
lambda	value of tuning parameter for computing weighted
nperm	number of permutations for normalization
use_perm	should permutation approach for normalization be used
create_harmony_data	a logical value indicating if data corresponding to harmonies to be created or not

Examples

library(gravitas)
library(parallel)
library(dplyr)
library(tidyr)
sm <- smart_meter10 %>%
  filter(customer_id %in% c("10017936"))
harmonies <- sm %>%
  harmony(
    ugran = "year",
    filter_in = "wknd_wday",
    filter_out = c("hhour", "fortnight", "quarter", "semester")
  )
all_harmony <- wpd(sm,
  harmony_tbl = harmonies,
  response = general_supply_kwh
)
harmonies1 <- harmonies %>% mutate(facet_variable = NA)

 h = harmonies1 %>% select(-facet_levels) %>% distinct() %>% mutate(facet_levels = NA)
 all_harmony <- wpd(sm,
  harmony_tbl = h,
  response = general_supply_kwh, nperm = 200, use_perm = TRUE
)

Sayani07/hakear documentation built on Sept. 14, 2021, 10:59 a.m.