gran_advice: Advice summaries for granularities

In Sayani07/gravitas: Explore Probability Distributions for Bivariate Temporal Granularities

Advice summaries for granularities

Description

Recommendations on plot choices, interaction, number of observations and intra or inter facet homogeneity. Important summaries before drawing distribution plots.

Usage

gran_advice(.data, gran1, gran2, hierarchy_tbl = NULL, ...)

Arguments

.data	a tsibble.
gran1, gran2	granularities.
hierarchy_tbl	A hierarchy table specifying the hierarchy of units and their relationships.
...	other arguments to be passed for appropriate labels.

Value

Summary check points before visualizing distribution across bivariate granularities

Examples

library(dplyr)
library(ggplot2)

smart_meter10 %>%
  filter(customer_id == "10017936") %>%
  gran_advice(
    gran1 = "wknd_wday",
    gran2 = "hour_day"
  )

# choosing quantile plots from plot choices
smart_meter10 %>%
  filter(customer_id == "10017936") %>%
  prob_plot(
    gran1 = "wknd_wday",
    gran2 = "hour_day",
    response = "general_supply_kwh",
    plot_type = "quantile",
    quantile_prob = c(0.1, 0.25, 0.5, 0.75, 0.9)
  ) +
  scale_y_sqrt()

Sayani07/gravitas documentation built on June 18, 2022, 2:40 a.m.