StatBlockCalc without creating data channels for results

Question

I am trying to create the min, max, and mean for a group of channels (3 of them) but I do not want to create/store them in new data channels - I would rather use the StatMin, StatMax, and StatArithMean variables.  For example, using the script
StatClipCopy = 0StatClipValue = 0StatFormat = ""StatResChn = 1Call StatBlockCalc("Channel","2-254","'[1]/Amp-Hours' - '[1]/Temperature A1'") '... StatDirec,RowNoStr,ChnNoStr
causes 3 new channels (min/max/avg) with 3 items in each channelto be created in the data portal.  Rather than creating channels, I change the StatResChn = 0 which I thought should only store the values in the variables StatMin, StatMax, and StatArithMean  
StatClipCopy = 0
StatClipValue = 0StatFormat = ""StatResChn = 0Call StatBlockCalc("Channel","2-254","'[1]/Amp-Hours' - '[1]/Temperature A1'") '... StatDirec,RowNoStr,ChnNoStr  
However this only appears to work is using a single channel (i.e. Amp-Hours or Temperature A1)
Is there a way to get multiple Statistics values (statmin, statmax, etc) over multiple channels without creating separate channels in the data portal?
Solved!
Go to Solution.

Answer 1

Jim,
When you calculate the statistics for a block of channels, the result cannot be stored in one of the channels. Instead, it goes into one of the result variables for the statistics calculation function:
The maximum would be stored in the StatTxt2(5) variable, a complete list of the result variables is below:
StatTxt2(1)
Index number
StatTxt2(2)
Measurement value sum
StatTxt2(3)
Measured value square sum
StatTxt2(4)
Minimum
StatTxt2(5)
Maximum
StatTxt2(6)
Arithmetic mean
StatTxt2(7)
Root mean square
StatTxt2(8)
Geometric mean
StatTxt2(9)
Harmonic mean
StatTxt2(10)
0.25 quantile (lower quartile)
StatTxt2(11)
0.50 quantile (median)
StatTxt2(12)
0.75 quantile (upper quartile)
StatTxt2(13)
Range
StatTxt2(14)
Standard deviation
StatTxt2(15)
Variance
StatTxt2(16)
Variation coefficient
StatTxt2(17)
Quartile distance
StatTxt2(18)
Relative variation coefficient
StatTxt2(19)
Average absolute deviation from mean
StatTxt2(20)
Average absolute deviation from median
StatTxt2(21)
Skewness
StatTxt2(22)
Kurtosis
StatTxt2(23)
Standard error
Hope that helps,
Otmar D. Foehner
Business Development Manager
DIAdem and Test Data Management
National Instruments
Austin, TX - USA
"For an optimist the glass is half full, for a pessimist it's half empty, and for an engineer is twice bigger than necessary."