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updated data import
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Andreas Gammelgaard Damsbo 2025-03-11 13:42:57 +01:00
commit 912fff7474
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32 changed files with 2340 additions and 273 deletions
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18
man/data-plots.Rd
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@ -7,6 +7,7 @@
\alias{plot_hbars}
\alias{plot_violin}
\alias{plot_scatter}
\alias{sankey_ready}
\alias{plot_sankey}
\title{Title}
\usage{
@ -20,9 +21,19 @@ plot_violin(data, x, y, z = NULL)
plot_scatter(data, x, y, z = NULL)
sankey_ready(data, x, y, z = NULL, numbers = "count")
plot_sankey(data, x, y, z = NULL, color.group = "x", colors = NULL)
}
\arguments{
\item{data}{data.frame}
\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)}
@ -38,6 +49,8 @@ ggplot2 object
ggplot2 object
data.frame
ggplot2 object
}
\description{
@ -51,6 +64,8 @@ Beatiful violin plot
Beautiful violin plot
Readying data for sankey plot
Beautiful sankey plot with option to split by a tertiary group
}
\examples{
@ -63,6 +78,9 @@ 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")
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")