> fattyac_msc[66,1:6]
C16_0 C16_1 C18_0 C18_1 C18_2 C18_3
66 15.8 2 6 62.3 10.2 0.6
Let´s compare with the summary
> summary(fattyac_msc)
C16_0 C16_1
Min. : 0.00 Min. :1.500
1st Qu.:20.10 1st Qu.:2.000
Median :21.00 Median :2.200
Mean :21.34 Mean :2.267
3rd Qu.:22.90 3rd Qu.:2.500
Max. :26.00 Max. :3.500
C18_0 C18_1
Min. : 5.800 Min. :43.80
1st Qu.: 8.600 1st Qu.:51.95
Median : 9.400 Median :54.50
Mean : 9.711 Mean :53.93
3rd Qu.:10.500 3rd Qu.:56.15
Max. :14.000 Max. :62.30
C18_2 C18_3
Min. : 5.500 Min. :0.3000
1st Qu.: 7.600 1st Qu.:0.5000
Median : 8.500 Median :0.6000
Mean : 8.503 Mean :0.6032
3rd Qu.: 9.100 3rd Qu.:0.7000
Max. :14.700 Max. :1.3000
Sample 66 has the higher value for C18:1 (oleic acid), but it is not isolated in the histogram. For some reasons this sample differs from the others especially from 100 to 1050 nm. We will wait forward to take a decision about this sample.
Until now we have been managing with the X matrix.
Now we start to study the Y matrix. First thing to do is to have a look to the summary, and of course to the histograms.
If you want to follow this tutorial, please send me an e_mail. I´ll send you the “txt” file attached.
Until now we have been managing with the X matrix.
Now we start to study the Y matrix. First thing to do is to have a look to the summary, and of course to the histograms.
If you want to follow this tutorial, please send me an e_mail. I´ll send you the “txt” file attached.
> hist(C16_0,col="red")
> hist(C16_1,col="blue")
> hist(C18_0,col="green")
> hist(C18_1,col="brown")
> hist(C18_2,col="violet")
> hist(C18_3,col="orange")
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