qstacktseries: Quick Stacked Area Time Series Plot

In nicolalove/timeseries: Plotting grouped time series data

Description

Quick Stacked Area Time Series Plot

Usage

qstacktseries(
  data,
  time,
  voi,
  group,
  round_values = FALSE,
  verbose = FALSE,
  default_theme = TRUE
)

Arguments

data	A data frame or tibble where the inputs time, voi and group are stored.
time	A numeric vector that represents time (year, month, day), stored in the data set data.
voi	A continuous, numeric vector stored in the data set data (this is your variable of interest that might have interesting variations over time).
group	A character or factor vector that is used to group the numeric data, voi, in the specified data set, data.
round_values	An optional argument that rounds the variable of interest (voi) to 3 digits (default = FALSE).
verbose	An optional argument that that keeps the user up-to-date with the ongoing processes at each step of the graphing function (default = FALSE).
default_theme	An optional argument that specifies a default theme: uses theme_minimal with bold plot title, legend title, and axis titles (default = TRUE).

Value

A ggplot object (a stacked area plot) depicting the temporal dynamics of some variable (voi) grouped by a factor variable (group) from the specified data set (data).

Examples

qstacktseries(gapminder::gapminder, year, gdpPercap, country, round_values = TRUE,verbose = TRUE)

qstacktseries(gapminder::gapminder %>%
         dplyr::filter(continent == "Americas"),
         year, gdpPercap, country, verbose = TRUE)

nicolalove/timeseries documentation built on Dec. 31, 2020, 12:05 a.m.