Code
lmm_tidy
Output
# A tibble: 2 x 10
term estimate std.error conf.level conf.low conf.high statistic
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 (Intercept) 251. 6.82 0.95 238. 265. 36.8
2 Days 10.5 1.55 0.95 7.42 13.5 6.77
df.error p.value effect
<int> <dbl> <chr>
1 174 4.37e-84 fixed
2 174 1.88e-10 fixed
Code
lmm_glance
Output
# A tibble: 1 x 12
nobs sigma loglik aic bic remlcrit df.residual aicc r2.conditional
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> <dbl>
1 180 25.6 -872. 1756. 1775. 1744. 174 1756. 0.799
r2.marginal icc rmse
<dbl> <dbl> <dbl>
1 0.279 0.722 23.4
Code
lm_tidy
Output
# A tibble: 2 x 9
term estimate std.error conf.level conf.low conf.high statistic
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 (Intercept) 251. 6.61 0.95 238. 264. 38.0
2 Days 10.5 1.24 0.95 8.02 12.9 8.45
df.error p.value
<int> <dbl>
1 178 2.16e-87
2 178 9.89e-15
Code
lm_glance
Output
# A tibble: 1 x 13
r.squared adj.r.squared sigma statistic p.value df loglik aic bic
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 0.286 0.282 47.7 71.5 9.89e-15 1 -950. 1906. 1916.
deviance df.residual nobs rmse
<dbl> <int> <int> <dbl>
1 405252. 178 180 47.4
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