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)
1.530078
And of course the Histogram:
> hist(gasoline$octane)
The codes below was done in our regression laboratory class. Here, we run first the data in SPSS, and take the ANOVA output where we can find the computed values of SSR, SSE, and SST.ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regress...
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An introduction to R for sofware developers and data analysts Saturday March 10th, 2012 8:30-5:00pm EBay 2161 North 1st Street San Jose, California I will be presenting a one day professional development workshop on R programming for software developers and … Continue reading →
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