(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers)
As other softwares "R" has nice tools to look to the data before to develop the calibration.Statistics for the "Y" variable (in this case octane number) like Maximun, Minimun,..,standard deviation,...are important:
> library(ChemometricsWithR)
> data(gasoline)
> summary(gasoline$octane)
Min. 1st Qu. Median Mean 3rd Qu. Max.
83.40 85.88 87.75 87.18 88.45 89.60
> sd(gasoline$octane)
[1] 1.530078
And of course the Histogram:> hist(gasoline$octane)
Bibliography:
Tutorials of :
Bjorn-Helge Mevik
Norwegian University of Life Sciences
Ron Wehrens
Radboud University NijmegenTweet
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
