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Count number of unique subjects

Source: R/collect_n_subject.R
n_subject.Rd

Count number of unique subjects

Usage

n_subject(
  id,
  group,
  par = NULL,
  na = "Missing",
  use_na = c("ifany", "no", "always")
)

Arguments

id

A character vector of subject identifier.

group

A factor vector of group name.

par

A character vector of parameter name.

na

A character string used to label missing values. Defaults to "Missing".

use_na

A character value for whether to include NA values in the table. See the useNA argument in base::table() for more details.

Value

A data frame summarizing the number of unique subjects in different arms.

Examples

library(r2rtf)

r2rtf_adae$TRTA <- factor(r2rtf_adae$TRTA)
r2rtf_adae$SEX[1:5] <- NA

n_subject(r2rtf_adae$USUBJID, r2rtf_adae$TRTA)
#>   Placebo Xanomeline High Dose Xanomeline Low Dose
#> 1      69                   79                  77
n_subject(r2rtf_adae$USUBJID, r2rtf_adae$TRTA, r2rtf_adae$SEX)
#>      name Placebo Xanomeline High Dose Xanomeline Low Dose
#> 1       F      39                   37                  44
#> 2       M      29                   42                  33
#> 3 Missing       2                    0                   0
n_subject(r2rtf_adae$USUBJID, r2rtf_adae$TRTA, r2rtf_adae$SEX, use_na = "always")
#>      name Placebo Xanomeline High Dose Xanomeline Low Dose Missing
#> 1       F      39                   37                  44       0
#> 2       M      29                   42                  33       0
#> 3 Missing       2                    0                   0       0
n_subject(r2rtf_adae$USUBJID, r2rtf_adae$TRTA, r2rtf_adae$SEX, na = "Null")
#>   name Placebo Xanomeline High Dose Xanomeline Low Dose
#> 1    F      39                   37                  44
#> 2    M      29                   42                  33
#> 3 Null       2                    0                   0