Hello everyone, I have been using R to do some behavioural economic analysis for my masters thesis, specifically fitting demand curves using nls.
E.g. Formula: y ~ c + b * x - a * exp(x) Parameters: Estimate Std. Error t value Pr(>|t|) c -0.445097 0.080823 -5.507 0.005304 ** b -0.777105 0.059528 -13.054 0.000199 *** a 0.011908 0.003886 3.064 0.037495 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.1046 on 4 degrees of freedom Number of iterations to convergence: 1 Achieved convergence tolerance: 1.119e-06 (1 observation deleted due to missingness) Now all the other demand literature reports the %/proportion of variance accounted for (or R squared) as well as the parameter values and standard error. >From reading these forums I can see that R squared isn't a feature in NLS with reasoning backing this up. I had a chat to a supervisor and he suggested I post to here and see if someone can give me a reference/references backing up why I shouldn't use r-squared. However he also said that it is used throughout all of the other demand literature and it would appear odd to not have it in my thesis. My second supervisor agrees it needs to be included in the analysis. Can someone please advise me how to do this in R? I suppose I could always use excel or something but I would rather make use of the code I already have and get it looping through quickly. (The R-squared is the last thing that is holding me up for finishing my results section). Any advice would be greatly appreciated. Regards Surrey :) -- View this message in context: http://r.789695.n4.nabble.com/R-Square-Help-this-debate-again-i-know-tp3316844p3316844.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
