Code
print(out, zap_small = TRUE)
Output
Estimated Marginal Means
batch | Proportion | SE | 95% CI | z
------------------------------------------------
1 | 0.31 | 0.01 | [0.29, 0.34] | 26.00
2 | 0.23 | 0.01 | [0.21, 0.26] | 16.76
3 | 0.28 | 0.01 | [0.25, 0.31] | 18.78
4 | 0.19 | 0.01 | [0.17, 0.21] | 19.96
5 | 0.20 | 0.01 | [0.18, 0.22] | 19.16
6 | 0.19 | 0.01 | [0.17, 0.21] | 17.83
7 | 0.12 | 0.01 | [0.11, 0.14] | 15.57
8 | 0.12 | 0.01 | [0.10, 0.13] | 14.56
9 | 0.11 | 0.01 | [0.09, 0.12] | 12.25
10 | 0.07 | 0.01 | [0.06, 0.09] | 12.78
Variable predicted: yield
Predictors modulated: batch
Predictors averaged: temp (3.3e+02)
Predictions are on the response-scale.
Code
print(out, zap_small = TRUE)
Output
Model-based Predictions
batch | Predicted | 95% CI
--------------------------------
1 | 0.31 | [0.28, 0.35]
2 | 0.23 | [0.21, 0.25]
3 | 0.28 | [0.25, 0.31]
4 | 0.19 | [0.17, 0.21]
5 | 0.20 | [0.18, 0.22]
6 | 0.19 | [0.17, 0.21]
7 | 0.12 | [0.11, 0.14]
8 | 0.12 | [0.10, 0.13]
9 | 0.11 | [0.09, 0.12]
10 | 0.07 | [0.06, 0.09]
Variable predicted: yield
Predictors modulated: batch
Predictors controlled: temp (3.3e+02)
Predictions are on the response-scale.
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