Usage
s_num_patients(x, labelstr, .N_col, count_by = NULL)
s_num_patients_content(
df,
labelstr = "",
.N_col,
.var,
required = NULL,
count_by = NULL
)
summarize_num_patients(
lyt,
var,
.stats = NULL,
.formats = NULL,
.labels = NULL,
...
)
Arguments
- x
(
character
orfactor
)
vector of patient IDs.- labelstr
(
character
)
label of the level of the parent split currently being summarized (must be present as second argument in Content Row Functions).- .N_col
(
count
)
row-wise N (row group count) for the group of observations being analyzed (i.e. with no column-based subsetting) that is passed byrtables
.- count_by
(
character
orfactor
)
optional vector to be combined withx
when countingnonunqiue
records.- df
(
data frame
)
data set containing all analysis variables.- .var, var
(
string
)
single variable name that is passed byrtables
when requested by a statistics function.- required
(
character
orNULL
) optional name of a variable that is required to be non-missing.- lyt
(
layout
)
input layout where analyses will be added to.- .stats
(
character
)
statistics to select for the table.- .formats
(named
character
orlist
)
formats for the statistics.- .labels
(named
character
)
labels for the statistics (without indent).- ...
additional arguments for the lower level functions.
Value
A list with:
unique
: vector of count and percentage.nonunique
: vector of count.unique_count
: count.
Functions
s_num_patients()
: Statistics function which counts the number of unique patients, the corresponding percentage taken with respect to the total number of patients, and the number of non-unique patients.s_num_patients_content()
: Counts the number of unique patients in a column (variable), the corresponding percentage taken with respect to the total number of patients, and the number of non-unique patients in the column. Function serves as a wrapper that carries over both expected argumentsdf
andlabelstr
incfun
ofsummarize_row_groups()
.summarize_num_patients()
: Layout creating function which adds content rows using the statistics functions_num_patients_content()
and desired format.
Examples
# Use the statistics function to count number of unique and nonunique patients.
s_num_patients(x = as.character(c(1, 1, 1, 2, 4, NA)), labelstr = "", .N_col = 6L)
#> $unique
#> [1] 3.0 0.5
#>
#> $nonunique
#> [1] 5
#>
#> $unique_count
#> [1] 3
#> attr(,"label")
#> [1] " (n)"
#>
s_num_patients(
x = as.character(c(1, 1, 1, 2, 4, NA)),
labelstr = "",
.N_col = 6L,
count_by = as.character(c(1, 1, 2, 1, 1, 1))
)
#> $unique
#> [1] 3.0 0.5
#>
#> $nonunique
#> [1] 4
#>
#> $unique_count
#> [1] 3
#> attr(,"label")
#> [1] " (n)"
#>
# Count number of unique and non-unique patients.
df <- data.frame(
USUBJID = as.character(c(1, 2, 1, 4, NA)),
EVENT = as.character(c(10, 15, 10, 17, 8))
)
s_num_patients_content(df, .N_col = 5, .var = "USUBJID")
#> $unique
#> [1] 3.0 0.6
#>
#> $nonunique
#> [1] 4
#>
#> $unique_count
#> [1] 3
#> attr(,"label")
#> [1] " (n)"
#>
df_by_event <- data.frame(
USUBJID = as.character(c(1, 2, 1, 4, NA)),
EVENT = as.character(c(10, 15, 10, 17, 8))
)
s_num_patients_content(df_by_event, .N_col = 5, .var = "USUBJID")
#> $unique
#> [1] 3.0 0.6
#>
#> $nonunique
#> [1] 4
#>
#> $unique_count
#> [1] 3
#> attr(,"label")
#> [1] " (n)"
#>
s_num_patients_content(df_by_event, .N_col = 5, .var = "USUBJID", count_by = "EVENT")
#> $unique
#> [1] 3.0 0.6
#>
#> $nonunique
#> [1] 3
#>
#> $unique_count
#> [1] 3
#> attr(,"label")
#> [1] " (n)"
#>