Monitor with R: Moisture in Sunflower Seeds Intact
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>monitor15(sflwseed$Moi_IX,sflwseed$Moi_Lab,2046,12,0.95,0.60)
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Nº Validation Samples = 1298
Nº Calibration Samples = 2046
Nº Calibration Terms = 12
Calibration SECV = 0.6
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RMSEP : 0.6473
Bias : 0.4687
SEP : 0.4466
UECLs : 0.6252
***SEP is bellow BCLs (O.K)***
Corr : 0.8977
RSQ : 0.8058
Slope : 0.8975
Intercept: 0.186
RER : 16.1 Fair
RPD : 2.21 Very Poor
BCL(+/-): 0.02432
***Bias adjustment is recommended***
Residual Std Dev is : 0.4351
***Slope adjustment is recommended***
This is a quite big validation set, see the plots:
As we can see the residuals histogram has a normal distribution.
RMSEP is quite similar to the Standard error of Cross Validation ( a little bit higher), and the SEP (Validation Error corrected by the Bias) is much better (an improvement of 0,2). So the Bias adjustment is recommended. There is a deviation of the slope, but the plots show that this should be treated with caution.
Anyway this is a long validation set, and the best option is to merge this validation data with the calibration data and recalibrate in order to improve the error and make a more robust calibration which probably will improve the statistics for the SECV and for the RMSEP in the next validation.
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