FreesearchR/man/data-plots.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_plots.R, R/plot_bar.R, R/plot_box.R,
%   R/plot_hbar.R, R/plot_likert.R, R/plot_ridge.R, R/plot_sankey.R,
%   R/plot_scatter.R, R/plot_violin.R
\name{data-plots}
\alias{data-plots}
\alias{data_visuals_ui}
\alias{data_visuals_server}
\alias{create_plot}
\alias{plot_bar}
\alias{plot_bar_single}
\alias{plot_box}
\alias{plot_box_single}
\alias{plot_hbars}
\alias{plot_likert}
\alias{plot_ridge}
\alias{sankey_ready}
\alias{plot_sankey}
\alias{plot_scatter}
\alias{plot_violin}
\title{Data correlations evaluation module}
\usage{
data_visuals_ui(id, tab_title = "Plots", ...)

data_visuals_server(id, data, palettes, ...)

create_plot(data, type, pri, sec, ter = NULL, color.palette = "viridis", ...)

plot_bar(
  data,
  pri,
  sec = NULL,
  ter = NULL,
  style = c("stack", "dodge", "fill"),
  color.palette = "viridis",
  max_level = 30,
  ...
)

plot_bar_single(
  data,
  pri,
  sec = NULL,
  style = c("stack", "dodge", "fill"),
  max_level = 30,
  color.palette = "viridis"
)

plot_box(data, pri, sec, ter = NULL, color.palette = "viridis", ...)

plot_box_single(data, pri, sec = NULL, seed = 2103, color.palette = "viridis")

plot_hbars(data, pri, sec, ter = NULL, color.palette = "viridis")

plot_likert(data, pri, sec = NULL, ter = NULL, color.palette = "viridis")

plot_ridge(data, x, y, z = NULL, color.palette = "viridis", ...)

sankey_ready(data, pri, sec, numbers = "count", ...)

plot_sankey(
  data,
  pri,
  sec,
  ter = NULL,
  color.group = "pri",
  colors = NULL,
  color.palette = "viridis",
  default.color = "#2986cc",
  box.color = "#1E4B66",
  na.color = "grey80",
  missing.level = "Missing"
)

plot_scatter(data, pri, sec, ter = NULL, color.palette = "viridis")

plot_violin(data, pri, sec, ter = NULL, color.palette = "viridis")
}
\arguments{
\item{id}{Module id. (Use 'ns("id")')}

\item{...}{passed on to wrap_plot_list}

\item{data}{data frame}

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

\item{pri}{primary variable}

\item{sec}{secondary variable}

\item{ter}{tertiary variable}

\item{color.palette}{choose color palette. See \code{\link{plot_colors}} for support.}

\item{style}{barplot style passed to geom_bar position argument.
One of c("stack", "dodge", "fill")}
}
\value{
Shiny ui module

shiny server module

ggplot2 object

ggplot list object

ggplot object

ggplot2 object

ggplot object

ggplot2 object

ggplot2 object

ggplot2 object

data.frame

ggplot2 object

ggplot2 object

ggplot2 object
}
\description{
Data correlations evaluation module

Wrapper to create plot based on provided type

Title

Single vertical barplot

Beautiful box plot(s)

Create nice box-plots

Nice horizontal stacked bars (Grotta bars)

Nice horizontal bar plot centred on the central category

Plot nice ridge plot

Readying data for sankey plot

Beautiful sankey plot with option to split by a tertiary group

Beautiful violin plot

Beautiful violin plot
}
\examples{
create_plot(mtcars, "plot_violin", "mpg", "cyl") |> attributes()
mtcars |>
  dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
  plot_bar(pri = "cyl", sec = "am", style = "fill")

mtcars |>
  dplyr::mutate(dplyr::across(tidyselect::all_of(c("cyl","am","gear")),factor)) |>
  plot_bar(pri = "cyl", sec = "gear", ter = "am", style = "stack",color.palette="turbo")
mtcars |>
  dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
  plot_bar_single(pri = "cyl", sec = "am", style = "fill")

mtcars |>
  dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
  plot_bar_single(pri = "cyl", style = "stack",color.palette="turbo")
mtcars |> plot_box(pri = "mpg", sec = "gear")
mtcars |> plot_box(pri = "mpg", sec="cyl")
mtcars |>
  default_parsing() |>
  plot_box(pri = "mpg", sec = "cyl", ter = "gear")
mtcars |>
  default_parsing() |>
  plot_box(pri = "mpg", sec = "cyl", ter = "gear",axis.font.family="mono")
mtcars |> plot_box_single("mpg")
mtcars |> plot_box_single("mpg","cyl",color.palette="Blues")
stRoke::trial |> plot_box_single("age","active",color.palette="Blues")
gtsummary::trial |> plot_box_single("age","trt")
mtcars |> plot_hbars(pri = "carb", sec = "cyl")
mtcars |> plot_hbars(pri = "carb", sec = "cyl", ter="am")
mtcars |> plot_hbars(pri = "carb", sec = NULL,color.palette="Blues")
mtcars |> plot_hbars(pri = "carb", sec = NULL,color.palette="Magma")
mtcars |> plot_hbars(pri = "carb", sec = "am",color.palette="Viridis")
mtcars |> plot_likert(pri = "carb", sec = "cyl")
mtcars |> plot_likert(pri = "carb", sec = "cyl", ter="am")
mtcars |> plot_likert(pri = "cyl",color.palette="Blues")
mtcars |> plot_likert(pri = "carb", sec = NULL,color.palette="Magma")
mtcars |> plot_likert(pri = "carb", sec = c("cyl","am"),color.palette="Viridis")
mtcars |>
  default_parsing() |>
  plot_ridge(x = "mpg", y = "cyl")
mtcars |> plot_ridge(x = "mpg", y = "cyl", z = "gear")
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")
data.frame(
  g = sample(LETTERS[1:2], 100, TRUE),
  first = REDCapCAST::as_factor(sample(letters[1:4], 100, TRUE)),
  last = sample(c(TRUE, FALSE, FALSE), 100, TRUE)
) |>
  sankey_ready("first", "last")
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 = "sec")
ds |> plot_sankey("first", "last", ter = "g", color.group = "sec")
mtcars |>
  default_parsing() |>
  plot_sankey("cyl", "gear", "am", color.group = "pri")
## In this case, the last plot as the secondary variable in wrong order
## Dont know why...
mtcars |>
  default_parsing() |>
  plot_sankey("cyl", "gear", "vs", color.group = "pri",color.palette="inferno")
mtcars |> plot_scatter(pri = "mpg", sec = "wt")
mtcars |> plot_scatter(pri = "mpg", sec = "wt",ter="carb")
mtcars |> plot_violin(pri = "mpg", sec = "cyl")
mtcars |> plot_violin(pri = "mpg", sec = "cyl", ter = "gear", color.palette="Blues")
}