tests/testthat/_snaps/add_stat_label.tbl_ard_summary.md

In ddsjoberg/gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

add_stat_label(location='row') standard use

Code
  as.data.frame(modify_column_hide(add_stat_label(tbl_ard, location = "row"),
  all_stat_cols()))
Output
      **Characteristic**
  1        AGEGR1, n (%)
  2                  <65
  3                65-80
  4                  >80
  5 Age, Median (Q1, Q3)

add_stat_label(location='column') standard use

Code
  as.data.frame(modify_column_hide(add_stat_label(tbl_ard, location = "column"),
  all_stat_cols()))
Output
    **Characteristic**   **Statistic**
  1             AGEGR1            <NA>
  2                <65           n (%)
  3              65-80           n (%)
  4                >80           n (%)
  5                Age Median (Q1, Q3)

Code
  as.data.frame(modify_column_hide(add_stat_label(tbl_ard, location = "column",
    label = all_categorical() ~ "no. (%)"), all_stat_cols()))
Output
    **Characteristic**   **Statistic**
  1             AGEGR1            <NA>
  2                <65         no. (%)
  3              65-80         no. (%)
  4                >80         no. (%)
  5                Age Median (Q1, Q3)

add_stat_label(label) standard use

Code
  as.data.frame(add_stat_label(tbl_ard_summary(cards::ard_stack(data = cards::ADSL,
  cards::ard_categorical(variables = "AGEGR1"), cards::ard_continuous(variables = "AGE"),
  .attributes = TRUE, .missing = TRUE, .total_n = TRUE), type = all_continuous() ~
    "continuous2", statistic = all_continuous() ~ c("{median} ({p25}, {p75})",
    "{min} - {max}")), label = AGE ~ c("Median (IQR)", "Range")))
Output
           **Characteristic**       **Overall**
  1 Pooled Age Group 1, n (%)              <NA>
  2                     65-80       144 (56.7%)
  3                       <65        33 (13.0%)
  4                       >80        77 (30.3%)
  5                       Age              <NA>
  6              Median (IQR) 77.0 (70.0, 81.0)
  7                     Range       51.0 - 89.0

add_stat_label(label) messaging

Code
  add_stat_label(tbl_ard_summary(cards::ard_stack(data = cards::ADSL, cards::ard_categorical(
    variables = "AGEGR1"), cards::ard_continuous(variables = "AGE"), .attributes = TRUE,
  .missing = TRUE, .total_n = TRUE), type = all_continuous() ~ "continuous2",
  statistic = all_continuous() ~ c("{median} ({p25}, {p75})", "{min} - {max}")),
  label = AGE ~ letters)
Condition
  Error in `add_stat_label()`:
  ! The element of the `label` argument for variable "AGE" must be a string of length 2.

Code
  add_stat_label(tbl_ard_summary(cards::ard_stack(data = cards::ADSL, cards::ard_categorical(
    variables = "AGEGR1"), cards::ard_continuous(variables = "AGE"), .attributes = TRUE,
  .missing = TRUE, .total_n = TRUE), type = all_continuous() ~ "continuous2",
  statistic = all_continuous() ~ c("{median} ({p25}, {p75})", "{min} - {max}")),
  label = AGE ~ c("Median (IQR)", "Range", "TOO LONG!"))
Condition
  Error in `add_stat_label()`:
  ! The element of the `label` argument for variable "AGE" must be a string of length 2.

add_stat_label() messaging

Code
  invisible(add_stat_label(add_stat_label(tbl_ard_summary(cards::ard_stack(data = cards::ADSL,
  cards::ard_categorical(variables = "AGEGR1"), cards::ard_continuous(variables = "AGE"),
  .attributes = TRUE, .missing = TRUE, .total_n = TRUE), type = all_continuous() ~
    "continuous2", statistic = all_continuous() ~ c("{median} ({p25}, {p75})",
    "{min} - {max}")))))
Message
  `add_stat_label()` has previously been applied. Returning gtsummary table unaltered.

ddsjoberg/gtsummary documentation built on March 1, 2025, 7:52 p.m.