Code
as.data.frame(as.data.frame(tbl))
Output
**Characteristic** **I** \nN = 68 **II** \nN = 68 **III** \nN = 64
1 Age 47 (37, 56) 49 (37, 57) 47 (38, 58)
2 Mean Difference <NA> -1.4 -2.0
3 95% CI <NA> -6.4, 3.7 -7.1, 3.2
4 p-value <NA> 0.6 0.5
5 Tumor Response 21 (31%) 19 (30%) 21 (33%)
6 Rate Difference <NA> 1.2% -2.0%
7 95% CI <NA> -16%, 18% -20%, 16%
8 p-value <NA> >0.9 >0.9
Code
add_difference_row(tbl_summary(trial, by = grade, include = c(age, response),
missing = "no"), reference = "XXX")
Condition
Error in `add_difference_row()`:
! The `reference` argument must be one of "I", "II", and "III".
Code
add_difference_row(tbl_summary(trial, by = grade, include = c(age, response),
missing = "no"), reference = factor("I"))
Condition
Error in `add_difference_row()`:
! The scalar in the `reference` argument cannot be a <factor>.
i Use the <character> level instead.
Code
add_difference_row(tbl_summary(trial, include = age), reference = "I")
Condition
Error in `add_difference_row()`:
! Cannot run `add_difference_row()` when `tbl_summary()` does not include a `by` argument.
Code
tbl <- add_difference_row(tbl_summary(trial, by = grade, include = response,
percent = "row"), reference = "I")
Condition
Warning:
The `add_difference_row()` results for categorical variables may not compatible with `tbl_summary(percent = c('cell', 'row'))`.
i Use column percentages instead, `tbl_summary(percent = 'column')`.
Code
add_difference_row(tbl_summary(trial, by = trt, include = age), reference = "Drug A",
test = age ~ (function(...) letters))
Condition
Error in `add_difference_row()`:
! The result from the `test` argument for variable `age` must be an ARD of class <card> or a data frame with one row.
i Review `?gtsummary::tests()` for details on constructing a custom function.
Code
tbl <- add_difference_row(tbl_summary(trial, by = trt, include = age),
reference = "Drug A", test = age ~ (function(...) stop("oy!")))
Message
The following errors were returned during `add_difference_row()`:
x For variable `age` (`trt`) and "estimate", "std.error", "parameter", "statistic", "conf.low", "conf.high", and "p.value" statistics: oy!
Code
as.data.frame(tbl_groups)
Output
**Characteristic** **Drug A** \nN = 98 **Drug B** \nN = 102
1 Age 46 (37, 60) 48 (39, 56)
2 Coefficient <NA> -0.57
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