cgValidity

validAlpha

validPower

validDataFormat

validBoolean

validCharacter

validNumeric

validNumericOrCensored

validList

validAtomicVec

validArgMatch

validDotsArg

validDotsArgs

getDotsArgName

parsePartialName

reportInvalidArg

validEqualLength

validArgDigits

validArgModel

validCGOneFacGroupColDfr

validCGOneFacListedDfr

validCensor

validZeroScore

validAddConstant

validAft

validFitType

validErrorDf

validComparisonType

validEstimates

validGrpNames

validN

validCutoffWt

validDenDf


  cg package Internal Validity functions not intended for user-level
  calls. These are used on input arguments for methods and functions.


Comprehensive data analysis software, and the name "cg" stands for "compare groups." Its genesis and evolution are driven by common needs to compare administrations, conditions, etc. in medicine research and development. The current version provides comparisons of unpaired samples, i.e. a linear model with one factor of at least two levels. It also provides comparisons of two paired samples. Good data graphs, modern statistical methods, and useful displays of results are emphasized.

Bill Pikounis

Compare Groups, Analytically and Graphically

cgValidity function


  cg package Validity Checks


cgValidity: cg package Validity Checks

Description

Arguments

Details