gravitas (version 0.1.2)

print.gran_advice: 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 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

# NOT RUN {
library(dplyr)
library(ggplot2)

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

# }