Function reference • MSToolkit

All functions

addResidualError(): Add residual error to the response.

allocateTreatments(): Allocate treatment to subjects

analyzeData(): Analyze simulated data replicates

analyzeRep(): Analyse a single replicate of data

applyPredCode() parsePredCode(): Parses and applys NONMEM statements

calculateDiffsFromBase(): Calculate differences from baseline

calculateObsSummary(): Calculate Observed Data Summary

calculateSimTrialMeans(): Calculate Simulated Trial Means

checkColNames(): Check that column names are found in a data frame

checkDropOutFun(): check the user supplied drop out function

checkMacroFormat(): Check the macro format dataset

checkMicroFormat(): Check that an input data structure is a valid "Micro Evaluation" structure

checkSimAlpha(): Parse alpha value

checkSymmetricPDMatrix(): Checks if a matrix is symmetric and positive definite

compileSummary(): Compile all Micro or Macro evaluation data

convertSASIncludeRows(): Create a SAS 'IF' statement

convertToSASCode(): Convert R to SAS Statements

createContinuousCovariates(): Create a set of continuous covariates

createCovariates(): Create covariates

createDirectories(): Create replicate data, micro evaluation, and macro evaluation directories

createDiscreteCovariates(): Create covariates from a discrete distribution

createDropout(): Adds dropout to a simulated dataset

createEmptyMicro(): Create an empty micro evaluation data frame

createExternalCovariates(): Create covariates by sampling from an external file

createExternalParameters(): Sample parameters from an external file

createInterims(): Create the interim flag

createMCAR(): Missing Completely at Random

createNmMatrix(): Creates a matrix based on a "NONMEM style" vector

createNormalParameters(): Create parameters based on a multivariate normal distribution

createParameters(): Creates parameters for subjects in each replicate

createResponse(): High-level function for the response component.

createResponseVariable(): Create a response from a data set and an equation

createTimeVaryingCovariates(): Create a set of time-varying covariates

createTreatments(): Create Treatment Design Data

createTvDefinition(): Create "Typical Value" Definition

ectdStop() ectdWarning(): Error handling functions for the ectd package.

generateData(): Generate simulated data replicates

getEctdColName() setEctdColName() resetEctdColNames() getEctdPossibleColNames() setEctdPossibleColNames() matchEctdColNames(): Control of default column names

getReplicates(): Trial replicates vector

initialChar(): Convert the first letter that occurs in a string to lower case

interimAnalysis(): interim Analysis

macroEvaluation(): Macro Evaluation

microData: Micro data

microSummary: Micro summary data

parseCharInput(): Parse a comma seperated string

parseCovMatrix(): Parse a covariance matrix

parseHashString(): Process a string seperated by hash symbols or a vector (or list) of strings not containing any hash symbols

parseRangeCode(): Parse a numerical range expression

parseRCode(): Parse R Code

performAnalysis(): Runs the analysis code against one dataset

readAllData(): Read scenario data

readData(): Read scenario data

removeDirectories(): Remove directories

ReplicateSample: Replicate Sample data

setEctdDataMethod(): Current data storage method

setEctdExternalPath(): Controls paths to a set of external execution paths

setEctdVerbose(): MSToolkit package options

summarizeTrialMeans(): Summarize Trial Mean Data

validNames(): Check if a character string is a valid R variable name

writeData(): Write scenario data

writeLogFile(): Write a job log file