print.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

## S3 method for class 'gran_advice'
print(x, ...)

Arguments

x	An object of class gran_advice
...	other arguments to be passed for appropriate labels.

Value

Print 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"
  )

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