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| RE: Polynomial regression [ Reply ] By: Johann Kleinbub on 2014-09-10 23:28 | [forum:41459] |
| Easy and clear, thank you so much!! | |
| RE: Polynomial regression [ Reply ] By: Richard Morey on 2014-09-10 23:26 | [forum:41440] |
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Hi Johann, You just need to add the result of poly() to your data.frame. Here is an example (data taken from http://www.r-bloggers.com/polynomial-regression-techniques/): Year <- c(1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969) Population <- c(4835, 4970, 5085, 5160, 5310, 5260, 5235, 5255, 5235, 5210, 5175) # Create data sample1 <- data.frame(Year, Population) sample1$Year <- sample1$Year - 1964 # Create polynomial covariates X = poly(sample1$Year, 2, raw=TRUE) colnames(X) = c("one","two") # Add them to the data.frame sample1 = cbind(X,sample1) # Perform the regression analysis (can also use generalTestBF) regressionBF(Population ~ one + two, data = sample1) |
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| Polynomial regression [ Reply ] By: Johann Kleinbub on 2014-09-10 15:23 | [forum:41437] |
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Hello everybody, Just a (hopefully) simple question. I would like to test a polynomial model with generalTestBF. In a frequentist regression I'd do: lm(y ~ poly(x, 2, raw=TRUE)) to decribe a parabolic trend of data. How could I do the same with generalTestBF? Thank you very much for your support!!! |
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