facet_sample: Facet data into groups to facilitate exploration

In brolgar: Browse Over Longitudinal Data Graphically and Analytically in R

Facet data into groups to facilitate exploration

Description

This function requires a tbl_ts object, which can be created with tsibble::as_tsibble(). Under the hood, facet_strata is powered by stratify_keys() and sample_n_keys().

Usage

facet_sample(
  n_per_facet = 3,
  n_facets = 12,
  nrow = NULL,
  ncol = NULL,
  scales = "fixed",
  shrink = TRUE,
  strip.position = "top"
)

Arguments

n_per_facet	Number of keys per facet you want to plot. Default is 3.
n_facets	Number of facets to create. Default is 12
nrow, ncol	Number of rows and columns.
scales	Should scales be fixed ("fixed", the default), free ("free"), or free in one dimension ("free_x", "free_y")?
shrink	If TRUE, will shrink scales to fit output of statistics, not raw data. If FALSE, will be range of raw data before statistical summary.
strip.position	By default, the labels are displayed on the top of the plot. Using strip.position it is possible to place the labels on either of the four sides by setting strip.position = c("top", "bottom", "left", "right")

Value

a ggplot object

Examples

library(ggplot2)
ggplot(heights,
aes(x = year,
    y = height_cm,
    group = country)) +
  geom_line() +
  facet_sample()

ggplot(heights,
       aes(x = year,
           y = height_cm,
           group = country)) +
  geom_line() +
  facet_sample(n_per_facet = 1,
               n_facets = 12)

brolgar documentation built on June 22, 2024, 11:24 a.m.