I am trying to compare the two models below
H1 <- lm(y ~ x1 + x2, data = df)
H2 <- lm(y ~ x1 + x2 + x3, data = df)
anova(H1, H2)
However, I get an error message:
Error: Argument 'data' must be a data frame
And when I define the data, then I get another error message:
anova(H1, H2, data = df)
Error in .subset2(x, i) : recursive indexing failed at level 2
I tried to look at the models and they show (not sure if I am looking at the correct one, but):
H1
model list[89 x 3] (S3: data.frame) A data.frame with 89 rows and 3 columns
y double[89] 3.00 3.50 4.25 5.11 1.00 ...
x1 double[89] 19 24 31 35 20 21 ...
x2 double[89] 1 1 1 1 2 1 1 ...
H2
model list[89 x 3] (S3: data.frame) A data.frame with 89 rows and 4 columns
y double[89] 3.00 3.50 4.25 5.11 1.00 ...
x1 double[89] 19 24 31 35 20 21 ...
x2 double[89] 1 1 1 1 2 1 1 ...
x3 double[89] 0 0 0 0 1 0 0
And both models have xlevels list[0] Let me know if you need more information.
I have quadruple checked but the df is data.frame, so I have no clue why I keep getting the error message..
I would really appreciate it if you could help me out with this!