You mean non-linearity? You can use a lack of fit test by using: anova(lm(y ~ x+factor(x), data)) The F-value of factor(x) is the lack of fit test, and when lineair, the p value should be <0.05 when using 0.95% significance.
Bart Wensui Liu wrote: > > in statistics, is there a measure for curvature? how to detect and > quantify the curvature between 2 variales instead of using > visualization? > thank you so much! > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/any-measure-for-curvature-tf4837912.html#a13853341 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.
