"R" has a package called "ChemometricsWithR", where we can get data from different analytical instruments including Near Infrared (NIR).Follow the steps to plot the spectra of a gasoline data set:In this other case we plot the spectra of the NIR shootout 2002: __ data(shootout)__ wavelengths mattplot(wavelengths,shootout$calibrate.1[1,],...

To run the Cochran Q Test in R, we need to download the package of it first, since it is not built-in in R. The name of the package is RVAideMemoire authored by Maxime Hervé. Here's how to do it.Codes:Here we are installing the package named RVAideMem...

This is how I transform several columns of a dataframe, i.e., with count-data into binary coded data (this would apply also for any other conversion..).count1

Description:Total energy consumption in the United States by sector.  Vertical gray lines represent periodsof recession.Data:http://www.eia.gov/totalenergy/data/annual/index.cfm#consumptionhttp://en.wikipedia.org/wiki/List_of_recessions_in_the_Uni...

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(...

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...