tests/testthat/_snaps/print_md.md
In strengejacke/ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
ggpredict, print_md
Code
print(out)
Output
+----------+-----------+--------------+
| barthtot | Predicted | 95% CI |
+==========+===========+==============+
| c161sex: 1 |
+----------+-----------+--------------+
| 0 | 13.48 | 12.10, 14.86 |
+----------+-----------+--------------+
| 17 | 12.96 | 11.88, 14.03 |
+----------+-----------+--------------+
| 33 | 12.46 | 11.66, 13.27 |
+----------+-----------+--------------+
| 50 | 11.94 | 11.37, 12.51 |
+----------+-----------+--------------+
| 67 | 11.42 | 10.94, 11.89 |
+----------+-----------+--------------+
| 100 | 10.40 | 9.59, 11.21 |
+----------+-----------+--------------+
| c161sex: 2 |
+----------+-----------+--------------+
| 0 | 14.38 | 13.52, 15.25 |
+----------+-----------+--------------+
| 17 | 13.74 | 13.08, 14.40 |
+----------+-----------+--------------+
| 33 | 13.13 | 12.65, 13.62 |
+----------+-----------+--------------+
| 50 | 12.49 | 12.17, 12.81 |
+----------+-----------+--------------+
| 67 | 11.85 | 11.58, 12.11 |
+----------+-----------+--------------+
| 100 | 10.60 | 10.07, 11.12 |
+==========+===========+==============+
| Adjusted for: c12hour = 42.10, |
| e42dep = 2.93 |
+==========+===========+==============+
Table: Predicted values of Negative impact with 7 items
Code
print(out)
Output
+----------+----------------------+
| barthtot | Predicted (95% CI) |
+==========+======================+
| c161sex: 1 |
+----------+----------------------+
| 0 | 13.48 (12.10, 14.86) |
+----------+----------------------+
| 17 | 12.96 (11.88, 14.03) |
+----------+----------------------+
| 33 | 12.46 (11.66, 13.27) |
+----------+----------------------+
| 50 | 11.94 (11.37, 12.51) |
+----------+----------------------+
| 67 | 11.42 (10.94, 11.89) |
+----------+----------------------+
| 100 | 10.40 (9.59, 11.21) |
+----------+----------------------+
| c161sex: 2 |
+----------+----------------------+
| 0 | 14.38 (13.52, 15.25) |
+----------+----------------------+
| 17 | 13.74 (13.08, 14.40) |
+----------+----------------------+
| 33 | 13.13 (12.65, 13.62) |
+----------+----------------------+
| 50 | 12.49 (12.17, 12.81) |
+----------+----------------------+
| 67 | 11.85 (11.58, 12.11) |
+----------+----------------------+
| 100 | 10.60 (10.07, 11.12) |
+==========+======================+
| Adjusted for: c12hour = 42.10, |
| e42dep = 2.93 |
+==========+======================+
Table: Predicted values of Negative impact with 7 items
Code
print(out)
Output
+----------+---------+----------------------+
| barthtot | c161sex | Predicted (95% CI) |
+==========+=========+======================+
| 0 | 1 | 13.48 (12.10, 14.86) |
+----------+---------+----------------------+
| 17 | | 12.96 (11.88, 14.03) |
+----------+---------+----------------------+
| 33 | | 12.46 (11.66, 13.27) |
+----------+---------+----------------------+
| 50 | | 11.94 (11.37, 12.51) |
+----------+---------+----------------------+
| 67 | | 11.42 (10.94, 11.89) |
+----------+---------+----------------------+
| 100 | | 10.40 (9.59, 11.21) |
+----------+---------+----------------------+
| 0 | 2 | 14.38 (13.52, 15.25) |
+----------+---------+----------------------+
| 17 | | 13.74 (13.08, 14.40) |
+----------+---------+----------------------+
| 33 | | 13.13 (12.65, 13.62) |
+----------+---------+----------------------+
| 50 | | 12.49 (12.17, 12.81) |
+----------+---------+----------------------+
| 67 | | 11.85 (11.58, 12.11) |
+----------+---------+----------------------+
| 100 | | 10.60 (10.07, 11.12) |
+==========+=========+======================+
| Adjusted for: c12hour = 42.10, e42dep = |
| 2.93 |
+==========+=========+======================+
Table: Predicted values of Negative impact with 7 items
Code
print(out)
Output
Table: Model-based Contrasts Analysis
|Level1 | Level2 | Difference| SE| 95% CI| t(825)| p|
|:---------------------------------------|:---------------------------------------|----------:|----:|-------------:|------:|-----:|
|low level of education, Female | low level of education, Male | 0.80| 0.64| (-0.45, 2.05)| 1.25| 0.210|
|intermediate level of education, Male | low level of education, Male | 0.56| 0.65| (-0.73, 1.84)| 0.85| 0.396|
|intermediate level of education, Female | low level of education, Male | 0.78| 0.59| (-0.38, 1.93)| 1.32| 0.186|
|high level of education, Male | low level of education, Male | 0.35| 0.77| (-1.16, 1.86)| 0.45| 0.651|
|high level of education, Female | low level of education, Male | 1.64| 0.66| ( 0.35, 2.93)| 2.49| 0.013|
|intermediate level of education, Male | low level of education, Female | -0.25| 0.46| (-1.15, 0.66)| -0.53| 0.593|
|intermediate level of education, Female | low level of education, Female | -0.02| 0.36| (-0.72, 0.68)| -0.06| 0.949|
|high level of education, Male | low level of education, Female | -0.45| 0.61| (-1.65, 0.75)| -0.74| 0.460|
|high level of education, Female | low level of education, Female | 0.84| 0.47| (-0.08, 1.75)| 1.80| 0.072|
|intermediate level of education, Female | intermediate level of education, Male | 0.22| 0.39| (-0.53, 0.98)| 0.58| 0.563|
|high level of education, Male | intermediate level of education, Male | -0.21| 0.63| (-1.44, 1.03)| -0.33| 0.742|
|high level of education, Female | intermediate level of education, Male | 1.09| 0.49| ( 0.13, 2.04)| 2.23| 0.026|
|high level of education, Male |intermediate level of education, Female | -0.43| 0.56| (-1.53, 0.67)| -0.77| 0.443|
|high level of education, Female |intermediate level of education, Female | 0.86| 0.39| ( 0.09, 1.63)| 2.19| 0.029|
|high level of education, Female | high level of education, Male | 1.29| 0.63| ( 0.05, 2.53)| 2.04| 0.042|
Variable predicted: neg_c_7
Predictors contrasted: c172code, c161sex
Predictors averaged: c12hour (42), e42dep (2.9)
Code
print(out)
Output
Table: Model-based Contrasts Analysis
|Level1 | Level2 | Difference| SE| 95% CI| t(825)| p|
|:---------------------------------------|:---------------------------------------|----------:|----:|-------------:|------:|-----:|
|low level of education, Female | low level of education, Male | 0.80| 0.64| (-0.45, 2.05)| 1.25| 0.210|
|intermediate level of education, Male | low level of education, Male | 0.56| 0.65| (-0.73, 1.84)| 0.85| 0.396|
|intermediate level of education, Female | low level of education, Male | 0.78| 0.59| (-0.38, 1.93)| 1.32| 0.186|
|high level of education, Male | low level of education, Male | 0.35| 0.77| (-1.16, 1.86)| 0.45| 0.651|
|high level of education, Female | low level of education, Male | 1.64| 0.66| ( 0.35, 2.93)| 2.49| 0.013|
|intermediate level of education, Male | low level of education, Female | -0.25| 0.46| (-1.15, 0.66)| -0.53| 0.593|
|intermediate level of education, Female | low level of education, Female | -0.02| 0.36| (-0.72, 0.68)| -0.06| 0.949|
|high level of education, Male | low level of education, Female | -0.45| 0.61| (-1.65, 0.75)| -0.74| 0.460|
|high level of education, Female | low level of education, Female | 0.84| 0.47| (-0.08, 1.75)| 1.80| 0.072|
|intermediate level of education, Female | intermediate level of education, Male | 0.22| 0.39| (-0.53, 0.98)| 0.58| 0.563|
|high level of education, Male | intermediate level of education, Male | -0.21| 0.63| (-1.44, 1.03)| -0.33| 0.742|
|high level of education, Female | intermediate level of education, Male | 1.09| 0.49| ( 0.13, 2.04)| 2.23| 0.026|
|high level of education, Male |intermediate level of education, Female | -0.43| 0.56| (-1.53, 0.67)| -0.77| 0.443|
|high level of education, Female |intermediate level of education, Female | 0.86| 0.39| ( 0.09, 1.63)| 2.19| 0.029|
|high level of education, Female | high level of education, Male | 1.29| 0.63| ( 0.05, 2.53)| 2.04| 0.042|
Variable predicted: neg_c_7
Predictors contrasted: c172code, c161sex
Predictors averaged: c12hour (42), e42dep (2.9)
Code
print(out)
Output
Table: Model-based Contrasts Analysis
|Level1 | Level2 | Difference| SE| 95% CI| t(825)| p|
|:---------------------------------------|:---------------------------------------|----------:|----:|-------------:|------:|-----:|
|low level of education, Female | low level of education, Male | 0.80| 0.64| (-0.45, 2.05)| 1.25| 0.210|
|intermediate level of education, Male | low level of education, Male | 0.56| 0.65| (-0.73, 1.84)| 0.85| 0.396|
|intermediate level of education, Female | low level of education, Male | 0.78| 0.59| (-0.38, 1.93)| 1.32| 0.186|
|high level of education, Male | low level of education, Male | 0.35| 0.77| (-1.16, 1.86)| 0.45| 0.651|
|high level of education, Female | low level of education, Male | 1.64| 0.66| ( 0.35, 2.93)| 2.49| 0.013|
|intermediate level of education, Male | low level of education, Female | -0.25| 0.46| (-1.15, 0.66)| -0.53| 0.593|
|intermediate level of education, Female | low level of education, Female | -0.02| 0.36| (-0.72, 0.68)| -0.06| 0.949|
|high level of education, Male | low level of education, Female | -0.45| 0.61| (-1.65, 0.75)| -0.74| 0.460|
|high level of education, Female | low level of education, Female | 0.84| 0.47| (-0.08, 1.75)| 1.80| 0.072|
|intermediate level of education, Female | intermediate level of education, Male | 0.22| 0.39| (-0.53, 0.98)| 0.58| 0.563|
|high level of education, Male | intermediate level of education, Male | -0.21| 0.63| (-1.44, 1.03)| -0.33| 0.742|
|high level of education, Female | intermediate level of education, Male | 1.09| 0.49| ( 0.13, 2.04)| 2.23| 0.026|
|high level of education, Male |intermediate level of education, Female | -0.43| 0.56| (-1.53, 0.67)| -0.77| 0.443|
|high level of education, Female |intermediate level of education, Female | 0.86| 0.39| ( 0.09, 1.63)| 2.19| 0.029|
|high level of education, Female | high level of education, Male | 1.29| 0.63| ( 0.05, 2.53)| 2.04| 0.042|
Variable predicted: neg_c_7
Predictors contrasted: c172code, c161sex
Predictors averaged: c12hour (42), e42dep (2.9)
strengejacke/ggeffects documentation built on April 13, 2025, 5:11 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
ggpredict, print_md
Code
print(out)
Output
+----------+-----------+--------------+
| barthtot | Predicted | 95% CI |
+==========+===========+==============+
| c161sex: 1 |
+----------+-----------+--------------+
| 0 | 13.48 | 12.10, 14.86 |
+----------+-----------+--------------+
| 17 | 12.96 | 11.88, 14.03 |
+----------+-----------+--------------+
| 33 | 12.46 | 11.66, 13.27 |
+----------+-----------+--------------+
| 50 | 11.94 | 11.37, 12.51 |
+----------+-----------+--------------+
| 67 | 11.42 | 10.94, 11.89 |
+----------+-----------+--------------+
| 100 | 10.40 | 9.59, 11.21 |
+----------+-----------+--------------+
| c161sex: 2 |
+----------+-----------+--------------+
| 0 | 14.38 | 13.52, 15.25 |
+----------+-----------+--------------+
| 17 | 13.74 | 13.08, 14.40 |
+----------+-----------+--------------+
| 33 | 13.13 | 12.65, 13.62 |
+----------+-----------+--------------+
| 50 | 12.49 | 12.17, 12.81 |
+----------+-----------+--------------+
| 67 | 11.85 | 11.58, 12.11 |
+----------+-----------+--------------+
| 100 | 10.60 | 10.07, 11.12 |
+==========+===========+==============+
| Adjusted for: c12hour = 42.10, |
| e42dep = 2.93 |
+==========+===========+==============+
Table: Predicted values of Negative impact with 7 items
Code
print(out)
Output
+----------+----------------------+
| barthtot | Predicted (95% CI) |
+==========+======================+
| c161sex: 1 |
+----------+----------------------+
| 0 | 13.48 (12.10, 14.86) |
+----------+----------------------+
| 17 | 12.96 (11.88, 14.03) |
+----------+----------------------+
| 33 | 12.46 (11.66, 13.27) |
+----------+----------------------+
| 50 | 11.94 (11.37, 12.51) |
+----------+----------------------+
| 67 | 11.42 (10.94, 11.89) |
+----------+----------------------+
| 100 | 10.40 (9.59, 11.21) |
+----------+----------------------+
| c161sex: 2 |
+----------+----------------------+
| 0 | 14.38 (13.52, 15.25) |
+----------+----------------------+
| 17 | 13.74 (13.08, 14.40) |
+----------+----------------------+
| 33 | 13.13 (12.65, 13.62) |
+----------+----------------------+
| 50 | 12.49 (12.17, 12.81) |
+----------+----------------------+
| 67 | 11.85 (11.58, 12.11) |
+----------+----------------------+
| 100 | 10.60 (10.07, 11.12) |
+==========+======================+
| Adjusted for: c12hour = 42.10, |
| e42dep = 2.93 |
+==========+======================+
Table: Predicted values of Negative impact with 7 items
Code
print(out)
Output
+----------+---------+----------------------+
| barthtot | c161sex | Predicted (95% CI) |
+==========+=========+======================+
| 0 | 1 | 13.48 (12.10, 14.86) |
+----------+---------+----------------------+
| 17 | | 12.96 (11.88, 14.03) |
+----------+---------+----------------------+
| 33 | | 12.46 (11.66, 13.27) |
+----------+---------+----------------------+
| 50 | | 11.94 (11.37, 12.51) |
+----------+---------+----------------------+
| 67 | | 11.42 (10.94, 11.89) |
+----------+---------+----------------------+
| 100 | | 10.40 (9.59, 11.21) |
+----------+---------+----------------------+
| 0 | 2 | 14.38 (13.52, 15.25) |
+----------+---------+----------------------+
| 17 | | 13.74 (13.08, 14.40) |
+----------+---------+----------------------+
| 33 | | 13.13 (12.65, 13.62) |
+----------+---------+----------------------+
| 50 | | 12.49 (12.17, 12.81) |
+----------+---------+----------------------+
| 67 | | 11.85 (11.58, 12.11) |
+----------+---------+----------------------+
| 100 | | 10.60 (10.07, 11.12) |
+==========+=========+======================+
| Adjusted for: c12hour = 42.10, e42dep = |
| 2.93 |
+==========+=========+======================+
Table: Predicted values of Negative impact with 7 items
Code
print(out)
Output
Table: Model-based Contrasts Analysis
|Level1 | Level2 | Difference| SE| 95% CI| t(825)| p|
|:---------------------------------------|:---------------------------------------|----------:|----:|-------------:|------:|-----:|
|low level of education, Female | low level of education, Male | 0.80| 0.64| (-0.45, 2.05)| 1.25| 0.210|
|intermediate level of education, Male | low level of education, Male | 0.56| 0.65| (-0.73, 1.84)| 0.85| 0.396|
|intermediate level of education, Female | low level of education, Male | 0.78| 0.59| (-0.38, 1.93)| 1.32| 0.186|
|high level of education, Male | low level of education, Male | 0.35| 0.77| (-1.16, 1.86)| 0.45| 0.651|
|high level of education, Female | low level of education, Male | 1.64| 0.66| ( 0.35, 2.93)| 2.49| 0.013|
|intermediate level of education, Male | low level of education, Female | -0.25| 0.46| (-1.15, 0.66)| -0.53| 0.593|
|intermediate level of education, Female | low level of education, Female | -0.02| 0.36| (-0.72, 0.68)| -0.06| 0.949|
|high level of education, Male | low level of education, Female | -0.45| 0.61| (-1.65, 0.75)| -0.74| 0.460|
|high level of education, Female | low level of education, Female | 0.84| 0.47| (-0.08, 1.75)| 1.80| 0.072|
|intermediate level of education, Female | intermediate level of education, Male | 0.22| 0.39| (-0.53, 0.98)| 0.58| 0.563|
|high level of education, Male | intermediate level of education, Male | -0.21| 0.63| (-1.44, 1.03)| -0.33| 0.742|
|high level of education, Female | intermediate level of education, Male | 1.09| 0.49| ( 0.13, 2.04)| 2.23| 0.026|
|high level of education, Male |intermediate level of education, Female | -0.43| 0.56| (-1.53, 0.67)| -0.77| 0.443|
|high level of education, Female |intermediate level of education, Female | 0.86| 0.39| ( 0.09, 1.63)| 2.19| 0.029|
|high level of education, Female | high level of education, Male | 1.29| 0.63| ( 0.05, 2.53)| 2.04| 0.042|
Variable predicted: neg_c_7
Predictors contrasted: c172code, c161sex
Predictors averaged: c12hour (42), e42dep (2.9)
Code
print(out)
Output
Table: Model-based Contrasts Analysis
|Level1 | Level2 | Difference| SE| 95% CI| t(825)| p|
|:---------------------------------------|:---------------------------------------|----------:|----:|-------------:|------:|-----:|
|low level of education, Female | low level of education, Male | 0.80| 0.64| (-0.45, 2.05)| 1.25| 0.210|
|intermediate level of education, Male | low level of education, Male | 0.56| 0.65| (-0.73, 1.84)| 0.85| 0.396|
|intermediate level of education, Female | low level of education, Male | 0.78| 0.59| (-0.38, 1.93)| 1.32| 0.186|
|high level of education, Male | low level of education, Male | 0.35| 0.77| (-1.16, 1.86)| 0.45| 0.651|
|high level of education, Female | low level of education, Male | 1.64| 0.66| ( 0.35, 2.93)| 2.49| 0.013|
|intermediate level of education, Male | low level of education, Female | -0.25| 0.46| (-1.15, 0.66)| -0.53| 0.593|
|intermediate level of education, Female | low level of education, Female | -0.02| 0.36| (-0.72, 0.68)| -0.06| 0.949|
|high level of education, Male | low level of education, Female | -0.45| 0.61| (-1.65, 0.75)| -0.74| 0.460|
|high level of education, Female | low level of education, Female | 0.84| 0.47| (-0.08, 1.75)| 1.80| 0.072|
|intermediate level of education, Female | intermediate level of education, Male | 0.22| 0.39| (-0.53, 0.98)| 0.58| 0.563|
|high level of education, Male | intermediate level of education, Male | -0.21| 0.63| (-1.44, 1.03)| -0.33| 0.742|
|high level of education, Female | intermediate level of education, Male | 1.09| 0.49| ( 0.13, 2.04)| 2.23| 0.026|
|high level of education, Male |intermediate level of education, Female | -0.43| 0.56| (-1.53, 0.67)| -0.77| 0.443|
|high level of education, Female |intermediate level of education, Female | 0.86| 0.39| ( 0.09, 1.63)| 2.19| 0.029|
|high level of education, Female | high level of education, Male | 1.29| 0.63| ( 0.05, 2.53)| 2.04| 0.042|
Variable predicted: neg_c_7
Predictors contrasted: c172code, c161sex
Predictors averaged: c12hour (42), e42dep (2.9)
Code
print(out)
Output
Table: Model-based Contrasts Analysis
|Level1 | Level2 | Difference| SE| 95% CI| t(825)| p|
|:---------------------------------------|:---------------------------------------|----------:|----:|-------------:|------:|-----:|
|low level of education, Female | low level of education, Male | 0.80| 0.64| (-0.45, 2.05)| 1.25| 0.210|
|intermediate level of education, Male | low level of education, Male | 0.56| 0.65| (-0.73, 1.84)| 0.85| 0.396|
|intermediate level of education, Female | low level of education, Male | 0.78| 0.59| (-0.38, 1.93)| 1.32| 0.186|
|high level of education, Male | low level of education, Male | 0.35| 0.77| (-1.16, 1.86)| 0.45| 0.651|
|high level of education, Female | low level of education, Male | 1.64| 0.66| ( 0.35, 2.93)| 2.49| 0.013|
|intermediate level of education, Male | low level of education, Female | -0.25| 0.46| (-1.15, 0.66)| -0.53| 0.593|
|intermediate level of education, Female | low level of education, Female | -0.02| 0.36| (-0.72, 0.68)| -0.06| 0.949|
|high level of education, Male | low level of education, Female | -0.45| 0.61| (-1.65, 0.75)| -0.74| 0.460|
|high level of education, Female | low level of education, Female | 0.84| 0.47| (-0.08, 1.75)| 1.80| 0.072|
|intermediate level of education, Female | intermediate level of education, Male | 0.22| 0.39| (-0.53, 0.98)| 0.58| 0.563|
|high level of education, Male | intermediate level of education, Male | -0.21| 0.63| (-1.44, 1.03)| -0.33| 0.742|
|high level of education, Female | intermediate level of education, Male | 1.09| 0.49| ( 0.13, 2.04)| 2.23| 0.026|
|high level of education, Male |intermediate level of education, Female | -0.43| 0.56| (-1.53, 0.67)| -0.77| 0.443|
|high level of education, Female |intermediate level of education, Female | 0.86| 0.39| ( 0.09, 1.63)| 2.19| 0.029|
|high level of education, Female | high level of education, Male | 1.29| 0.63| ( 0.05, 2.53)| 2.04| 0.042|
Variable predicted: neg_c_7
Predictors contrasted: c172code, c161sex
Predictors averaged: c12hour (42), e42dep (2.9)
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