Learn R Programming

teal.modules.clinical (version 0.9.0)

tm_g_barchart_simple: teal Module: Simple Bar Chart and Table of Counts per Category

Description

This module produces a ggplot2::ggplot() type bar chart and summary table of counts per category.

Usage

tm_g_barchart_simple(
  x = NULL,
  fill = NULL,
  x_facet = NULL,
  y_facet = NULL,
  label = "Count Barchart",
  plot_options = NULL,
  plot_height = c(600L, 200L, 2000L),
  plot_width = NULL,
  pre_output = NULL,
  post_output = NULL,
  ggplot2_args = teal.widgets::ggplot2_args()
)

Value

a teal_module object.

Arguments

x

(data_extract_spec)
variable on the x-axis.

fill

(data_extract_spec)
grouping variable to determine bar colors.

x_facet

(data_extract_spec)
row-wise faceting groups.

y_facet

(data_extract_spec)
column-wise faceting groups.

label

(character)
menu item label of the module in the teal app.

plot_options

(list)
list of plot options.

plot_height

optional, (numeric)
a vector of length three with c(value, min, max). Specifies the height of the main plot and renders a slider on the plot to interactively adjust the plot height.

plot_width

optional, (numeric)
a vector of length three with c(value, min, max). Specifies the width of the main plot and renders a slider on the plot to interactively adjust the plot width.

pre_output

optional, (shiny.tag)
with text placed before the output to put the output into context. For example a title.

post_output

optional, (shiny.tag)
with text placed after the output to put the output into context. For example the shiny::helpText() elements are useful.

ggplot2_args

optional, (ggplot2_args)
object created by teal.widgets::ggplot2_args() with settings for the module plot. The argument is merged with option teal.ggplot2_args and with default module arguments (hard coded in the module body). For more details, see the vignette: vignette("custom-ggplot2-arguments", package = "teal.widgets").

Details

Categories can be defined up to four levels deep and are defined through the x, fill, x_facet, and y_facet parameters. Any parameters set to NULL (default) are ignored.

See Also

The TLG Catalog where additional example apps implementing this module can be found.

Examples

Run this code
library(nestcolor)
library(dplyr)
library(formatters)

ADSL <- tmc_ex_adsl %>%
  mutate(ITTFL = factor("Y") %>%
    with_label("Intent-To-Treat Population Flag"))
ADAE <- tmc_ex_adae %>%
  filter(!((AETOXGR == 1) & (AESEV == "MILD") & (ARM == "A: Drug X")))

app <- init(
  data = cdisc_data(
    ADSL = ADSL,
    ADAE = ADAE,
    code = "ADSL <- tmc_ex_adsl %>%
              mutate(ITTFL = factor(\"Y\") %>%
              with_label(\"Intent-To-Treat Population Flag\"))
            ADAE <- tmc_ex_adae %>%
              filter(!((AETOXGR == 1) & (AESEV == \"MILD\") & (ARM == \"A: Drug X\")))"
  ),
  modules = modules(
    tm_g_barchart_simple(
      label = "ADAE Analysis",
      x = data_extract_spec(
        dataname = "ADSL",
        select = select_spec(
          choices = variable_choices(
            ADSL,
            c(
              "ARM", "ACTARM", "SEX",
              "RACE", "ITTFL", "SAFFL", "STRATA2"
            )
          ),
          selected = "ACTARM",
          multiple = FALSE
        )
      ),
      fill = list(
        data_extract_spec(
          dataname = "ADSL",
          select = select_spec(
            choices = variable_choices(
              ADSL,
              c(
                "ARM", "ACTARM", "SEX",
                "RACE", "ITTFL", "SAFFL", "STRATA2"
              )
            ),
            selected = "SEX",
            multiple = FALSE
          )
        ),
        data_extract_spec(
          dataname = "ADAE",
          select = select_spec(
            choices = variable_choices(ADAE, c("AETOXGR", "AESEV", "AESER")),
            selected = NULL,
            multiple = FALSE
          )
        )
      ),
      x_facet = list(
        data_extract_spec(
          dataname = "ADAE",
          select = select_spec(
            choices = variable_choices(ADAE, c("AETOXGR", "AESEV", "AESER")),
            selected = "AETOXGR",
            multiple = FALSE
          )
        ),
        data_extract_spec(
          dataname = "ADSL",
          select = select_spec(
            choices = variable_choices(
              ADSL,
              c(
                "ARM", "ACTARM", "SEX",
                "RACE", "ITTFL", "SAFFL", "STRATA2"
              )
            ),
            selected = NULL,
            multiple = FALSE
          )
        )
      ),
      y_facet = list(
        data_extract_spec(
          dataname = "ADAE",
          select = select_spec(
            choices = variable_choices(ADAE, c("AETOXGR", "AESEV", "AESER")),
            selected = "AESEV",
            multiple = FALSE
          )
        ),
        data_extract_spec(
          dataname = "ADSL",
          select = select_spec(
            choices = variable_choices(
              ADSL,
              c(
                "ARM", "ACTARM", "SEX",
                "RACE", "ITTFL", "SAFFL", "STRATA2"
              )
            ),
            selected = NULL,
            multiple = FALSE
          )
        )
      )
    )
  )
)
if (interactive()) {
  shinyApp(app$ui, app$server)
}

Run the code above in your browser using DataLab