Nothing
Code
print(ard_emmeans_mean_difference, columns = "all")
Message
{cards} data frame: 8 x 10
Output
group1 variable variable_level context stat_name stat_label stat fmt_fn warning error
1 am contrast am0 - am1 emmeans_… estimate Mean Dif… 0.61 1
2 am contrast am0 - am1 emmeans_… std.error std.error 0.229 1
3 am contrast am0 - am1 emmeans_… df df Inf 1
4 am contrast am0 - am1 emmeans_… conf.low CI Lower… 0.162 1
5 am contrast am0 - am1 emmeans_… conf.high CI Upper… 1.059 1
6 am contrast am0 - am1 emmeans_… p.value p-value 0.008 1
7 am contrast am0 - am1 emmeans_… conf.level CI Confi… 0.95 1
8 am contrast am0 - am1 emmeans_… method method Least-sq… <fn>
Code
print(ard, columns = "all")
Message
{cards} data frame: 8 x 10
Output
group1 variable variable_level context stat_name stat_label stat fmt_fn warning error
1 am contrast NA emmeans_… estimate Mean Dif… <fn> There wa…
2 am contrast NA emmeans_… std.error std.error <fn> There wa…
3 am contrast NA emmeans_… df df <fn> There wa…
4 am contrast NA emmeans_… conf.low CI Lower… <fn> There wa…
5 am contrast NA emmeans_… conf.high CI Upper… <fn> There wa…
6 am contrast NA emmeans_… p.value p-value <fn> There wa…
7 am contrast NA emmeans_… conf.level CI Confi… <fn> There wa…
8 am contrast NA emmeans_… method method <fn> There wa…
"There was an error evaluating the model `glm(formula = vs ~ am + mpg, data = ., family = nothing)`\nCaused by error:\n! object 'nothing' not found"
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