search for: wonnacott

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2009 Jan 27
3
How to compare two regression line slopes
...ents > fit2 <- lm(y~x, df2) > s2 <- summary(fit2)$coefficients > db <- (s2[2,1]-s1[2,1]) > sd <- sqrt(s2[2,2]^2+s1[2,2]^2) > df <- (fit1$df.residual+fit2$df.residual) > td <- db/sd > 2*pt(-abs(td), df) [1] 0.9510506 However, I also found a procedure in Wonnacott & Wonnacott, that is based on the use of a mute variable D that will have a binary value according to the group to which a given point belongs (group : D=0; group 2: D=1). Then the equation that is computed is as follow: y = b0 + b1.x + D.b2.x which can be computed in R with: > fit &...
2005 Sep 12
5
remedial stats education
In short: I didn't take enough stats courses in college. Now I am working on scientific research and I feel somewhat lost when it comes to designing the statistical framework. I have looked through the books at: http://www.r-project.org/doc/bib/R-books.html I even tried to read [17] Julian J. Faraway. Linear Models with R. This book is too advanced. It helped a little bit but I still