[R-sig-eco] MAFA function
Could any of you point me towards a package that supports a min/max autocorrelation factor analysis in R? Or has anyone coded a function for this analysis that you would be willing to share? Thanks, Kathy Mills [[alternative HTML version deleted]] ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Re: [R-sig-eco] MAFA function
See: http://dx.doi.org/10.1051/alr/2009020 There is R code in the supplementary materials. HTH G On Tue, 2012-04-03 at 10:50 -0400, Katherine Mills wrote: Could any of you point me towards a package that supports a min/max autocorrelation factor analysis in R? Or has anyone coded a function for this analysis that you would be willing to share? Thanks, Kathy Mills [[alternative HTML version deleted]] ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology -- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Dr. Gavin Simpson [t] +44 (0)20 7679 0522 ECRC, UCL Geography, [f] +44 (0)20 7679 0565 Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ UK. WC1E 6BT. [w] http://www.freshwaters.org.uk %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
[R-sig-eco] Output for interactions in models that do not include all main effects
Dear all, I have R code to run AIC including multi-model inference. I am running into a problem in calling the output from models where both parameters in an interaction are not included as main effects. In R, the interaction will be called depending on the parameter that was used as the only main effect in the model. So, I end up generating 2 different interactions (e.g., Rlipid:RFGinit vs RFGinit:Rlipid) that are actually the same. This becomes a problem in the remaining R code that requires weighted and summed values for the parameter and SE estimates. Thus, I would like to call the interaction consistently across models. See the following code: -- lm(formula = Slipid ~ Rlipid + RFGinit:Rlipid, data = DataSet) Residuals: Min 1Q Median 3Q Max -74.075 -19.047 7.233 20.445 45.391 Coefficients: Estimate Std. Error t value Pr(|t|) (Intercept)120.338475.30405 22.688 2e-16 *** Rlipid 0.304930.23615 1.2910.202 Rlipid:RFGinit -0.020990.01773 -1.1840.241 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 30.88 on 60 degrees of freedom Multiple R-squared: 0.02721,Adjusted R-squared: -0.005221 F-statistic: 0.839 on 2 and 60 DF, p-value: 0.4372 lm(formula = Slipid ~ RFGinit + Rlipid:RFGinit, data = DataSet) Residuals: Min 1Q Median 3QMax -76.35 -21.63 7.09 22.46 45.71 Coefficients: Estimate Std. Error t value Pr(|t|) (Intercept)131.028546 8.717104 15.031 2e-16 *** RFGinit -0.933483 0.742083 -1.2580.213 RFGinit:Rlipid 0.003926 0.009283 0.4230.674 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 30.9 on 60 degrees of freedom Multiple R-squared: 0.02586,Adjusted R-squared: -0.00661 F-statistic: 0.7964 on 2 and 60 DF, p-value: 0.4556 -- Is there a way to tell R to call the interaction based on alphabetical order of the 2 interaction terms and not based on the term that was used as a main effect? Thanks very much for any insight. Kristen Gorman ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Re: [R-sig-eco] Output for interactions in models that do not include all main effects
Maybe your solution can be found here: http://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-does-the-output-from-anova_0028_0029-depend-on-the-order-of-factors-in-the-model_003f 2012/4/3 Kristen Gorman kgor...@sfu.ca Dear all, I have R code to run AIC including multi-model inference. I am running into a problem in calling the output from models where both parameters in an interaction are not included as main effects. In R, the interaction will be called depending on the parameter that was used as the only main effect in the model. So, I end up generating 2 different interactions (e.g., Rlipid:RFGinit vs RFGinit:Rlipid) that are actually the same. This becomes a problem in the remaining R code that requires weighted and summed values for the parameter and SE estimates. Thus, I would like to call the interaction consistently across models. See the following code: -- lm(formula = Slipid ~ Rlipid + RFGinit:Rlipid, data = DataSet) Residuals: Min 1Q Median 3Q Max -74.075 -19.047 7.233 20.445 45.391 Coefficients: Estimate Std. Error t value Pr(|t|) (Intercept)120.338475.30405 22.688 2e-16 *** Rlipid 0.304930.23615 1.2910.202 Rlipid:RFGinit -0.020990.01773 -1.1840.241 --- Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 Residual standard error: 30.88 on 60 degrees of freedom Multiple R-squared: 0.02721,Adjusted R-squared: -0.005221 F-statistic: 0.839 on 2 and 60 DF, p-value: 0.4372 lm(formula = Slipid ~ RFGinit + Rlipid:RFGinit, data = DataSet) Residuals: Min 1Q Median 3QMax -76.35 -21.63 7.09 22.46 45.71 Coefficients: Estimate Std. Error t value Pr(|t|) (Intercept)131.028546 8.717104 15.031 2e-16 *** RFGinit -0.933483 0.742083 -1.2580.213 RFGinit:Rlipid 0.003926 0.009283 0.4230.674 --- Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 Residual standard error: 30.9 on 60 degrees of freedom Multiple R-squared: 0.02586,Adjusted R-squared: -0.00661 F-statistic: 0.7964 on 2 and 60 DF, p-value: 0.4556 -- Is there a way to tell R to call the interaction based on alphabetical order of the 2 interaction terms and not based on the term that was used as a main effect? Thanks very much for any insight. Kristen Gorman ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology -- Currículo: http://lattes.cnpq.br/7541377569511492 [[alternative HTML version deleted]] ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
