% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_plots.R
\name{data-plots}
\alias{data-plots}
\alias{plot_ridge}
\alias{create_plot}
\alias{plot_hbars}
\alias{plot_violin}
\alias{plot_scatter}
\alias{plot_sankey}
\title{Title}
\usage{
plot_ridge(data, x, y, z = NULL, ...)

create_plot(data, type, x, y, z = NULL, ...)

plot_hbars(data, x, y, z = NULL)

plot_violin(data, x, y, z = NULL)

plot_scatter(data, x, y, z = NULL)

plot_sankey(data, x, y, z = NULL, color.group = "x", colors = NULL)
}
\arguments{
\item{...}{ignored for now}

\item{type}{plot type (derived from possible_plots() and matches custom function)}
}
\value{
ggplot2 object

ggplot2 object

ggplot2 object

ggplot2 object

ggplot2 object

ggplot2 object
}
\description{
Title

Wrapper to create plot based on provided type

Nice horizontal stacked bars (Grotta bars)

Beatiful violin plot

Beautiful violin plot

Beautiful sankey plot with option to split by a tertiary group
}
\examples{
mtcars |>
  default_parsing() |>
  plot_ridge(x = "mpg", y = "cyl")
mtcars |> plot_ridge(x = "mpg", y = "cyl", z = "gear")
create_plot(mtcars, "plot_violin", "mpg", "cyl")
mtcars |> plot_hbars(x = "carb", y = "cyl")
mtcars |> plot_hbars(x = "carb", y = NULL)
mtcars |> plot_violin(x = "mpg", y = "cyl", z = "gear")
mtcars |> plot_scatter(x = "mpg", y = "wt")
ds <- data.frame(g = sample(LETTERS[1:2], 100, TRUE), first = REDCapCAST::as_factor(sample(letters[1:4], 100, TRUE)), last = REDCapCAST::as_factor(sample(letters[1:4], 100, TRUE)))
ds |> plot_sankey("first", "last")
ds |> plot_sankey("first", "last", color.group = "y")
ds |> plot_sankey("first", "last", z = "g", color.group = "y")
}