29.4.4 Overview of X–Y data operations

You can derive new X–Y data by operating on previously saved X–Y data objects. This overview lists the operations you can perform on X–Y data. The following keys are used to classify function arguments:

Text keys for X–Y operations:

A	The argument can be an X–Y data object, a floating point number, or an integer.
X	The argument must be an X–Y data object.
I	The argument must be an integer.
F	The argument must be a floating point number.

The following list indicates the section where you can find more information for each X–Y data operation.

Mathematical operations:

+	“Using addition on X–Y data objects,” Section 29.4.5
–	“Using negation or subtraction on X–Y data objects,” Section 29.4.6
*	“Using multiplication on X–Y data objects,” Section 29.4.7
/	“Using division on X–Y data objects,” Section 29.4.8
1/A	“Using division on X–Y data objects,” Section 29.4.8
abs(A)	“Taking the absolute value of an X–Y data object,” Section 29.4.9
avg(X,X,...)	“Finding the average of two or more X–Y data objects,” Section 29.4.10
currentAvg(X)	“Finding the current average of an X–Y data object,” Section 29.4.11
differentiate(X)	“Differentiating an X–Y data object,” Section 29.4.12
integrate(X)	“Integrating an X–Y data object,” Section 29.4.13
interpolate(X)	“Interpolating an X–Y data object,” Section 29.4.14
linearize(X,CONSTANT)	“Linearizing an X–Y data object,” Section 29.4.15
linearize(X,LINEAR)	“Linearizing an X–Y data object,” Section 29.4.15
normalize(X)	“Normalizing an X–Y data object,” Section 29.4.16
sqrt(A)	“Taking the square root of an X–Y data object,” Section 29.4.17
srss(X,X,...)	“Taking the square root of the sum of the squares of two or more X–Y data objects,” Section 29.4.18
sum(A,A,...)	“Summing two or more X–Y data objects,” Section 29.4.19
vectorMagnitude(X,X,X)	“Calculating vector magnitudes,” Section 29.4.20

Trigonometric operations:

For more information, see “Applying trigonometric functions to an X–Y data object,” Section 29.4.21.

cos(A)	Take the cosine of an X–Y data object.
acos(A)	Take the arccosine of an X–Y data object.
cosh(A)	Take the hyperbolic cosine of an X–Y data object.
sin(A)	Take the sine of an X–Y data object.
asin(A)	Take the arcsine of an X–Y data object.
sinh(A)	Take the hyperbolic sine of an X–Y data object.
tan(A)	Take the tangent of an X–Y data object.
atan(A)	Take the arctangent of an X–Y data object.
tanh(A)	Take the hyperbolic tangent of an X–Y data object.

Logarithmic and exponential operations:

exp(A)	“Taking the exponential of an X–Y data object,” Section 29.4.22
log(A)	“Applying logarithmic functions to an X–Y data object,” Section 29.4.23
log10(A)	“Applying logarithmic functions to an X–Y data object,” Section 29.4.23
power(A,A)	“Raising an X–Y data object to a power,” Section 29.4.24

Filtering and smoothing operations:

butterworthFilter(X,F)	“Applying Butterworth filtering to an X–Y data object,” Section 29.4.25
chebyshev1Filter(X,F,F)	“Applying Chebyshev Type I or Type II filtering to an X–Y data object,” Section 29.4.26
chebyshev2Filter(X,F,F)	“Applying Chebyshev Type I or Type II filtering to an X–Y data object,” Section 29.4.26
decimateFilter(X,I)	“Reducing the sample size of an X–Y data object,” Section 29.4.27
saeGeneralFilter(X,F)	“Applying SAE filtering to an X–Y data object,” Section 29.4.28
sae60Filter(X,F)	“Applying SAE filtering to an X–Y data object,” Section 29.4.28
sae100Filter(X,F)	“Applying SAE filtering to an X–Y data object,” Section 29.4.28
sae180Filter(X,F)	“Applying SAE filtering to an X–Y data object,” Section 29.4.28
sae600Filter(X,F)	“Applying SAE filtering to an X–Y data object,” Section 29.4.28
sae1000Filter(X,F)	“Applying SAE filtering to an X–Y data object,” Section 29.4.28
sineButterworthFilter(X,F)	“Applying sine-Butterworth filtering to an X–Y data object,” Section 29.4.29
smooth(X,I)	“Smoothing an X–Y data object,” Section 29.4.30

Range and magnitude related operations:

currentMax(X)	“Finding the current maximum of an X–Y data object,” Section 29.4.31
currentMin(X)	“Finding the current minimum of an X–Y data object,” Section 29.4.32
currentRng(X)	“Finding the current range of an X–Y data object,” Section 29.4.33
maxEnvelope(A,A,...)	“Finding the current maximum of two or more X–Y data objects,” Section 29.4.34
minEnvelope(A,A,...)	“Finding the current minimum of two or more X–Y data objects,” Section 29.4.35
rng(A,A,...)	“Finding the current range of two or more X–Y data objects,” Section 29.4.36

Other operations:

append(X,X,...)	“Appending two or more X–Y data objects,” Section 29.4.37
combine(X,X)	“Combining two X–Y data objects,” Section 29.4.38
degreeToRadian(A)	“Converting the angular units used for X–Y data objects,” Section 29.4.39
radianToDegree(A)	“Converting the angular units used for X–Y data objects,” Section 29.4.39
swap(X)	“Swapping the order of an X–Y data object,” Section 29.4.40

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