readNmData: Read NONMEM dataset removing any "IGNORE" rows and dealing...
In MangoTheCat/RNMImport: Tools for importing and manipulating NONMEM data.

Description Usage Arguments Value Note Author(s) Examples

Read NONMEM dataset removing any "IGNORE" rows and dealing with (possibly repeated) headers This function is designed to import either output table or raw input data The ignore string can optionally be added to remove rows from the data Any table file headers found are removed from the data - repeated headers are also removed

1	readNmData(file, ignore, accept, translate, records, null=NA, sep)

`file`	Name of the file
`ignore`	[C,1] - ignore option, see NM?$DATA[IGNORE]
`accept`	[C,1] - accept option, see NM?$DATA[ACCEPT]
`translate`	[C,1] - translate option, see NM?$DATA[TRANSLATE]
`records`	[CN,1] - number of records, see NM?$DATA[RECORDS]
`null`	[C,1] - value to replace NA, see NM?$DATA[NULL]
`sep`	character that seperates fields

A data.frame of the contents of the tables in the file

At the moment, there is an issue with the "ignore" field, in that it does not handle multiple ignore characters. This will be dealt with in future releases.

Mango Solutions

## Not run:  
inData <- readNmData(file =  "examples/theoph/data.csv") 
print(head(inData))
outData <- readNmData(file = "examples/theoph/Outtable" )
print(head(outData))

## End(Not run)