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At-a-glance coefficient table
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| #looks familiar | |
| summaryfunction2<-function(x,y){ | |
| signs<-substr(as.character(sign(x)),1,1) | |
| signs[signs=="1"]<-"+" | |
| significance<-cut(abs(y), c(0, 0.001, 0.01, 0.05, Inf), labels=c("***", "**", "*", ""), right=FALSE) | |
| paste(signs, significance) | |
| } | |
| #use that function in a function | |
| process<-function(lm){ | |
| coef<-data.frame(summary(lm)$coefficients)[-1,-c(2,3)] | |
| coef$comb<-summaryfunction2(coef$Estimate,coef$Pr...t..) | |
| vec<-t(coef[3]) | |
| vec<-data.frame(vec) | |
| vec$dependent<-as.character(lm$terms[[2]]) | |
| vec | |
| } | |
| lm1<-lm(Sepal.Length~Petal.Length+Petal.Width,data=iris) | |
| lm2<-lm(Sepal.Width~Petal.Length,data=iris) | |
| lm3<-lm(Petal.Length~Sepal.Width+I(Sepal.Width^2),data=iris) | |
| a<-process(lm1) | |
| b<-process(lm2) | |
| full<-merge(a,b,all=T,sort=F) #ugly recursive step | |
| b<-process(lm3) | |
| full<-merge(full,b,all=T,sort=F) #ugly recursive step again | |
| #(etc.) | |
| full | |
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