Teal Module: Confidence Interval Plot (CIG01) — tm_g

The module generates the R code and returns the corresponding output.

Usage

tm_g_ci(
  label,
  x_var,
  y_var,
  color,
  stat = c("mean", "median"),
  conf_level = teal.transform::choices_selected(c(0.95, 0.9, 0.8), 0.95, keep_order =
    TRUE),
  plot_height = c(700L, 200L, 2000L),
  plot_width = NULL,
  pre_output = NULL,
  post_output = NULL,
  ggplot2_args = teal.widgets::ggplot2_args()
)

Arguments

label

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

x_var

(character)
treatment variable corresponding to the x axis.

y_var

(character)
response variable corresponding to the y axis.

color

(data_extract_spec)
the group variable (color, line type and point shape).

stat

(character)
either mean or median.

conf_level

(choices_selected)
object with all available choices and preselected option for the confidence level, each within range of (0, 1).

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 help vignette: vignette("custom-ggplot2-arguments", package = "teal.widgets").

Examples

library(nestcolor)

adsl <- tmc_ex_adsl
adlb <- tmc_ex_adlb

app <- init(
  data = cdisc_data(
    cdisc_dataset("ADSL", adsl),
    cdisc_dataset("ADLB", adlb)
  ),
  modules = modules(
    tm_g_ci(
      label = "Confidence Interval Plot",
      x_var = data_extract_spec(
        dataname = "ADSL",
        select = select_spec(
          choices = c("ARMCD", "BMRKR2"),
          selected = c("ARMCD"),
          multiple = FALSE,
          fixed = FALSE
        )
      ),
      y_var = data_extract_spec(
        dataname = "ADLB",
        filter = list(
          filter_spec(
            vars = "PARAMCD",
            choices = levels(adlb$PARAMCD),
            selected = levels(adlb$PARAMCD)[1],
            multiple = FALSE,
            label = "Select lab:"
          ),
          filter_spec(
            vars = "AVISIT",
            choices = levels(adlb$AVISIT),
            selected = levels(adlb$AVISIT)[1],
            multiple = FALSE,
            label = "Select visit:"
          )
        ),
        select = select_spec(
          label = "Analyzed Value",
          choices = c("AVAL", "CHG"),
          selected = "AVAL",
          multiple = FALSE,
          fixed = FALSE
        )
      ),
      color = data_extract_spec(
        dataname = "ADSL",
        select = select_spec(
          label = "Color by variable",
          choices = c("SEX", "STRATA1", "STRATA2"),
          selected = c("STRATA1"),
          multiple = FALSE,
          fixed = FALSE
        )
      )
    )
  ),
  header = "Example of Confidence Interval Plot",
  footer = shiny::tags$p(
    class = "text-muted", "Source: `teal.modules.clinical::tm_g_ci`"
  )
)
#> [INFO] 2023-08-14 14:44:01.5745 pid:1183 token:[] teal.modules.clinical Initializing tm_g_ci
if (interactive()) {
  shinyApp(app$ui, app$server)
}