summary.nm: Analyze an NM Object
In metrumrg: Pharmacometric Tools for Data Preparation, Modeling, Simulation, and Reporting

Description Usage Arguments Details Value Author(s) References See Also

These methods test data set features related to use with NONMEM software((c) Icon Development Solutions). The tests are performed after removing comments.

## S3 method for class 'nm'
naKeys(x, ...)
## S3 method for class 'nm'
dupKeys(x, ...)
## S3 method for class 'nm'
badAmt(x, ...)
## S3 method for class 'nm'
badDv(x, ...)
## S3 method for class 'nm'
badII(x, ...)
## S3 method for class 'nm'
falseAmt(x, ...)
## S3 method for class 'nm'
falseDv(x, ...)
## S3 method for class 'nm'
noPk(x, ...)
## S3 method for class 'nm'
predoseDv(x, ...)
## S3 method for class 'nm'
zeroAmt(x, ...)
## S3 method for class 'nm'
zeroDv(x, ...)
## S3 method for class 'nm'
summary(object, by = NULL, ...)
## S3 method for class 'nm.summary'
print(x, ...)

`x`	object of class nm
`object`	object of class nm
`by`	character: column names in `object` on which to table row counts
`...`	extra arguments, ignored

badAmt: AMT is NA where EVID is 1
falseAmt: AMT defined where EVID is not 1
zeroAmt: AMT is zero where EVID is 1
badDv: DV is NA where EVID is 0
falseDv: DV is defined where EVID is not 0
zeroDv: DV is zero where EVID is zero
predoseDv: DV is defined before the first record within SUBJ where EVID is 1; NA if no EVID records.
noPk: rows where EVID is never 0 within SUBJ
badII: II is greater than 0 where ADDL is NA or 0 (unless SS > 0)
summary: all of the above, plus some other diagnostics (see value)
print: pretty-printing for return value of summary

logical of length nrow(x) unless otherwise stated.

print method used for side effects.

summary method: class nm.summary.

`rows`	`nrow(x)`
`records`	number of active (non-commented) rows
`comments`	number of commented rows
`subjects`	number of unique `ID`, active rows
`longestCase`	maximum time range among `ID`, active rows
`naKeys`	as defined elsewhere, active rows
`dupKeys`	as defined elsewhere, active rows
`badDv`	as defined, active rows
`falseDv`	as defined, active rows
`zeroDv`	as defined, active rows
`predoseDv`	as defined, active rows
`badAmt`	as defined, active rows
`falseAmt`	as defined, active rows
`zeroAmt`	as defined, active rows
`noPk`	as defined, active rows
`badII`	as defined, active rows
`table`	counts of active rows tabled by `by`, if supplied