xgx_check_data

0th

Percentile

Check data for various issues

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

Aliases
  • xgx_check_data
Examples
# NOT RUN {
covariates <- c("WEIGHTB", "SEX")
check <- xgx_check_data(mad_missing_duplicates, covariates)

# }
Documentation reproduced from package xgxr, version 1.0.0, License: MIT + file LICENSE

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