xgxr (version 1.1.2)

xgx_check_data: 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)

Value

data.frame

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

Examples

covariates <- c("WEIGHTB", "SEX")
check <- xgx_check_data(mad_missing_duplicates, covariates)