Re: [R] Statistical analysis of olive dataset

On 3/12/2016 12:39 PM, Axel wrote: The main goal of my analysis is to determine which are the fatty acids that characterize the origin of an oil. As a secondary goal, I wolud like to insert the results of the chemical analysis of an oil that I analyzed (I am a Chemistry student) in order to

Re: [R] Statistical analysis of olive dataset

Dear Axel Since you are using princomp (among other things) you might find the biplot function useful on the output of princomp. I have not studies your code in detail but you do seem to be doing several things in multiple ways using functions from different sources. I wonder whether it

Re: [R] Statistical analysis of olive dataset

Hi Axel, It seems to me that cluster analysis could be what you are seeking. Identify the clusters of different combinations of fatty acids in the oils. Do they correspond to location? If so, is there a method to predict the cluster membership of a new set of measurements? Have a look at the

Re: [R] Statistical analysis of olive dataset

Inline. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Mar 12, 2016 at 9:39 AM, Axel wrote: > Hi to all the members of

[R] Statistical analysis of olive dataset

Hi to all the members of the list! I am a novice as regards to statistical analysis and the use of the R software, so I am experimenting with the dataset "olive" included in the package "tourr". This dataset contains the results of the determination of the fatty acids in 572 samples of olive