Convert summary table of a fixed or group sequential design object to a gt object

Usage

as_gt(x, ...)

# S3 method for class 'fixed_design'
as_gt(x, title = NULL, footnote = NULL, ...)

# S3 method for class 'gs_design'
as_gt(
  x,
  title = NULL,
  subtitle = NULL,
  colname_spanner = "Cumulative boundary crossing probability",
  colname_spannersub = c("Alternate hypothesis", "Null hypothesis"),
  footnote = NULL,
  display_bound = c("Efficacy", "Futility"),
  display_columns = NULL,
  display_inf_bound = FALSE,
  ...
)

Arguments

x: A summary object of a fixed or group sequential design.
...: Additional arguments (not used).
title: A string to specify the title of the gt table.
footnote: A list containing content, location, and attr. content is a vector of string to specify the footnote text; location is a vector of string to specify the locations to put the superscript of the footnote index; attr is a vector of string to specify the attributes of the footnotes, for example, c("colname", "title", "subtitle", "analysis", "spanner"); users can use the functions in the gt package to customize the table.
subtitle: A string to specify the subtitle of the gt table.
colname_spanner: A string to specify the spanner of the gt table.
colname_spannersub: A vector of strings to specify the spanner details of the gt table.
display_bound: A vector of strings specifying the label of the bounds. The default is c("Efficacy", "Futility").
display_columns: A vector of strings specifying the variables to be displayed in the summary table.
display_inf_bound: Logical, whether to display the +/-inf bound.

Value

A gt_tbl object.

Examples

if (FALSE) { # interactive() && !identical(Sys.getenv("IN_PKGDOWN"), "true")
library(dplyr)

# Enrollment rate
enroll_rate <- define_enroll_rate(
  duration = 18,
  rate = 20
)

# Failure rates
fail_rate <- define_fail_rate(
  duration = c(4, 100),
  fail_rate = log(2) / 12,
  dropout_rate = .001,
  hr = c(1, .6)
)

# Study duration in months
study_duration <- 36

# Experimental / Control randomization ratio
ratio <- 1

# 1-sided Type I error
alpha <- 0.025

# Type II error (1 - power)
beta <- 0.1

# Example 1 ----
fixed_design_ahr(
  alpha = alpha, power = 1 - beta,
  enroll_rate = enroll_rate, fail_rate = fail_rate,
  study_duration = study_duration, ratio = ratio
) %>%
  summary() %>%
  as_gt()

# Example 2 ----
fixed_design_fh(
  alpha = alpha, power = 1 - beta,
  enroll_rate = enroll_rate, fail_rate = fail_rate,
  study_duration = study_duration, ratio = ratio
) %>%
  summary() %>%
  as_gt()
}
if (FALSE) { # interactive() && !identical(Sys.getenv("IN_PKGDOWN"), "true")
library(dplyr)
# Example 1 ----
# The default output

gs_design_ahr() %>%
  summary() %>%
  as_gt()

gs_power_ahr() %>%
  summary() %>%
  as_gt()

gs_design_wlr() %>%
  summary() %>%
  as_gt()

gs_power_wlr() %>%
  summary() %>%
  as_gt()

gs_power_combo() %>%
  summary() %>%
  as_gt()

gs_design_rd() %>%
  summary() %>%
  as_gt()

gs_power_rd() %>%
  summary() %>%
  as_gt()

# Example 2 ----
# Usage of title = ..., subtitle = ...
# to edit the title/subtitle
gs_power_wlr() %>%
  summary() %>%
  as_gt(
    title = "Bound Summary",
    subtitle = "from gs_power_wlr"
  )

# Example 3 ----
# Usage of colname_spanner = ..., colname_spannersub = ...
# to edit the spanner and its sub-spanner
gs_power_wlr() %>%
  summary() %>%
  as_gt(
    colname_spanner = "Cumulative probability to cross boundaries",
    colname_spannersub = c("under H1", "under H0")
  )

# Example 4 ----
# Usage of footnote = ...
# to edit the footnote
gs_power_wlr() %>%
  summary() %>%
  as_gt(
    footnote = list(
      content = c(
        "approximate weighted hazard ratio to cross bound.",
        "wAHR is the weighted AHR.",
        "the crossing probability.",
        "this table is generated by gs_power_wlr."
      ),
      location = c("~wHR at bound", NA, NA, NA),
      attr = c("colname", "analysis", "spanner", "title")
    )
  )

# Example 5 ----
# Usage of display_bound = ...
# to either show efficacy bound or futility bound, or both(default)
gs_power_wlr() %>%
  summary() %>%
  as_gt(display_bound = "Efficacy")

# Example 6 ----
# Usage of display_columns = ...
# to select the columns to display in the summary table
gs_power_wlr() %>%
  summary() %>%
  as_gt(display_columns = c("Analysis", "Bound", "Nominal p", "Z", "Probability"))
}