Adds a record for derived RR based on heart rate for each by group (e.g., subject and visit) where the source parameters are available.
Note: This is a wrapper function for the more generic derive_param_computed().
The analysis value of the new parameter is derived as $$\frac{60000}{HR}$$
derive_param_rr(
dataset,
by_vars,
set_values_to = exprs(PARAMCD = "RRR"),
hr_code = "HR",
get_unit_expr,
filter = NULL
)Input dataset
The variables specified by the by_vars argument are expected to be in the dataset.
PARAMCD, and AVAL are expected as well.
The variable specified by by_vars and PARAMCD must be a unique key of
the input dataset after restricting it by the filter condition (filter
argument) and to the parameters specified by hr_code.
none
Grouping variables
For each group defined by by_vars an observation is added to the output
dataset. Only variables specified in by_vars will be populated
in the newly created records.
list of variables created by exprs(), e.g., exprs(USUBJID, VISIT)
none
Variables to be set
The specified variables are set to the specified values for the new
observations. For example exprs(PARAMCD = "MAP") defines the parameter code
for the new parameter.
List of variable-value pairs
exprs(PARAMCD = "MAP")
HR parameter code
The observations where PARAMCD equals the specified value are considered
as the heart rate assessments.
character value
"HR"
An expression providing the unit of the parameter
The result is used to check the units of the input parameters.
An expression which is evaluable in the input dataset and results in a character value
none
Filter condition
The specified condition is applied to the input dataset before deriving the new parameter, i.e., only observations fulfilling the condition are taken into account.
an unquoted condition, e.g., AVISIT == "BASELINE"
NULL
The input dataset with the new parameter added. Note, a variable will only
be populated in the new parameter rows if it is specified in by_vars.
BDS-Findings Functions for adding Parameters/Records:
default_qtc_paramcd(),
derive_expected_records(),
derive_extreme_event(),
derive_extreme_records(),
derive_locf_records(),
derive_param_bmi(),
derive_param_bsa(),
derive_param_computed(),
derive_param_doseint(),
derive_param_exist_flag(),
derive_param_exposure(),
derive_param_framingham(),
derive_param_map(),
derive_param_qtc(),
derive_param_wbc_abs(),
derive_summary_records()
library(tibble)
adeg <- tribble(
~USUBJID, ~PARAMCD, ~PARAM, ~AVAL, ~AVALU, ~VISIT,
"01-701-1015", "HR", "Heart Rate", 70.14, "beats/min", "BASELINE",
"01-701-1015", "QT", "QT Duration", 370, "ms", "WEEK 2",
"01-701-1015", "HR", "Heart Rate", 62.66, "beats/min", "WEEK 1",
"01-701-1015", "RR", "RR Duration", 710, "ms", "WEEK 2",
"01-701-1028", "HR", "Heart Rate", 85.45, "beats/min", "BASELINE",
"01-701-1028", "QT", "QT Duration", 480, "ms", "WEEK 2",
"01-701-1028", "QT", "QT Duration", 350, "ms", "WEEK 3",
"01-701-1028", "HR", "Heart Rate", 56.54, "beats/min", "WEEK 3",
"01-701-1028", "RR", "RR Duration", 842, "ms", "WEEK 2"
)
derive_param_rr(
adeg,
by_vars = exprs(USUBJID, VISIT),
set_values_to = exprs(
PARAMCD = "RRR",
PARAM = "RR Duration Rederived (ms)",
AVALU = "ms"
),
get_unit_expr = AVALU
)
#> # A tibble: 13 × 6
#> USUBJID PARAMCD PARAM AVAL AVALU VISIT
#> <chr> <chr> <chr> <dbl> <chr> <chr>
#> 1 01-701-1015 HR Heart Rate 70.1 beats/min BASELINE
#> 2 01-701-1015 QT QT Duration 370 ms WEEK 2
#> 3 01-701-1015 HR Heart Rate 62.7 beats/min WEEK 1
#> 4 01-701-1015 RR RR Duration 710 ms WEEK 2
#> 5 01-701-1028 HR Heart Rate 85.4 beats/min BASELINE
#> 6 01-701-1028 QT QT Duration 480 ms WEEK 2
#> 7 01-701-1028 QT QT Duration 350 ms WEEK 3
#> 8 01-701-1028 HR Heart Rate 56.5 beats/min WEEK 3
#> 9 01-701-1028 RR RR Duration 842 ms WEEK 2
#> 10 01-701-1015 RRR RR Duration Rederived (ms) 855. ms BASELINE
#> 11 01-701-1015 RRR RR Duration Rederived (ms) 958. ms WEEK 1
#> 12 01-701-1028 RRR RR Duration Rederived (ms) 702. ms BASELINE
#> 13 01-701-1028 RRR RR Duration Rederived (ms) 1061. ms WEEK 3