xgx_check_data {xgxr} | R Documentation |
Check data for various issues
Description
xgx_check_data
performs a series of checks on a PK or PKPD dataset
It was inspired by the dataset preparation table from
IntiQuan.
Usage
xgx_check_data(data, covariates = NULL)
Arguments
data |
the dataset to check. Must contain the above columns |
covariates |
the column names of covariates, to explore |
Details
The dataset must have the following columns
ID = unique subject identifier. USUBJID is another option if ID is not there
EVID = event ID: 1 for dose, 0 otherwise
AMT = value of the dose
TIME = time of the measurement
DV = dependent value (linear scale). will check if LIDV or LNDV are also there if DV is not
YTYPE = data measurement for LIDV. will check if CMT is there, if YTYPE is not
The dataset may also have additional columns
CENS = flag for censoring of the data because it's below the limit of quantification (BLOQ)
MDV = missing dependent variable - will be counted and then filtered out from the data check
Value
data.frame
Examples
covariates <- c("WEIGHTB", "SEX")
check <- xgx_check_data(mad_missing_duplicates, covariates)