Campbell CR1000 - Data Output: Calculating Running Average

Section 7. Installation
Table 27. CRBasic Example. Array Assigned Expression: Fill Array Dimension
'Example: Fill Array Dimension
Public A(3)
Public B(3,2)
Public C(4,3,2)
Public Da(3,2) = {1,1,1,1,1,1}
Public Db(3,2)
Public DMultiplier(3) = {10,100,1000}
Public DOffset(3) = {1,2,3}
BeginProg
Scan(1,Sec,0,0)
A() = 1 'set all elements of 1D array or first dimension to 1
B(1,1)() = 100 'set B(1,1) and B(1,2) to 100
B(-2,1)() = 200 'set B(2,1) and B(3,1) to 200
B(-2,2)() = 300 'set B(2,2) and B(3,2) to 300
C(1,-1,1)() = A() 'copy A(1), A(2), and A(3) into C(1,1,1), C(1,2,1), and C(1,3,1),
'respectively
C(2,-1,1)() = A() * 1.8 + 32 'scale and then copy A(1), A(2), and A(3) into C(2,1,1),
'C(2,2,1), and C(2,3,1), respectively
'scale the first column of Da by corresponding multiplier and offset
'copy the result into the first column of Db
'then set second column of Db to NAN
Db(-1,1)() = Da(-1,1)() * DMultiplier() + DOffset()
Db(-1,2)() = NAN
NextScan
EndProg
7.9.6 Data Output: Calculating Running Average
The AvgRun() instruction calculates a running average of a measurement or
calculated value. A running average (Dest) is the average of the last N values
where N is the number of values, as expressed in the running-average equation:
where X
N
is the most recent value of the source variable and X
N-1
is the previous
value (X
1
is the oldest value included in the average, i.e., N-1 values back from
the most recent). NANs are ignored in the processing of AvgRun() unless all
values in the population are NAN.
AvgRun() uses high-precision math, so a 32-bit extension of the mantissa is saved
and used internally resulting in 56 bits of precision.
Note This instruction should not normally be inserted within a For/Next
construct with the Source and Destination parameters indexed and Reps set to 1.
Doing so will perform a single running average, using the values of the different
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