@ -374,6 +374,7 @@ type formulaFuncs struct {
// CONCATENATE
// CONCATENATE
// CONFIDENCE
// CONFIDENCE
// CONFIDENCE.NORM
// CONFIDENCE.NORM
// CONFIDENCE.T
// CORREL
// CORREL
// COS
// COS
// COSH
// COSH
@ -588,6 +589,7 @@ type formulaFuncs struct {
// PERCENTRANK
// PERCENTRANK
// PERMUT
// PERMUT
// PERMUTATIONA
// PERMUTATIONA
// PHI
// PI
// PI
// PMT
// PMT
// POISSON.DIST
// POISSON.DIST
@ -6805,7 +6807,7 @@ func (fn *formulaFuncs) CONFIDENCE(argsList *list.List) formulaArg {
// confidence value that can be used to construct the confidence interval for
// confidence value that can be used to construct the confidence interval for
// a population mean, for a supplied probability and sample size. It is
// a population mean, for a supplied probability and sample size. It is
// assumed that the standard deviation of the population is known. The syntax
// assumed that the standard deviation of the population is known. The syntax
// of the Confidence.Norm function is:
// of the function is:
//
//
// CONFIDENCE.NORM(alpha,standard_dev,size)
// CONFIDENCE.NORM(alpha,standard_dev,size)
//
//
@ -6813,6 +6815,42 @@ func (fn *formulaFuncs) CONFIDENCEdotNORM(argsList *list.List) formulaArg {
return fn . confidence ( "CONFIDENCE.NORM" , argsList )
return fn . confidence ( "CONFIDENCE.NORM" , argsList )
} }
// CONFIDENCEdotT function uses a Student's T-Distribution to calculate a
// confidence value that can be used to construct the confidence interval for
// a population mean, for a supplied probablity and supplied sample size. It
// is assumed that the standard deviation of the population is known. The
// syntax of the function is:
//
// CONFIDENCE.T(alpha,standard_dev,size)
//
func ( fn * formulaFuncs ) CONFIDENCEdotT ( argsList * list . List ) formulaArg {
if argsList . Len ( ) != 3 {
return newErrorFormulaArg ( formulaErrorVALUE , "CONFIDENCE.T requires 3 arguments" )
}
var alpha , standardDev , size formulaArg
if alpha = argsList . Front ( ) . Value . ( formulaArg ) . ToNumber ( ) ; alpha . Type != ArgNumber {
return alpha
}
if standardDev = argsList . Front ( ) . Next ( ) . Value . ( formulaArg ) . ToNumber ( ) ; standardDev . Type != ArgNumber {
return standardDev
}
if size = argsList . Back ( ) . Value . ( formulaArg ) . ToNumber ( ) ; size . Type != ArgNumber {
return size
}
if alpha . Number <= 0 || alpha . Number >= 1 || standardDev . Number <= 0 || size . Number < 1 {
return newErrorFormulaArg ( formulaErrorNUM , formulaErrorNUM )
}
if size . Number == 1 {
return newErrorFormulaArg ( formulaErrorDIV , formulaErrorDIV )
}
return newNumberFormulaArg ( standardDev . Number * calcIterateInverse ( calcInverseIterator {
name : "CONFIDENCE.T" ,
fp : alpha . Number ,
fDF : size . Number - 1 ,
nT : 2 ,
} , size . Number / 2 , size . Number ) / math . Sqrt ( size . Number ) )
}
// COVAR function calculates the covariance of two supplied sets of values. The
// COVAR function calculates the covariance of two supplied sets of values. The
// syntax of the function is:
// syntax of the function is:
//
//
@ -8891,6 +8929,22 @@ func (fn *formulaFuncs) PERMUTATIONA(argsList *list.List) formulaArg {
return newNumberFormulaArg ( math . Pow ( num , numChosen ) )
return newNumberFormulaArg ( math . Pow ( num , numChosen ) )
} }
// PHI function returns the value of the density function for a standard normal
// distribution for a supplied number. The syntax of the function is:
//
// PHI(x)
//
func ( fn * formulaFuncs ) PHI ( argsList * list . List ) formulaArg {
if argsList . Len ( ) != 1 {
return newErrorFormulaArg ( formulaErrorVALUE , "PHI requires 1 argument" )
}
x := argsList . Front ( ) . Value . ( formulaArg ) . ToNumber ( )
if x . Type != ArgNumber {
return x
}
return newNumberFormulaArg ( 0.39894228040143268 * math . Exp ( - ( x . Number * x . Number ) / 2 ) )
}
// QUARTILE function returns a requested quartile of a supplied range of
// QUARTILE function returns a requested quartile of a supplied range of
// values. The syntax of the function is:
// values. The syntax of the function is:
//
//
@ -13122,7 +13176,7 @@ func validateFrequency(freq float64) bool {
return freq == 1 || freq == 2 || freq == 4
return freq == 1 || freq == 2 || freq == 4
} }
// ACCRINT function returns the accrued interest for a security that pays
// ACCRINT function returns the accrued interest in a security that pays
// periodic interest. The syntax of the function is:
// periodic interest. The syntax of the function is:
//
//
// ACCRINT(issue,first_interest,settlement,rate,par,frequency,[basis],[calc_method])
// ACCRINT(issue,first_interest,settlement,rate,par,frequency,[basis],[calc_method])
@ -13166,7 +13220,7 @@ func (fn *formulaFuncs) ACCRINT(argsList *list.List) formulaArg {
return newNumberFormulaArg ( par . Number * rate . Number * frac1 . Number )
return newNumberFormulaArg ( par . Number * rate . Number * frac1 . Number )
} }
// ACCRINTM function returns the accrued interest for a security that pays
// ACCRINTM function returns the accrued interest in a security that pays
// interest at maturity. The syntax of the function is:
// interest at maturity. The syntax of the function is:
//
//
// ACCRINTM(issue,settlement,rate,[par],[basis])
// ACCRINTM(issue,settlement,rate,[par],[basis])
xuri
3 years ago