Excel to Analytica Mappings/Math Functions

This page shows how Excel Mathematical functions translate to Analytica equivalents

ABS(x)

Analytica equivalent:

Abs(x)

ACOS(x)

Analytica equivalent:

Radians(ArcCos(x))

ACOSH(x)

Analytica equivalent:

Ln(x+Sqrt((x - 1)*(x + 1))

ASIN(x)

Analytica equivalent:

Radians(ArcSin(x))

ASINH

Analytica equivalent:

Ln(x + Sqrt(x^2 + 1))

ATAN(x)

Analytica equivalent:

Radians(ArcTan(x))

ATAN2(x, y)

Analytica equivalent:

Radians(ArcTan2(y, x))

ATANH

Analytica equivalent:

Ln((1+x)/(1 - x))/2

CEILING(x)

Analytica equivalent:

Ceil(x)

Analytica does not provide an equivalent to CEILING(x, significance). You can approximate this using:

Ceil(x/abs(significance))*significance

This is only an approximation since round-off errors can through it off slightly.

COMBIN(n, k)

Analytica equivalent:

Combinations(k, n)

COS(x)

Analytica equivalent:

Cos(Degrees(x))

COSH

Analytica equivalent:

Cosh(x)

DEGREES(angle_in_radians)

Analytica equivalent:

Degrees(angle_in_radians)

EVEN(x)

Analytica equivalent:

2*Round(x/2)

EXP(x)

Analytica equivalent:

Exp(x)

FACT(n)

Analytica equivalent:

Factorial(n)

FACTDOUBLE(n)

This function is not provided by Analytica. The following user-defined function can be used:

Function FactDouble(n : scalar)

<code<Definition: Product(Sequence(n, 1, 2))

FLOOR(x)

Analytica equivalent:

Floor(x)

Analytica does not have an exact equivalent to FLOOR(x, significance), but this can be approximated as:

Floor(x/significance) * significance

This is only an approximation because numeric roundoff may cause slight discrepancies.

GCD(number1, number2, ...)

Analytica does not have a built-in GCD function. To use GCD, add the GCD function library.ana to your model, and then use the GCD2 or GCD functions as needed. For example:

GCD([2297295, 2457, 10395]) → 189

or when A is an array of numbers indexed by I:

GCD(A, I)

INT(x)

Analytica equivalent:

Floor(x)

ISO.CEILING(number, significance)

With «significance» omitted, the equivalent is just:

Ceil(number)

For a significance that is a multiple of 10, such as 0.01 or 100, the best equivalent is to specify the number of digits, 10^-digits (so that digits==2 for 0.01 or -2 for 100) and use:

Ceil(number, digits)

For other multiples that are not a power of 10, the equivalent is:

Ceil(number/significance)*significance

LN(x)

Analytica equivalent:

Ln(x)

LOG(x, base)

Analytica equivalent:

Ln(x)/Ln(base)

LOG10(x)

Analytica equivalent:

LogTen(x)

MDETERM(array)

Analytica equivalent:

Determinant(array, I, J)

where I and J are indexes of «array».

MINVERSE(array)

Analytica equivalent:

Invert(array, I, J)

where I and J are indexes of «array».

MMULT(array1, array2)

Analytica equivalent:

MatrixMultiply(array1, I1, J1, array2, I2, J2)

where I1 and J1 are the indexes of «array1», and I2 and J2 are the indexes of «array2». J1 and I2 must be of the same length.

MOD(number, divisor)

Analytica equivalent:

Mod(number, divisor)

MROUND(number, multiple)

There is no precise equivalent to this, but you can accomplish this using:

Round(number/multiple)*multiple

MULTINOMIAL(a, b, c, ...)

If the numbers are small enough so that numeric overflow is not a problem, this can be encoded as follows, where the numbers are in array A along index I:

Factorial(Sum(A, I))/Sum(Factorial(A), I)

ODD(number)

Analytica equivalent:

Ceil((number - 1)/2)*2 + 1

PI()

Analytica equivalent:

Pi

POWER(number, power)

Analytica equivalent:

number^power

PRODUCT(number1, number2, ...)

Analytica equivalent:

number1*number2*....

or if your numbers are in an array:

Product(A, I)

QUOTIENT(numerator, denominator)

Analytica equivalent:

numerator/denominator

RADIANS(angle_in_degrees)

Analytica equivalent:

Radians(angle_in_degrees)

RAND( )

Analytica equivalent:

Random()

RANDBETWEEN(bottom, top)

Analytica equivalent:

Random(Uniform(bottom, top, integer: true))

ROUND(number, num_digits)

The Analytica equivalent of ROUND(number, 0) is:

Round(number)

ROUNDDOWN(number, num_digits)

Analytica equivalent of ROUNDDOWN(number, 0) is:

If number<0 then Ceil(x) else Floor(x)

ROUNDUP(number, num_digits)

Analytica equivalent of ROUNDUP(number, 0) is:

If number>0 then Ceil(x) else Floor(x)

SERIESSUM(x, n, m, coefficients)

When doing the equivalent in Analytica, your coefficient array will have an index, say I. The equivalent is then:

Sum(coefficients * x^(n + (@I - 1)*m), I)

SIGN(x)

Analytica equivalent:

Sign(x)

SIN(x)

Analytica equivalent:

Sin(Degrees(x))

SINH(x)

Analytica equivalent:

Sinh(x)

SQRT(x)

Analytica equivalent:

Sqrt(x)

SQRTPI(x)

Analytica equivalent:

Sqrt(x*Pi)

SUM(number1, number2, ....)

Analytica equivalent:

number1 + number2 + ...

or when the numbers are in an array:

Sum(A, I)

SUMIF(range, criteria, sum_range)

The Analytica equivalent is:

Sum(if criteria then range else 0, I)

The index I would typically be shared by both «criteria» and «range» arrays. For example:

Sum(if est > 0 then est else 0, Time)

When you are certain that range contains only finite numbers (no INF or NaN), then you can also use:

Sum(criteria * range, I)

E.g.:

Sum((est > 0) * est, I)

SUMPRODUCT(array1, array2, ....)

Analytica equivalents:

Sum(array1*array2*..., I)

Sum(Product(A, J), I)

When your arrays (in Excel) are 2-D, where the corresponding dimensions in Analytica are the indexes Row and Col, then the equivalents become:

Sum(array1*array2*..., Row, Col)

Sum(Product(A, J), Row, Col)

SUMSQ(number1, number2, ...)

Analytica equivalents:

Sum([number1, number2, ....]^2)

Sum(A^2, I)

SUMX2MY2(array-x, array_y)

Analytica equivalent:

Sum(array_x^2 - array_y^2, I)

SUMX2PY2(array_x, array_y)

Analytica equivalent:

Sum(array_x^2 + array_y^2, I)

SUMXMY2(array_x, array_y)

Analytica equivalent:

Sum((array_x-array_y)^2, I)

TAN(x)

Analytica equivalent:

Tan(Degrees(x))

TANH(x)

Analytica equivalent:

Tanh(x)

TRUNC(x, num_digits)

Analytica equivalent of TRUNC(x):

x - Mod(x, 1)

The equivalent of TRUNC(x, digits) is:

x - Mod(x, 10^(-digits))

See Also

• Excel to Analytica Mappings