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organising plotting functions - nicer plot wrapping - merge mulitple workbook sheets

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Andreas Gammelgaard Damsbo 2025-03-13 12:41:50 +01:00
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man/data-plots.Rd
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@ -1,47 +1,56 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_plots.R, R/plot_sankey.R
% Please edit documentation in R/data_plots.R, R/plot_hbar.R, R/plot_ridge.R,
% R/plot_sankey.R, R/plot_scatter.R, R/plot_violin.R
\name{data-plots}
\alias{data-plots}
\alias{plot_ridge}
\alias{data_visuals_ui}
\alias{data_visuals_server}
\alias{create_plot}
\alias{plot_hbars}
\alias{plot_violin}
\alias{plot_scatter}
\alias{plot_ridge}
\alias{sankey_ready}
\alias{plot_sankey}
\title{Plot nice ridge plot}
\alias{plot_scatter}
\alias{plot_violin}
\title{Data correlations evaluation module}
\usage{
plot_ridge(data, x, y, z = NULL, ...)
data_visuals_ui(id, tab_title = "Plots", ...)
data_visuals_server(id, data, ...)
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_ridge(data, x, y, z = NULL, ...)
sankey_ready(data, x, y, numbers = "count", ...)
plot_sankey(data, x, y, z = NULL, color.group = "x", colors = NULL)
plot_scatter(data, x, y, z = NULL)
plot_violin(data, x, y, z = NULL)
}
\arguments{
\item{id}{Module id. (Use 'ns("id")')}
\item{...}{ignored for now}
\item{data}{data.frame}
\item{type}{plot type (derived from possible_plots() and matches custom function)}
\item{x}{primary variable}
\item{y}{secondary variable}
\item{z}{tertiary variable}
\item{...}{ignored for now}
\item{type}{plot type (derived from possible_plots() and matches custom function)}
}
\value{
ggplot2 object
Shiny ui module
ggplot2 object
shiny server module
ggplot2 object
@ -51,33 +60,37 @@ ggplot2 object
data.frame
ggplot2 object
ggplot2 object
ggplot2 object
}
\description{
Plot nice ridge plot
Data correlations evaluation module
Wrapper to create plot based on provided type
Nice horizontal stacked bars (Grotta bars)
Beatiful violin plot
Beautiful violin plot
Plot nice ridge plot
Readying data for sankey plot
Beautiful sankey plot with option to split by a tertiary group
Beautiful violin plot
Beatiful violin plot
}
\examples{
create_plot(mtcars, "plot_violin", "mpg", "cyl")
mtcars |> plot_hbars(x = "carb", y = "cyl")
mtcars |> plot_hbars(x = "carb", y = NULL)
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 = sample(c(letters[1:4], NA), 100, TRUE, prob = c(rep(.23, 4), .08)))
ds |> sankey_ready("first", "last")
ds |> sankey_ready("first", "last", numbers = "percentage")
@ -91,4 +104,6 @@ ds <- data.frame(g = sample(LETTERS[1:2], 100, TRUE), first = REDCapCAST::as_fac
ds |> plot_sankey("first", "last")
ds |> plot_sankey("first", "last", color.group = "y")
ds |> plot_sankey("first", "last", z = "g", color.group = "y")
mtcars |> plot_scatter(x = "mpg", y = "wt")
mtcars |> plot_violin(x = "mpg", y = "cyl", z = "gear")
}