Nothing
Code
apply_fmt_fn(mock_categorical(variables = list(AGEGR1 = factor(c("<65", "65-80", ">80"), levels = c("<65", "65-80", ">80"))), by = list(
TRTA = c("Placebo", "Xanomeline High Dose", "Xanomeline Low Dose"))))
Message
{cards} data frame: 27 x 12
Output
group1 group1_level variable variable_level stat_name stat_label stat stat_fmt
1 TRTA Placebo AGEGR1 <65 n n xx
2 TRTA Placebo AGEGR1 <65 p % xx.x
3 TRTA Placebo AGEGR1 <65 N N xx
4 TRTA Placebo AGEGR1 65-80 n n xx
5 TRTA Placebo AGEGR1 65-80 p % xx.x
6 TRTA Placebo AGEGR1 65-80 N N xx
7 TRTA Placebo AGEGR1 >80 n n xx
8 TRTA Placebo AGEGR1 >80 p % xx.x
9 TRTA Placebo AGEGR1 >80 N N xx
10 TRTA Xanomeli… AGEGR1 <65 n n xx
Message
i 17 more rows
i Use `print(n = ...)` to see more rows
i 4 more variables: context, fmt_fn, warning, error
Code
mock_categorical(variables = list(AGEGR1 = factor(c("<65", "65-80", ">80"),
levels = c("<65", "65-80", ">80"))), statistic = ~ c("NOTASTATISTIC"))
Condition
Error in `mock_categorical()`:
! The elements of the `statistic` argument must be vector with one or more of "n", "p", and "N".
Code
apply_fmt_fn(mock_continuous(variables = c("AGE", "BMIBL")))
Message
{cards} data frame: 16 x 9
Output
variable context stat_name stat_label stat stat_fmt
1 AGE continuo… N N xx
2 AGE continuo… mean Mean xx.x
3 AGE continuo… sd SD xx.x
4 AGE continuo… median Median xx.x
5 AGE continuo… p25 Q1 xx.x
6 AGE continuo… p75 Q3 xx.x
7 AGE continuo… min Min xx.x
8 AGE continuo… max Max xx.x
9 BMIBL continuo… N N xx
10 BMIBL continuo… mean Mean xx.x
11 BMIBL continuo… sd SD xx.x
12 BMIBL continuo… median Median xx.x
13 BMIBL continuo… p25 Q1 xx.x
14 BMIBL continuo… p75 Q3 xx.x
15 BMIBL continuo… min Min xx.x
16 BMIBL continuo… max Max xx.x
Message
i 3 more variables: fmt_fn, warning, error
Code
mock_continuous(variables = c("AGE", "BMIBL"), statistic = ~t.test)
Condition
Error in `mock_continuous()`:
! The elements of the `statistic` argument must be <character> vector of statistic names.
Code
apply_fmt_fn(mock_dichotomous(variables = list(AGEGR1 = factor("65-80", levels = c("<65", "65-80", ">80"))), by = list(TRTA = c(
"Placebo", "Xanomeline High Dose", "Xanomeline Low Dose"))))
Message
{cards} data frame: 9 x 12
Output
group1 group1_level variable variable_level stat_name stat_label stat stat_fmt
1 TRTA Placebo AGEGR1 65-80 n n xx
2 TRTA Placebo AGEGR1 65-80 p % xx.x
3 TRTA Placebo AGEGR1 65-80 N N xx
4 TRTA Xanomeli… AGEGR1 65-80 n n xx
5 TRTA Xanomeli… AGEGR1 65-80 p % xx.x
6 TRTA Xanomeli… AGEGR1 65-80 N N xx
7 TRTA Xanomeli… AGEGR1 65-80 n n xx
8 TRTA Xanomeli… AGEGR1 65-80 p % xx.x
9 TRTA Xanomeli… AGEGR1 65-80 N N xx
Message
i 4 more variables: context, fmt_fn, warning, error
Code
mock_dichotomous(variables = list(AGEGR1 = factor(c("<65", "65-80", ">80"),
levels = c("<65", "65-80", ">80"))), by = list(TRTA = c("Placebo",
"Xanomeline High Dose", "Xanomeline Low Dose")))
Condition
Error in `mock_dichotomous()`:
! The list values of `variables` argument must be length 1.
Code
apply_fmt_fn(mock_missing(variables = c("AGE", "BMIBL")))
Message
{cards} data frame: 10 x 9
Output
variable context stat_name stat_label stat stat_fmt
1 AGE missing N_obs Vector L… xx
2 AGE missing N_miss N Missing xx
3 AGE missing N_nonmiss N Non-mi… xx
4 AGE missing p_miss % Missing xx.x
5 AGE missing p_nonmiss % Non-mi… xx.x
6 BMIBL missing N_obs Vector L… xx
7 BMIBL missing N_miss N Missing xx
8 BMIBL missing N_nonmiss N Non-mi… xx
9 BMIBL missing p_miss % Missing xx.x
10 BMIBL missing p_nonmiss % Non-mi… xx.x
Message
i 3 more variables: fmt_fn, warning, error
Code
mock_missing(variables = c("AGE", "BMIBL"), statistic = ~letters)
Condition
Error in `mock_missing()`:
! The elements of the `statistic` argument must be vector with one or more of "N_obs", "N_miss", "N_nonmiss", "p_miss", and "p_nonmiss".
Code
mock_attributes(label = list(AGE = "Age", BMIBL = "Baseline BMI"))
Message
{cards} data frame: 4 x 8
Output
variable context stat_name stat_label stat fmt_fn
1 AGE attribut… label Variable… Age <fn>
2 AGE attribut… class Variable… logical NULL
3 BMIBL attribut… label Variable… Baseline… <fn>
4 BMIBL attribut… class Variable… logical NULL
Message
i 2 more variables: warning, error
Code
mock_attributes(label = c("AGE", "BMIBL"))
Condition
Error in `mock_attributes()`:
! The `label` argument must be a named list.
Code
apply_fmt_fn(mock_total_n())
Message
{cards} data frame: 1 x 9
Output
variable context stat_name stat_label stat stat_fmt
1 ..ard_total_n.. total_n N N xx
Message
i 3 more variables: fmt_fn, warning, error
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