Code
nice_lm_contrasts(model, group = "cyl", data = mtcars2, bootstraps = 500)
Output
Dependent Variable Comparison df t p d CI_lower
1 mpg cyl4 - cyl6 26 0.8452452 0.4056854 2.147244 1.2831781
2 mpg cyl4 - cyl8 26 0.7047256 0.4872464 3.587739 2.7405544
3 mpg cyl6 - cyl8 26 0.1302365 0.8973817 1.440495 0.7828333
CI_upper
1 2.985932
2 4.582310
3 1.978447
Code
nice_lm_contrasts(my.models, group = "cyl", data = mtcars2, bootstraps = 500)
Output
Dependent Variable Comparison df t p d CI_lower
1 mpg cyl4 - cyl6 26 0.8452452 0.4056854062 2.1472439 1.2831781
2 mpg cyl4 - cyl8 26 0.7047256 0.4872463657 3.5877388 2.6849327
3 mpg cyl6 - cyl8 26 0.1302365 0.8973817161 1.4404949 0.7982678
4 qsec cyl4 - cyl6 29 1.6103903 0.1181454384 0.7786137 -0.3761605
5 qsec cyl4 - cyl8 29 3.9396785 0.0004711519 1.5873417 0.8656254
6 qsec cyl6 - cyl8 29 1.7470521 0.0912125385 0.8087280 -0.4254810
CI_upper
1 2.985932
2 4.529380
3 2.006210
4 1.916876
5 2.270826
6 1.724369
Code
nice_lm_contrasts(model, group = "carb", data = mtcars2, bootstraps = 2500)
Output
Dependent Variable Comparison df t p d
1 mpg carb1 - carb2 23 -0.11167606 0.9120492 0.5999941
2 mpg carb1 - carb3 23 -0.11169714 0.9120326 1.8436713
3 mpg carb1 - carb4 23 0.60966169 0.5480622 1.9476509
4 mpg carb1 - carb6 23 -0.09074550 0.9284805 1.1504742
5 mpg carb1 - carb8 23 -0.43874537 0.6649399 2.1087173
6 mpg carb2 - carb3 23 -0.04660405 0.9632311 1.2436772
7 mpg carb2 - carb4 23 0.84056376 0.4092461 1.3476567
8 mpg carb2 - carb6 23 -0.04379931 0.9654424 0.5504801
9 mpg carb2 - carb8 23 -0.42623613 0.6738985 1.5087231
10 mpg carb3 - carb4 23 0.73745888 0.4683007 0.1039796
11 mpg carb3 - carb6 23 -0.01237567 0.9902326 -0.6931971
12 mpg carb3 - carb8 23 -0.41044652 0.6852769 0.2650460
13 mpg carb4 - carb6 23 -0.46023032 0.6496724 -0.7971767
14 mpg carb4 - carb8 23 -0.81847254 0.4214869 0.1610664
15 mpg carb6 - carb8 23 -0.35808238 0.7235472 0.9582431
CI_lower CI_upper
1 -0.60234627 1.8395673
2 1.03259314 2.7547687
3 0.97599639 2.9747198
4 0.34963853 2.0168157
5 1.34896979 2.9954722
6 0.47359627 1.9302522
7 0.49149010 2.2175294
8 -0.16596284 1.3000669
9 0.82474382 2.2397764
10 -0.47941740 0.6565330
11 -0.92957298 -0.4650258
12 0.03897768 0.4683794
13 -1.29702141 -0.2852145
14 -0.35371414 0.6892946
15 0.77084367 1.0930274
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.