It's not possible to log the median on datataker? If not, how can i access the sample data that statistic sub-schedule uses to make the median calculation by hand?
Hi Saulo,
There is no median function in dataTaker, you will need to log every reading, unload them and listed in order to find the median.
If the number of data is small, I might help you to get the median by formula in the program.
How many data point that you need to consider per cycle?
Histogram function might help you as well if all of the data points are integer and you know the lower and upper limit
Best regards,
Rudy Gunawan
Hi Rudy!
I need to work with 60 samples to statistical calculation. (10s sample, 10minutes unloading)
my approach can be something like:
10s subschedule statistic
10s schedule to build the samples array
10min schedule to calculate median and unload with standard deviation, average, maximum and minimum
but i cant find any info about variables array..there's no array variable on dt language?
Hi Saulo,
dataTaker has no variable array feature.
Histogram might help you determining the median (specially if you know the boundary of your data).
BEGIN"HISTO"
1..13CV=0
RA1S
1TT(H25.0:35.0:1..13CV)
RBX
11CV("Under" ) 1..10CV 12CV("Over" ) 13CV("Total" )
END
The above program will lock the range between 25 to 35 degC.
Assuming you have this data 23, 24, 28,30, 30, 32, 35, 36
This will be produce by the logger:
Under 2.0 'represent the number of data less than 25
1CV 0.0 'represent the number of data between 25...25.999
2CV 0.0 'represent the number of data between 26...26.999
3CV 0.0 'represent the number of data between 27...27.999
4CV 1.0 'represent the number of data between 28...28.999
5CV 0.0 'represent the number of data between 29...29.999
6CV 2.0 'represent the number of data between 30...30.999
7CV 0.0 'represent the number of data between 31...31.999
8CV 1.0 'represent the number of data between 32...32.999
9CV 0.0 'represent the number of data between 33...33.999
10CV 0.0 'represent the number of data between 34...34.999
Over 2.0 'represent the number of data at 35 or above
Total 8.0 'represent total data
Then you can manually determine the median or you may use another conditional statements to do it for you automatically.
Best regards,
Rudy Gunawan
