"R": Looking at the Data (Gasoline) – 001

February 1, 2012

(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)

Tutorials of :
Bjorn-Helge Mevik
Norwegian University of Life Sciences
Ron Wehrens
Radboud University Nijmegen

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