print.gran_advice: Advice summaries for granularities

In gravitas: Explore Probability Distributions for Bivariate Temporal 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")

gravitas documentation built on July 2, 2020, 4:01 a.m.