Unexplained error with anova_test from rstatix

Question

I am having trouble running a repeated measures anova with the package rstatix. I want to run a repeated-measures anova, where patients from two treatment groups have reported an outcome in two different time points.

anova_test(data = test1, dv = outcome, wid = id, within = c(group, time))

However, I get an error although I have no missing data in the dataset.

Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases

I'd greatly appreciate any help! Thanks

Data:

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1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L), .Label = c("-1", "5"), class = "factor"), 
    outcome = c(5, 6, 16, 15, 8, 6, 15, 0, 5, 6, 6, 2, 8, 9, 
    11, 4, 13, 11, 13, 11, 6, 4, 10, 8, 18, 0, 11, 12, 10, 0, 
    7, 2, 10, 9, 10, 8, 10, 8, 21, 11, 6, 3, 25, 17, 6, 3, 11, 
    8, 7, 3, 14, 9, 16, 0, 10, 11, 7, 6, 13, 5, 12, 8, 8, 11, 
    5, 3, 11, 9, 13, 15, 10, 12, 16, 5, 27, 28, 7, 7, 11, 5, 
    26, 25, 7, 0, 6, 7, 5, 7, 16, 16, 9, 4, 18, 14, 6, 6, 22, 
    0, 10, 0, 7, 0, 10, 8, 7, 5, 8, 6, 7, 6, 11, 2, 6, 8, 24, 
    22, 8, 7, 9, 11, 14, 5, 10, 7, 9, 10, 5, 9, 13, 2, 10, 7, 
    16, 0, 18, 8, 8, 10, 21, 20, 5, 8, 6, 5, 9, 10, 7, 2, 14, 
    6, 10, 7, 9, 10, 9, 11, 5, 3, 11, 10, 5, 5, 16, 6, 8, 20, 
    5, 6, 6, 4, 5, 0, 10, 9, 6, 1, 9, 6, 17, 9, 14, 10, 11, 8, 
    12, 17, 10, 7, 12, 8, 7, 2, 27, 23, 22, 27, 12, 9, 6, 9, 
    10, 5, 9, 5, 6, 6, 20, 18, 11, 0, 9, 5, 5, 0, 23, 0, 15, 
    13, 13, 6, 24, 26, 24, 3, 10, 9, 12, 7, 17, 4, 14, 6, 5, 
    2, 12, 6, 7, 10, 6, 2, 10, 8, 14, 1, 10, 5, 8, 4, 10, 7, 
    19, 12, 11, 9, 0, 0, 8, 6, 11, 5, 6, 10, 14, 9, 18, 0, 9, 
    2, 20, 24, 8, 8, 10, 6, 21, 0, 8, 9, 5, 4, 27, 20, 10, 8, 
    8, 2, 28, 28, 8, 2, 11, 7, 10, 10, 8, 5, 10, 10, 10, 7, 8, 
    8, 6, 5, 7, 7, 16, 0, 21, 23, 11, 3, 10, 10, 7, 8, 5, 8, 
    5, 0, 6, 4, 6, 0, 10, 0, 9, 17, 7, 8, 10, 10, 6, 3, 9, 0, 
    12, 0, 18, 0, 11, 8, 13, 3, 10, 7, 9, 6, 6, 2, 12, 8, 7, 
    6, 15, 8, 20, 9, 18, 3, 13, 6, 16, 2, 10, 14, 6, 4, 5, 5, 
    10, 4, 6, 6, 10, 8, 11, 8, 9, 6, 5, 4, 7, 4, 9, 14, 12, 11, 
    15, 4, 14, 11, 9, 4, 11, 5, 13, 13, 5, 5, 6, 1, 6, 2, 6, 
    5, 8, 0, 17, 7, 13, 12, 10, 0, 6, 1, 13, 16, 7, 0, 6, 3, 
    10, 8, 12, 8, 9, 4, 16, 6, 26, 19, 7, 10, 14, 13, 12, 0, 
    8, 3, 12, 5, 8, 6, 7, 2, 9, 7, 22, 11, 17, 13, 12, 10, 8, 
    6, 11, 8, 9, 8, 12, 15, 5, 0, 5, 5, 28, 28, 9, 15, 12, 5, 
    8, 4, 10, 0, 7, 8, 8, 4, 7, 6, 10, 4, 7, 3, 10, 5, 15, 16, 
    16, 16, 9, 7, 7, 28, 7, 4, 13, 15, 10, 12, 14, 12, 13, 10, 
    7, 4, 13, 4, 4, 5, 17, 19, 14, 0, 15, 10, 7, 4, 4, 0, 12, 
    11, 12, 3, 9, 0, 7, 11, 14, 11, 12, 0, 23, 14, 7, 6, 28, 
    28, 12, 5, 12, 1, 5, 1, 13, 11, 9, 4, 6, 6, 10, 10, 7, 0, 
    10, 8, 12, 8, 7, 0, 5, 9, 7, 0, 5, 3, 4, 0, 14, 14, 7, 8, 
    18, 14, 11, 9, 13, 11, 9, 7, 5, 0, 8, 8, 9, 11, 10, 6, 10, 
    7, 9, 3, 14, 6, 5, 6, 28, 28, 20, 11, 7, 0, 11, 4, 7, 0, 
    13, 7, 11, 9, 11, 0, 16, 8, 8, 3, 19, 11, 14, 0, 6, 0, 21, 
    11, 7, 9, 8, 4, 17, 5, 11, 7, 6, 7, 8, 7, 12, 5, 22, 18, 
    11, 5, 18, 12, 8, 0, 8, 8, 16, 12, 5, 0, 9, 8, 18, 10, 15, 
    15, 7, 0, 19, 20, 16, 0, 15, 9, 5, 0, 11, 9, 8, 0, 25, 26, 
    10, 16, 13, 8, 21, 20, 10, 8, 10, 0, 15, 14, 13, 15, 19, 
    0, 10, 11, 14, 1, 25, 2, 12, 5, 5, 2, 5, 3, 5, 10, 12, 7, 
    8, 8, 25, 26, 10, 15, 9, 8, 10, 6, 3, 3, 13, 0, 16, 9, 24, 
    4, 16, 13, 14, 1, 12, 6, 7, 5, 9, 6, 11, 7, 5, 0, 12, 8, 
    6, 11, 17, 11, 22, 0, 1, 3, 25, 15, 9, 3, 7, 0, 6, 0, 10, 
    19, 7, 0, 5, 0, 7, 0, 10, 16, 15, 21, 8, 4, 28, 28, 3, 4, 
    17, 8, 3, 2, 18, 11, 9, 0, 8, 10, 1, 6, 16, 17, 3, 2, 6, 
    0, 6, 4, 13, 10, 11, 9, 2, 0, 13, 0, 2, 0, 5, 0, 7, 4, 10, 
    1, 11, 0, 12, 5, 12, 4, 9, 1, 11, 3, 2, 3, 11, 9, 4, 0, 11, 
    6, 13, 5, 5, 13, 21, 0, 8, 8, 9, 0, 10, 0, 5, 9, 11, 0, 6, 
    0, 9, 0, 12, 3, 10, 0, 11, 5, 14, 11, 9, 0, 10, 0, 16, 0, 
    9, 10, 5, 4, 10, 0, 2, 0, 18, 7, 5, 3, 7, 7, 4, 0, 8, 0, 
    7, 0, 2, 0, 27, 0, 6, 4, 8, 10, 19, 3, 5, 0, 8, 10, 11, 11, 
    8, 0, 8, 1, 2, 0, 9, 15, 9, 5, 6, 0, 21, 0, 7, 10, 10, 10, 
    7, 2, 9, 4, 6, 3, 9, 0, 13, 1, 11, 6, 19, 5, 18, 0, 6, 1, 
    15, 19, 13, 15, 0, 0, 5, 16, 7, 0, 22, 2, 15, 0, 9, 0, 11, 
    1, 2, 0, 5, 0, 9, 0, 6, 0, 10, 0, 6, 0, 8, 0, 9, 0, 18, 2, 
    6, 2, 5, 0, 8, 0, 12, 0, 4, 2, 10, 0, 15, 0, 8, 5, 12, 0, 
    6, 0, 8, 0, 9, 0, 9, 0, 4, 0, 9, 0, 7, 0, 11, 0, 20, 0, 8, 
    0, 2, 0, 16, 0, 3, 0, 8, 0, 17, 0, 18, 0, 16, 0, 5, 0, 10, 
    0, 14, 0, 6, 0, 10, 0, 28, 0, 0, 0, 10, 0, 12, 0, 8, 0, 5, 
    0, 8, 0, 18, 0, 15, 0, 5, 0, 18, 0, 12, 0, 20, 0, 1, 0, 3, 
    0, 10, 0, 17, 0, 7, 0, 15, 0, 9, 0, 8, 0, 11, 0, 6, 0, 10, 
    0, 3, 0, 11, 0, 8, 0, 7, 0, 1, 0, 11, 0, 27, 0, 15, 0, 9, 
    0, 13, 0, 7, 0, 9, 0, 5, 0, 5, 0, 10, 0, 14, 0, 8, 0, 3, 
    0, 6, 0, 11, 0, 17, 0, 6, 0, 12, 0, 7, 0, 14, 0, 25, 0, 7, 
    0, 7, 0, 10, 0, 7, 0, 7, 0, 5, 0, 7, 0, 6, 0, 13, 0, 6, 0, 
    1, 0, 8, 0, 6, 0, 8, 0, 9, 0, 9, 0, 11, 0, 4, 0, 14, 0, 1, 
    0, 5, 0, 10, 0, 9, 0, 14, 0, 18, 0, 12, 0, 8, 0, 7, 0, 10, 
    0, 4, 0, 6, 0, 8, 0, 14, 0, 14, 0, 6, 0, 6, 0, 5, 0, 14, 
    0, 0, 0, 7, 0, 9, 0, 5, 0, 27, 0, 9, 0, 11, 0, 7, 0, 7, 0, 
    6, 0, 5, 0, 15, 0, 15, 0, 19, 0, 15, 0, 14, 0, 7, 0, 2, 0, 
    6, 0, 8, 0, 6, 0, 9, 0, 6, 0, 12, 0, 8, 0, 12, 0, 10, 0, 
    10, 0, 11, 0, 9, 0, 5, 0, 5, 0, 18, 0, 4, 0, 18, 0, 12, 0, 
    20, 0, 8, 0, 11, 0, 9, 0), group = structure(c(1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
    1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 
    1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 
    1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 
    2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 
    2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
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Paul Tansley · Accepted Answer

You haven't specified the formula so it doesn't know which test to run. Try adding formula = outcome ~ group*time

So the code reads

rstatix::anova_test(data = test1, formula = outcome ~ group*time, 
dv = outcome, 
wid = id2, 
within = c(group, time))

ANOVA Table (type II tests)

      Effect DFn  DFd       F        p p<.05      ges
1      group   1 1286   0.806 3.70e-01       0.000626
2       time   1 1286 303.565 3.35e-61     * 0.191000
3 group:time   1 1286   0.309 5.78e-01       0.000240

This was just a quick example, check out the rstatix anova_test documentation to make sure you're using the right formula for the right test.

EDIT Slow day so I thought I would try your data with the repeated measures as you wanted but it just gave the error, I have no idea why all the data looks good. The following code should work, though its an interpretation of linear mixed model. This seems to be stronger and more flexible than the repeated measures anova and a lot of papers are moving over to this method instead. A quick google should tell you why.

You don't need to install or run the report function but it gives a pretty useful interpretation of the model. I won't paste the output here as there is a lot of it, but worth checking out.

devtools::install_github("easystats/report")
library(report)
install.packages("lmerTest")
library(lmerTest)
fit <- lmer(outcome ~ group*time + (1|id), data=test1)
anova(fit)
report(fit)

This should give you the following output: anova(fit):

Type III Analysis of Variance Table with Satterthwaite's method
           Sum Sq Mean Sq NumDF DenDF  F value Pr(>F)    
group        10.3    10.3     1   643   0.5613 0.4540    
time       9846.7  9846.7     1   643 538.0482 <2e-16 ***
group:time   10.0    10.0     1   643   0.5474 0.4597    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Unexplained error with anova_test from rstatix

Answers (1)

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