Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# library(sassy)
# library(ggplot2)
# library(patchwork)
#
#
# # Prepare Log -------------------------------------------------------------
#
#
# options("logr.autolog" = TRUE,
# "logr.notes" = FALSE)
#
# # Get path to temp directory
# tmp <- tempdir()
#
# # Get sample data directory
# dir <- system.file("extdata", package = "sassy")
#
# # Open log
# lgpth <- log_open(file.path(tmp, "example12.log"))
#
#
# # Load and Prepare Data ---------------------------------------------------
#
# sep("Prepare Data")
#
# put("Define data library")
# libname(sdtm, dir, "csv")
#
# put("Load data into workspace")
# lib_load(sdtm)
#
# put("Prepare format")
# agefmt <- value(condition(x >= 18 & x <= 24, "18 to 24"),
# condition(x >= 25 & x <= 44, "25 to 44"),
# condition(x >= 45 & x <= 64, "45 to 64"),
# condition(x >= 65, ">= 65"))
#
# put("Prepare data")
# datastep(sdtm.DM,
# keep = v(USUBJID, SEX, AGE, ARM, AGECAT),
# where = expression(ARM != "SCREEN FAILURE"),
# {
#
# AGECAT = fapply(AGE, agefmt)
#
# }) -> dm_mod
#
#
# put("Convert agecat to factor it will sort correctly")
# dm_mod$AGECAT <- factor(dm_mod$AGECAT, levels = levels(agefmt))
#
# put("Split by ARM")
# dm_sub <- split(dm_mod, factor(dm_mod$ARM))
#
#
# # Create Plots ------------------------------------------------------------
#
# sep("Create Plots")
#
# put("Create plot for ARM A")
# plt1 <- ggplot(dm_sub$`ARM A`, aes(x = AGECAT, fill = SEX)) +
# geom_bar(position = "dodge") +
# labs(x = "Age Groups", y = "Number of Subjects (n)", title = "Placebo")
#
# put("Create plot for ARM B")
# plt2 <- ggplot(dm_sub$`ARM B`, aes(x = AGECAT, fill = SEX)) +
# geom_bar(position = "dodge") +
# labs(x = "Age Groups", y = "Number of Subjects (n)", title = "Drug 50mg")
#
# put("Create plot for ARM C")
# plt3 <- ggplot(dm_sub$`ARM C`, aes(x = AGECAT, fill = SEX)) +
# geom_bar(position = "dodge") +
# labs(x = "Age Groups", y = "Number of Subjects (n)", title = "Drug 100mg")
#
# put("Create plot for ARM D")
# plt4 <- ggplot(dm_sub$`ARM D`, aes(x = AGECAT, fill = SEX)) +
# geom_bar(position = "dodge") +
# labs(x = "Age Groups", y = "Number of Subjects (n)", title = "Competitor")
#
#
# put("Combine 4 plots into 1 using patchwork")
# plts <- (plt1 | plt2) / (plt3 | plt4)
#
#
# # Report ------------------------------------------------------------------
#
#
# sep("Create and print report")
#
#
# pth <- file.path(tmp, "output/example12.rtf")
#
#
# plt <- create_plot(plts, 4.5, 7) |>
# titles("Figure 3.2", "Distribution of Subjects by Treatment Group",
# font_size = 11, bold = TRUE)
#
#
# rpt <- create_report(pth, output_type = "RTF", font = "Arial") |>
# set_margins(top = 1, bottom = 1) |>
# page_header("Sponsor: Company", "Study: ABC") |>
# add_content(plt) |>
# footnotes("Program: DM_Figure.R") |>
# page_footer(paste0("Date Produced: ", fapply(Sys.time(), "%d%b%y %H:%M")),
# right = "Page [pg] of [tpg]")
#
# # Write report to file
# res <- write_report(rpt)
#
#
# # Clean Up ----------------------------------------------------------------
#
# # Unload library from workspace
# lib_unload(sdtm)
#
# # Close log
# log_close()
#
# # Uncomment to view files
# # file.show(pth)
# # file.show(lgpth)
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