plot_time_variation: Function to plot hourly, weekday, and monthly averages.

In skgrange/threadr: Tools to Thread Pieces Of Data Analysis Together

Function to plot hourly, weekday, and monthly averages.

Description

Function to plot hourly, weekday, and monthly averages.

Usage

plot_time_variation(
  df,
  by = NA,
  n_min = 2,
  colours = NA,
  ylim = c(NA, NA),
  legend_name = NA,
  y_label = "Mean",
  plot = TRUE
)

Arguments

df	Input data frame with at least two variables, two of which are named value and date.
by	A grouping variable to separately plot different variables.
n_min	How many observations are needed to create a valid confidence interval? By default, at least two observations are needed to avoid very large bounds that results in bad y-axes scales.
colours	A vector of colours to use for the plotting.
ylim	Limits for y-axes.
legend_name	A string to overwrite the default legend label.
y_label	A string to overwrite the default y-axes labels.
plot	Should the plot be printed?

Value

A list object containing two objects – the first element contains four individual plots and the second is the four plots combined into a single object.

Author(s)

Stuart K. Grange

skgrange/threadr documentation built on Jan. 10, 2025, 10:06 a.m.