Dear List-members, I have a data set owing some response variables with proportional values and independent variables of mixed effect. How it is possible performing a multivariate analysis of this type once the MCMCglmm package doesn't allow for binomial family? Any help would be greatly appreciated. Mayara Amescua
Multivariate analysis for proportional data
4 messages · Mayara Amescua, Ben Bolker, Rich Shepard +1 more
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On 14-12-24 08:24 AM, Mayara Amescua wrote:
Dear List-members, I have a data set owing some response variables with proportional values and independent variables of mixed effect. How it is possible performing a multivariate analysis of this type once the MCMCglmm package doesn't allow for binomial family? Any help would be greatly appreciated. Mayara Amescua [[alternative HTML version deleted]]
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MCMCglmm does allow for the binomial family, it's just called family="categorical" (for binary responses) or family="multinomial2" (for N>1) -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (GNU/Linux) iQEcBAEBAgAGBQJUmtTwAAoJEOCV5YRblxUH2CEH/3Q5oyu6IT8lxD2zjcg7PBXE N8hinIB7UWIxNSGIOkSDzh7W8o7VsuDZJI3rSRvzRSlwwkPN65TvdeVCzsHC0JkA s3l6j3+7spTe8o738gi6077UyjTITYLGYyDuuF0RnAx7eQaBIeF5EQ+q+TlzPS4E KfscB/ujnBo2ojnDj7xVQaXTJIQ2kpQAyFmE7tDlUQ+fkPaetvf3fPJNSN2c4Ffe ZU6j6nN5qCyP+eY7hKe+T67jfeyhndBsOprOEaxxxtbaU2L9N+Nt0E1NwZ8dzSNN PBK0uxgQWuA4h43imumastondeqa5IbcuTF6Wh9cLxLlv1jt70SUqRSLZgaCNlU= =3ZPH -----END PGP SIGNATURE-----
On Wed, 24 Dec 2014, Mayara Amescua wrote:
I have a data set owing some response variables with proportional values and independent variables of mixed effect. How it is possible performing a multivariate analysis of this type once the MCMCglmm package doesn't allow for binomial family?
Mayara, If your data are proportions you should look carefully at compositional data analysis (CoDA). There are seveal R packages for this, including 'compositions', 'robCompositions' (robust compositions), and 'zCompositions'. For documention and lerning there are the 'Lecture Notes on Compositoinsl Data Anayis' by Pawlowsky-Glahn, V., Egozcue, J. J., and Tolosana-Delgado, R. (available as a PDF but I don't recall the URL off-hand); 'Analyzing Compositional Data with R' by van den Boogaart, K.G. and Tolosana-Delgado, R.; and 'A Concise Guide to Compositional Data Analysis' by John Aitchison, also available as a PDF. Happy learning, Rich
On 25/12/14 04:05, Rich Shepard wrote:
On Wed, 24 Dec 2014, Mayara Amescua wrote:
I have a data set owing some response variables with proportional values and independent variables of mixed effect. How it is possible performing a multivariate analysis of this type once the MCMCglmm package doesn't allow for binomial family?
Mayara, If your data are proportions you should look carefully at compositional data analysis (CoDA). There are seveal R packages for this, including 'compositions', 'robCompositions' (robust compositions), and 'zCompositions'. For documention and lerning there are the 'Lecture Notes on Compositoinsl Data Anayis' by Pawlowsky-Glahn, V., Egozcue, J. J., and Tolosana-Delgado, R. (available as a PDF but I don't recall the URL off-hand); 'Analyzing Compositional Data with R' by van den Boogaart, K.G. and Tolosana-Delgado, R.; and 'A Concise Guide to Compositional Data Analysis' by John Aitchison, also available as a PDF.
I am of course prejudiced, but I think that in respect of compositional data analysis one would be well-advised to have a read of "Colours and Cocktails: Compositional Data Analysis. 2013 Lancaster Lecture" by J. L. Sealy and A. H. Welsh, Aust. & N. Z. J. Statist., vol. 56, 2014, pp. 145 -- 169. cheers, Rolf Turner
Rolf Turner Technical Editor ANZJS