## ----echo=FALSE, out.width='160px'--------------------------------------------
logo_candidates <- c(
  "man/figures/gtregression_hex.png",
  "../man/figures/gtregression_hex.png"
)
logo_path <- logo_candidates[file.exists(logo_candidates)][1]

if (!is.na(logo_path)) {
  knitr::include_graphics(logo_path)
}

## ----setup-birthwt, message=FALSE, warning=FALSE------------------------------
library(gtregression)
library(dplyr)

data("data_birthwt", package = "gtregression")

birthwt_data <- data_birthwt |>
  mutate(
    race = factor(race, levels = c(1, 2, 3),
                  labels = c("White", "Black", "Other")),
    smoke = factor(smoke, levels = c(0, 1), labels = c("No", "Yes")),
    ht = factor(ht, levels = c(0, 1), labels = c("No", "Yes")),
    ui = factor(ui, levels = c(0, 1), labels = c("No", "Yes")),
    low = factor(low, levels = c(0, 1), labels = c("Normal BW", "Low BW")),
    ptl_cat = ifelse(ptl > 0, "Yes", "No"),
    ftv_cat = case_when(
      ftv == 0 ~ "None",
      ftv == 1 ~ "One",
      ftv >= 2 ~ "Two or more"
    )
  ) |>
  mutate(
    ptl_cat = factor(ptl_cat, levels = c("No", "Yes")),
    ftv_cat = factor(ftv_cat, levels = c("None", "One", "Two or more"))
  )

birthwt_exposures <- c(
  "age", "lwt", "race", "smoke", "ht", "ui", "ptl_cat", "ftv_cat"
)

attr(birthwt_data$age, "label") <- "Maternal age"
attr(birthwt_data$lwt, "label") <- "Maternal weight"
attr(birthwt_data$race, "label") <- "Maternal race"
attr(birthwt_data$smoke, "label") <- "Smoking during pregnancy"
attr(birthwt_data$ht, "label") <- "Hypertension"
attr(birthwt_data$ui, "label") <- "Uterine irritability"
attr(birthwt_data$ptl_cat, "label") <- "Previous preterm labour"
attr(birthwt_data$ftv_cat, "label") <- "First trimester visits"

## ----quick-describe, message=FALSE, warning=FALSE-----------------------------
birthwt_summary <- descriptive_table(
  data = birthwt_data,
  exposures = birthwt_exposures,
  by = low,
  percent = column,
  show_overall = last,
  theme = clinical
)

birthwt_summary$table

## ----quick-model, message=FALSE, warning=FALSE--------------------------------
birthwt_uni <- uni_reg(
  data = birthwt_data,
  outcome = low,
  exposures = birthwt_exposures,
  approach = logit,
  theme = clinical
)

birthwt_multi <- multi_reg(
  data = birthwt_data,
  outcome = low,
  exposures = c("smoke", "ht", "ui", "ptl_cat", "ftv_cat"),
  adjust_for = c("age", "lwt", "race"),
  approach = logit,
  theme = striped
)

birthwt_multi$table

## ----quick-plot, fig.width=12, fig.height=8,message=FALSE, warning=FALSE------
plot_reg(
  birthwt_multi,
  title = "Adjusted Regression for Low Birth Weight"
)

forest_reg(forest_df(birthwt_uni, birthwt_multi))

## ----quick-merge, message=FALSE, warning=FALSE--------------------------------
birthwt_final <- merge_tables(
  birthwt_summary,
  birthwt_uni,
  birthwt_multi,
  spanners = c("Clinical profile", "Crude OR", "Adjusted OR")
)

birthwt_final <- modify_table(
  birthwt_final,
  caption = "Clinical profile and regression estimates for low birth weight",
  caveat = "Adjusted estimates are adjusted for maternal age, maternal weight, and maternal race."
)

birthwt_final$table

## ----quick-save, eval=FALSE---------------------------------------------------
# save_table(birthwt_final, filename = "birthwt-table", format = html)
# save_docx(tables = birthwt_final, filename = "birthwt-report")