podlove_baseplot_multi: Construct a basic podcast download ridgeline plot

In lordyo/podlover: Collects, Cleans and Analyzes Podcast Download Data from Podlove Publisher

Description

Creates the basic ridge line plot to display Podlove download data over time, using ggplot2(). Includes an optional grouping variable and a switcher between cumulative/non-cumulative data.

Usage

podlove_baseplot_multi(df_tidy_data, gvar = "Total", cumulative = TRUE, ...)

Arguments

df_tidy_data	A tidy data frame with download data, as constructed by podlove_prepare_stats_for_graph()
gvar	Optional grouping parameter string (e.g. "title"), handed over to ggplot2::aes_string(color). Must correspond to the data structure in df_tidy_data.
cumulative	Boolean switch to show either cumulative data (TRUE, default), or non-comulative data (FALSE)
...	Additional parameters to be handed over to ggplot2::geom_density_ridge()

Value

A ggplot2 plot

Examples

## Not run: 
#prepare data
gdata <- podlove_prepare_stats_for_graph(podcast_example_data, gvar = title)

# line graph with cumulative data (grouped by title)
podlove_baseplot(plot_data, gvar = "title", cumulative = TRUE)

# line graph with non-cumulative data
podlove_baseplot(plot_data, gvar = "title", cumulative = FALSE)

# line graph with non-cumulative data and additional formating paramters
gdata <- podlove_prepare_stats_for_graph(podcast_example_data)
podlove_baseplot(plot_data, cumulative = TRUE,
                 color = "white", fill = "#6699CC", scale = 2)

## End(Not run)

lordyo/podlover documentation built on Feb. 20, 2020, 5:58 p.m.