FREQUENCY(data; classes)

Calculates the frequency distribution in a onecolumnarray. The default value supply and the number of intervals or classes are used to count how many values are omitted on the single intervals. Data is the array of, or reference to, the set of values to be counted. Classes is the array of the class set.

GROWTH(data_Y; data_X; new_data_X; function_type)

Calculates the points of an exponential trend in an array. Data_Y is the Y Data array. Data_X (optional) is the X Data array. New_Data_X (optional) is the X data array, in which the values are recalculated. Function_type is optional. If function_type = 0, functions in the form y = m^x are calculated. Otherwise, y = b*m^x functions are calculated.

LINEST(data_Y; data_X; linear_type; stats)

Returns the parameters of a linear trend. Data_Y is the Y Data array. Data_X (optional) is the X Data array. Linear_Type (optional). If the line goes through the zero point, then set Linear_Type = 0. Stats (optional): If Stats=0, only the regression coefficient is calculated. Otherwise, other statistics will be seen.

LOGEST(data_Y; data_X; function_type; stats)

Calculates the adjustment of the entered data as an exponential regression curve (y=b*m^x). Data_Y is the Y Data array. Data_X (optional) is the X Data array. Function_type (optional): If function_type = 0, functions in the form y = m^x are calculated. Otherwise, y = b*m^x functions are calculated. Stats (optional). If Stats=0, only the regression coefficient is calculated.

MDETERM(array)

Returns the array determinant of an array. This function returns a value in the current cell; it is not necessary to define a range for the results. Array is a square array in which the determinants are defined.

MINVERSE(array)

Returns the inverse array. Array is a square array that is to be inverted.

MMULT(array; array)

Calculates the array product of two arrays. The number of columns for array 1 must match the number of rows for array 2. The square array has an equal number of rows and columns. Array at first place is the first array used in the array product. Array at second place is the second array with the same number of rows.

MUNIT(dimensions)

Returns the unitary square array of a certain size. The unitary array is a square array where the main diagonal elements equal 1 and all other array elements are equal to 0. Dimensions refers to the size of the array unit.

SUMPRODUCT(array 1; array 2; ...array 30)

Multiplies corresponding elements in the given arrays, and returns the sum of those products. Array 1; array 2;...array 30 are arrays whose corresponding elements are to be multiplied. At least one array must be part of the argument list. If only one array is given, all array elements are summed.

SUMX2MY2(array_X; array_Y)

Returns the sum of the difference of squares of corresponding values in two arrays. Array_X is the first array whose elements are to be squared and added. Array_Y is the second array whose elements are to be squared and subtracted.

SUMX2PY2(array_X; array_Y)

Returns the sum of the sum of squares of corresponding values in two arrays. Array_X is the first array whose arguments are to be squared and added. Array_Y is the second array, whose elements are to be added and squared.

SUMXMY2(array_X; array_Y)

Adds the squares of the variance between corresponding values in two arrays. Array_X is the first array whose elements are to be subtracted and squared. Array_Y is the second array, whose elements are to be subtracted and squared.

TRANSPOSE(array)

Transposes the rows and columns of an array. Array is the array in the spreadsheet that is to be transposed.

TREND(data_Y; data_X; new_data_X; linear_Type)

Returns values along a linear trend. Data_Y is the Y Data array. Data_X (optional) is the X Data array. New_data_X (optional) is the array of the X data, which are used for recalculating values. Linear_type is optional. If linear_type = 0, then lines will be calculated through the zero point. Otherwise, offset lines will also be calculated. The default is linear_type <> 0.
