applyPredCode: Parses and applys NONMEM statements

In MSToolkit: The MSToolkit library for clinical trial design

Description

Parses NONMEM statements and attempts to apply them to a data frame in order to create a response variable

Usage

applyPredCode(df, 
  pred, 
  respCol = getEctdColName("Response"), 
  report = TRUE, 
  keepCols = respCol, 
  verbose = getEctdVerbose()) 

parsePredCode(model, respCol = getEctdColName("Response")) 

Arguments

df	(Required) Data frame to which parsed NONMEM statements are to be applied
pred	Character vector of NONMEM statements
respCol	Response column name ( iven by getEctdColName by default)
report	Logical: should a textual report be produced?
keepCols	Character vector of column names to retain in the return dataset
verbose	Logical: Should verbose logging be used? ( given by getEctdVerbose by default)
model	File containing analysis code (for R or SAS) or an R function for analysis (R only)

Details

The applyPredCode function calls the parsePredCode function in order to convert the NONMEM statements to executable R statements. The applyPredCode function then iteratively "tries" to apply these statements to the data ("df"), producing a textual report of the process if "report" is set to TRUE. The "keepCols" columns from the updated dataset are then returned

Value

A dataset with new columns added

Author(s)

Mike K Smith [e-mail]

Examples

parsePredCode(c(
	"X = 1",
	"IF (X.EQ.1.OR.Y.GT.0) STUD = 1",
 	"NEWVAR = THETA(1) + EXP(ETA(2))**LOG(EPS(1))"
))

MSToolkit documentation built on May 2, 2019, 6:30 p.m.