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General
====================
Clear shell output
clear
Parameter Management
=====================
new param
Create new parameter
new dim
Create new dim parameter
new array
Create new array parameter
del
Delete paramter
Conversions (MMS type files)
============================
con .statvar
converts a MMS statvar file to csv
con .params
converts a MMS parameter file to csv
con .data
converts a MMS data file to csv
Use absolute file names or relative files within the
active project (work directory).
Constants
=====================
(from Math)
E 2.718281828459045
PI 3.141592653589793
Functions
=====================
1. Math
-------
double abs(value)
Returns the absolute value of a double value
double acos(double a)
Returns the arc cosine of a value; the returned angle is in the range
0.0 through pi.
double asin(double a)
Returns the arc sine of a value; the returned angle is in the
range -pi/2 through pi/2.
double atan(double a)
Returns the arc tangent of a value; the returned angle is in the
range -pi/2 through pi/2.
double atan2(double y, double x)
Returns the angle theta from the conversion of rectangular
coordinates (x, y) to polar coordinates (r, theta).
double cbrt(double a)
Returns the cube root of a double value.
double ceil(double a)
Returns the smallest (closest to negative infinity) double value
that is greater than or equal to the argument and is equal to a
mathematical integer.
double copySign(double magnitude, double sign)
Returns the first floating-point argument with the sign of the second
floating-point argument.
double cos(double a)
Returns the trigonometric cosine of an angle.
double cosh(double x)
Returns the hyperbolic cosine of a double value.
double exp(double a)
Returns Euler's number e raised to the power of a double value.
double expm1(double x)
Returns ex -1.
double floor(double a)
Returns the largest (closest to positive infinity) double value
that is less than or equal to the argument and is equal to a
mathematical integer.
int getExponent(double d)
Returns the unbiased exponent used in the representation of a double.
double hypot(double x, double y)
Returns sqrt(x2 +y2) without intermediate overflow or underflow.
double IEEEremainder(double f1, double f2)
Computes the remainder operation on two arguments as prescribed by
the IEEE 754 standard.
double log(double a)
Returns the natural logarithm (base e) of a double value.
double log10(double a)
Returns the base 10 logarithm of a double value.
double log1p(double x)
Returns the natural logarithm of the sum of the argument and 1.
double max(double a, double b)
Returns the greater of two double values.
double min(double a, double b)
Returns the smaller of two double values.
double nextAfter(double start, double direction)
Returns the floating-point number adjacent to the first argument in
the direction of the second argument.
double nextUp(double d)
Returns the floating-point value adjacent to d in the direction of
positive infinity.
double pow(double a, double b)
Returns the value of the first argument raised to the power of the
second argument.
double random()
Returns a double value with a positive sign, greater than or equal
to 0.0 and less than 1.0.
double rint(double a)
Returns the double value that is closest in value to the argument
and is equal to a mathematical integer.
double round(double a)
Returns the closest long to the argument.
double scalb(double d, int scaleFactor)
Return d ? 2scaleFactor rounded as if performed by a single correctly
rounded floating-point multiply to a member of the double value set.
double signum(double d)
Returns the signum function of the argument; zero if the argument is
zero, 1.0 if the argument is greater than zero, -1.0 if the argument is
less than zero.
double sin(double a)
Returns the trigonometric sine of an angle.
double sinh(double x)
Returns the hyperbolic sine of a double value.
double sqrt(double a)
Returns the correctly rounded positive square root of a double value.
double tan(double a)
Returns the trigonometric tangent of an angle.
double tanh(double x)
Returns the hyperbolic tangent of a double value.
double toDegrees(double angrad)
Converts an angle measured in radians to an approximately equivalent
angle measured in degrees.
double toRadians(double angdeg)
Converts an angle measured in degrees to an approximately equivalent
angle measured in radians.
double ulp(double d)
Returns the size of an ulp of the argument.
2. Mathx
--------
int len(double[] arr)
Returns the length of a double array
int len(int[] arr)
Returns the length of an int array
double random(double min, double max)
Returns a normal distributed random number in the range from min to max
double ramp(double start, double step)
Generates a range of values from start, incremented by step
void reset_ramp()
Resets the range generator
double round(double val, double places)
rounds a value by given decimal places
3. Stats
---------
double norm_vec(double x, double y, double z)
returns a normalized vector
double max(double[] vals)
returns the maximum value in a dataset
double min(double[] vals)
Returns a minimum value of a dataset
double range(double[] vals)
Returns the range of values in a data set
int length(double[] vals)
returns tha number of values in a data set
double median(double[] vals) {
Returns the median in a data set
double mean(double[] vals)
Returns the mean of a data set
double stddev(double[] vals)
Returns the standard deviation.
double stderr(double[] vals)
returns the standard error.
double variance(double[] vals)
Returns the variance.
double meandev(double[] vals)
Returns the mean deviation
double sum(double[] vals)
Sum of all values in a dataset.
double product(double[] vals)
Product of all values in a dataset
double quantile(double[] vals, double phi)
quantile
double lag1(double[] vals) {
Returns the lag-1 autocorrelation of a dataset
double rmse(double[] pred, double[] obs) {
Root mean square error
double bias(double[] pred, double[] obs)
bias efficiency
double nashsut(double[] prediction, double[] validation, double pow)
Nash & Sutcliffe (1970) efficiency between the log values of a test
data set and a verification data set
double nashsut_log(double[] prediction, double[] validation, double pow)
Nash & Sutcliffe (1970) efficiency between the log values of a test
data set and a verification data set
double err_sum(double[] validation, double[] prediction)
Accumulated error.
double ioa(double[] prediction, double[] validation, double pow)
index of agreement (ioa) between a test data set and a verification
data set. (Willmot & Wicks 1980)
double gradient(double[] xData, double[] yData)
Calcs coefficients of linear regression between x, y data : gradient
double intercept(double[] xData, double[] yData)
Calcs coefficients of linear regression between x, y data : intercept
double r2(double[] xData, double[] yData)
Calcs coefficients of linear regression between x, y data : r?
