NaN, NaN, NaN, 6.2, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,ĥ, NaN, NaN, 5.2, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 7, NaN, NaN, NaN, 5.6, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 2.2, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 2.8, NaN, 4, NaN, NaN, NaN,Ħ, 5, NaN, NaN, NaN, 4.4, NaN, 2, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 5, NaN, NaN, NaN, 5.8, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 4.6, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 5.8, 2.6, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,Ħ.8, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 7, NaN, The Dataset: structure(list(swls = c(5.2, NaN, 7, 6, NaN, NaN, NaN, NaN, NaN, The really strange is that lm() works as expected with other factors (e.g., sex) Kontraste können nur auf Faktoren mit 2 oder mehr Stufen angewendet werden
However, lm() still refuses to work: lm(swls ~ exp.factor, data = minimal)įehler in `contrasts<-`(`*tmp*`, value = contr.funs]) : There seems also to be enough variation in the data, so similar threads I found do not apply here: table(minimal$exp.factor) $ exp.factor: Factor w/ 2 levels "erlebt","nicht erlebt": 1 1 1 1 2 2 2 2 NA 2. $ swls : num 5.2 NaN 7 6 NaN NaN NaN NaN NaN NaN. The data, however, seem to be okay (data set attached below): str(minimal) When running the model, R throws the error `Error in `contrasts<-`(`*tmp*`, value = contr.funs]) : `
I encountered a problem in R when trying to run a simple linear model with a categorical variable as predictor.
0 kommentar(er)
