Point by Point to the incorrect values
I use a loop that retrieves data every 10 seconds or more (ends up being a little more, but is not question.) and whenever it gets data (temperature), it passes through the gap of Point by Point VI in order to produce a cumulative gap and the average. Previously, I used the Point by Point VI average to get the average, but learned that the gap VI had included average.
My wired terminals is x, standard deviation, mean
Unwired: sample length, initialize, error
I ran the VI overnight for a total of about 18 hours, where he collected every 10 seconds (6690 data points). The temperature that has been read began at about 27 ° C and cooled to 25 ° C and then is held. On the façade, the average temperature (for the trial) was 24,977 0.017 ± ° C, which does not seem right to me. So I imported the data into Excel and used '= AVERAGE()' and 'STDEV() =' to get a value of ± 25.860 0,774 ° C.
Why is there a difference in these values? The only thing I can think is that the gap of Point by Point VI back on, but why can't think. Perhaps because I do not connect any value to the "sample length" Terminal, but I assumed that it would use the entire sample when unwired.
In fact, the function does exactly what it's supposed to. If you read the documentation, you'll see that the VI has so many samples for the calculation (default is 100). If it was actually a mobile average/std deviation. Help:
the sample length is the length of each set of incoming data. The VI does the calculation for each set of data. The default value is 100. When you set the length of the sample to zero, the VI calculates a cumulative solution for the input data as soon as you have called or initialized the VI. When the setting of the length of the sample is greater than zero, the VI calculates the solution for only the new set of input data.
So what you really want to do is the length of the sample in 0.
Tags: NI Software
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First of all, after post 79, you need to know how to format your code.
Your last request reads as follows:
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