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...acted with summary(model)$r.squared, but that is not working in in the case with cbind. Here an example to illustrate the problem: a <- c(1,3,5,2,5,3,1,6,7,2,3,2,6) b <- c(12,15,18,10,18,22,9,7,9,23,12,17,13) c <- c(22,26,32,33,32,28,29,37,34,29,30,32,29) data <- data.frame(a,b,c) model_a <-lm(b~a,data=data) model_b <-lm(cbind(b,c)~a,data=data) summary(model_a)$r.squared summary(model_b)$r.squared How can I access r.squared in my case? Is there any option? In the end, I want a dataframe containing the the intercept, slope, p-value and r.squared for all Y's of my regress...

...1990)) count<-c(60,35,36,12,8,112,98,20,13,15,15,65,43,49,51,34,33,33,33,40,11,0) data<-data.frame(site, year, count) # > site year count # 1 a 1980 60 # 2 a 1981 35 # 3 a 1982 36 # 4 a 1993 12 # . # . # . # I ran a negative binomial glm using: library(MASS) model_a<-glm.nb(count~year, data=data) # then extracted predicted values using: py<-data.frame(seq(from=min(data$year), to=max(data$year), by=1)) p1<-predict(model_a, newdata=py, se.fit=TRUE, type='response') f1<-p1$fit plot(count~year, data=data) lines(py$year, f1) # Works perfectl...

Hello, I''m using find_with_ferret to search multiple models and it works great. The trouble is I need to filter the results using :include and :conditions. I get two errors depending on the syntax I use in the search. Reading the source, I see the retrieve_records method seems to filter the :include and :conditions so that they only apply to the relevant model when searching

So, I have 2 models A and B that share 5 common attributes and all other attributes are different. So I wanted to extract these 5 out into one common table and use has_one, belongs_to to knit it back together. So now there are 3 tables with 1 having the shared properties, we''ll call this table C. Table A id dollar_amount Table B id quantity_on_hand Table C id version My question is,