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

February 1, 2012
By

(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 Nijmegen




To leave a comment for the author, please follow the link and comment on his blog: NIR-Quimiometría.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags:

Comments are closed.