Nothing
tests/testthat/_snaps/print.md
In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
ggpredict, print
Code
print(ggpredict(fit, terms = c("c12hour", "neg_c_7", "c161sex")))
Output
# Predicted values of Total score BARTHEL INDEX
neg_c_7: 8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.41 | 89.04, 99.77
45 | 91.36 | 85.91, 96.81
85 | 88.65 | 82.90, 94.40
170 | 82.89 | 75.94, 89.85
neg_c_7: 8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.91 | 89.88, 99.95
45 | 91.86 | 86.78, 96.95
85 | 89.16 | 83.77, 94.54
170 | 83.40 | 76.79, 90.01
neg_c_7: 11.8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 90.60 | 85.18, 96.02
45 | 87.55 | 82.08, 93.03
85 | 84.85 | 79.09, 90.60
170 | 79.09 | 72.17, 86.00
neg_c_7: 11.8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 91.11 | 86.06, 96.15
45 | 88.06 | 82.99, 93.13
85 | 85.35 | 80.01, 90.69
170 | 79.59 | 73.06, 86.12
neg_c_7: 15.7
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 86.70 | 80.89, 92.50
45 | 83.65 | 77.82, 89.48
85 | 80.94 | 74.87, 87.01
170 | 75.18 | 68.05, 82.32
neg_c_7: 15.7
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 87.20 | 81.78, 92.62
45 | 84.15 | 78.74, 89.57
85 | 81.44 | 75.80, 87.09
170 | 75.69 | 68.96, 82.42
Adjusted for:
* c82cop1 = 3.13
* e42dep = independent
* c172code = low level of education
Message
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
Code
print(ggpredict(fit, terms = c("c12hour", "neg_c_7", "c161sex")), n = Inf)
Output
# Predicted values of Total score BARTHEL INDEX
neg_c_7: 8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.41 | 89.04, 99.77
5 | 94.07 | 88.71, 99.43
10 | 93.73 | 88.37, 99.09
15 | 93.39 | 88.03, 98.75
20 | 93.05 | 87.69, 98.42
25 | 92.71 | 87.34, 98.09
30 | 92.38 | 86.99, 97.76
35 | 92.04 | 86.63, 97.44
40 | 91.70 | 86.27, 97.12
45 | 91.36 | 85.91, 96.81
50 | 91.02 | 85.55, 96.50
55 | 90.68 | 85.18, 96.19
60 | 90.34 | 84.80, 95.88
65 | 90.01 | 84.43, 95.58
70 | 89.67 | 84.05, 95.28
75 | 89.33 | 83.67, 94.99
80 | 88.99 | 83.29, 94.69
85 | 88.65 | 82.90, 94.40
90 | 88.31 | 82.51, 94.12
95 | 87.97 | 82.11, 93.83
100 | 87.64 | 81.72, 93.55
105 | 87.30 | 81.32, 93.27
110 | 86.96 | 80.92, 93.00
115 | 86.62 | 80.52, 92.72
120 | 86.28 | 80.11, 92.45
125 | 85.94 | 79.70, 92.18
130 | 85.60 | 79.29, 91.92
135 | 85.26 | 78.88, 91.65
140 | 84.93 | 78.46, 91.39
145 | 84.59 | 78.05, 91.13
150 | 84.25 | 77.63, 90.87
155 | 83.91 | 77.21, 90.61
160 | 83.57 | 76.79, 90.36
165 | 83.23 | 76.36, 90.10
170 | 82.89 | 75.94, 89.85
neg_c_7: 8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.91 | 89.88, 99.95
5 | 94.57 | 89.55, 99.60
10 | 94.23 | 89.22, 99.25
15 | 93.90 | 88.88, 98.91
20 | 93.56 | 88.54, 98.58
25 | 93.22 | 88.19, 98.25
30 | 92.88 | 87.84, 97.92
35 | 92.54 | 87.49, 97.59
40 | 92.20 | 87.13, 97.27
45 | 91.86 | 86.78, 96.95
50 | 91.53 | 86.41, 96.64
55 | 91.19 | 86.04, 96.33
60 | 90.85 | 85.67, 96.02
65 | 90.51 | 85.30, 95.72
70 | 90.17 | 84.92, 95.42
75 | 89.83 | 84.54, 95.12
80 | 89.49 | 84.16, 94.83
85 | 89.16 | 83.77, 94.54
90 | 88.82 | 83.38, 94.25
95 | 88.48 | 82.99, 93.97
100 | 88.14 | 82.59, 93.69
105 | 87.80 | 82.19, 93.41
110 | 87.46 | 81.79, 93.14
115 | 87.12 | 81.39, 92.86
120 | 86.79 | 80.98, 92.59
125 | 86.45 | 80.57, 92.32
130 | 86.11 | 80.16, 92.06
135 | 85.77 | 79.74, 91.80
140 | 85.43 | 79.33, 91.53
145 | 85.09 | 78.91, 91.27
150 | 84.75 | 78.49, 91.02
155 | 84.42 | 78.07, 90.76
160 | 84.08 | 77.64, 90.51
165 | 83.74 | 77.22, 90.26
170 | 83.40 | 76.79, 90.01
neg_c_7: 11.8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 90.60 | 85.18, 96.02
5 | 90.26 | 84.85, 95.67
10 | 89.92 | 84.52, 95.33
15 | 89.59 | 84.18, 94.99
20 | 89.25 | 83.84, 94.65
25 | 88.91 | 83.49, 94.32
30 | 88.57 | 83.15, 93.99
35 | 88.23 | 82.79, 93.67
40 | 87.89 | 82.44, 93.35
45 | 87.55 | 82.08, 93.03
50 | 87.22 | 81.72, 92.71
55 | 86.88 | 81.35, 92.40
60 | 86.54 | 80.98, 92.09
65 | 86.20 | 80.61, 91.79
70 | 85.86 | 80.24, 91.48
75 | 85.52 | 79.86, 91.19
80 | 85.18 | 79.48, 90.89
85 | 84.85 | 79.09, 90.60
90 | 84.51 | 78.71, 90.31
95 | 84.17 | 78.32, 90.02
100 | 83.83 | 77.92, 89.74
105 | 83.49 | 77.53, 89.45
110 | 83.15 | 77.13, 89.18
115 | 82.81 | 76.73, 88.90
120 | 82.48 | 76.33, 88.63
125 | 82.14 | 75.92, 88.35
130 | 81.80 | 75.51, 88.08
135 | 81.46 | 75.10, 87.82
140 | 81.12 | 74.69, 87.55
145 | 80.78 | 74.27, 87.29
150 | 80.44 | 73.86, 87.03
155 | 80.10 | 73.44, 86.77
160 | 79.77 | 73.02, 86.51
165 | 79.43 | 72.60, 86.26
170 | 79.09 | 72.17, 86.00
neg_c_7: 11.8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 91.11 | 86.06, 96.15
5 | 90.77 | 85.73, 95.80
10 | 90.43 | 85.40, 95.46
15 | 90.09 | 85.07, 95.11
20 | 89.75 | 84.73, 94.77
25 | 89.41 | 84.39, 94.44
30 | 89.07 | 84.04, 94.11
35 | 88.74 | 83.70, 93.78
40 | 88.40 | 83.34, 93.45
45 | 88.06 | 82.99, 93.13
50 | 87.72 | 82.63, 92.82
55 | 87.38 | 82.26, 92.50
60 | 87.04 | 81.89, 92.19
65 | 86.70 | 81.52, 91.89
70 | 86.37 | 81.15, 91.58
75 | 86.03 | 80.77, 91.28
80 | 85.69 | 80.39, 90.99
85 | 85.35 | 80.01, 90.69
90 | 85.01 | 79.62, 90.40
95 | 84.67 | 79.23, 90.12
100 | 84.33 | 78.84, 89.83
105 | 84.00 | 78.44, 89.55
110 | 83.66 | 78.04, 89.27
115 | 83.32 | 77.64, 89.00
120 | 82.98 | 77.23, 88.73
125 | 82.64 | 76.83, 88.46
130 | 82.30 | 76.42, 88.19
135 | 81.96 | 76.01, 87.92
140 | 81.63 | 75.59, 87.66
145 | 81.29 | 75.18, 87.40
150 | 80.95 | 74.76, 87.14
155 | 80.61 | 74.34, 86.88
160 | 80.27 | 73.91, 86.63
165 | 79.93 | 73.49, 86.38
170 | 79.59 | 73.06, 86.12
neg_c_7: 15.7
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 86.70 | 80.89, 92.50
5 | 86.36 | 80.56, 92.15
10 | 86.02 | 80.23, 91.81
15 | 85.68 | 79.90, 91.46
20 | 85.34 | 79.56, 91.12
25 | 85.00 | 79.22, 90.79
30 | 84.66 | 78.87, 90.45
35 | 84.33 | 78.53, 90.13
40 | 83.99 | 78.17, 89.80
45 | 83.65 | 77.82, 89.48
50 | 83.31 | 77.46, 89.16
55 | 82.97 | 77.10, 88.84
60 | 82.63 | 76.74, 88.53
65 | 82.29 | 76.37, 88.22
70 | 81.96 | 76.00, 87.91
75 | 81.62 | 75.63, 87.61
80 | 81.28 | 75.25, 87.30
85 | 80.94 | 74.87, 87.01
90 | 80.60 | 74.49, 86.71
95 | 80.26 | 74.11, 86.42
100 | 79.92 | 73.72, 86.13
105 | 79.59 | 73.33, 85.84
110 | 79.25 | 72.94, 85.56
115 | 78.91 | 72.54, 85.28
120 | 78.57 | 72.14, 85.00
125 | 78.23 | 71.74, 84.72
130 | 77.89 | 71.34, 84.44
135 | 77.55 | 70.94, 84.17
140 | 77.21 | 70.53, 83.90
145 | 76.88 | 70.12, 83.63
150 | 76.54 | 69.71, 83.37
155 | 76.20 | 69.30, 83.10
160 | 75.86 | 68.88, 82.84
165 | 75.52 | 68.46, 82.58
170 | 75.18 | 68.05, 82.32
neg_c_7: 15.7
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 87.20 | 81.78, 92.62
5 | 86.86 | 81.46, 92.27
10 | 86.52 | 81.13, 91.92
15 | 86.18 | 80.80, 91.57
20 | 85.85 | 80.47, 91.23
25 | 85.51 | 80.13, 90.89
30 | 85.17 | 79.79, 90.55
35 | 84.83 | 79.44, 90.22
40 | 84.49 | 79.09, 89.89
45 | 84.15 | 78.74, 89.57
50 | 83.81 | 78.38, 89.24
55 | 83.48 | 78.03, 88.93
60 | 83.14 | 77.66, 88.61
65 | 82.80 | 77.30, 88.30
70 | 82.46 | 76.93, 87.99
75 | 82.12 | 76.56, 87.69
80 | 81.78 | 76.18, 87.39
85 | 81.44 | 75.80, 87.09
90 | 81.11 | 75.42, 86.79
95 | 80.77 | 75.04, 86.50
100 | 80.43 | 74.65, 86.21
105 | 80.09 | 74.26, 85.92
110 | 79.75 | 73.86, 85.64
115 | 79.41 | 73.47, 85.36
120 | 79.07 | 73.07, 85.08
125 | 78.74 | 72.67, 84.80
130 | 78.40 | 72.27, 84.53
135 | 78.06 | 71.86, 84.26
140 | 77.72 | 71.45, 83.99
145 | 77.38 | 71.04, 83.72
150 | 77.04 | 70.63, 83.46
155 | 76.70 | 70.21, 83.20
160 | 76.37 | 69.80, 82.93
165 | 76.03 | 69.38, 82.68
170 | 75.69 | 68.96, 82.42
Adjusted for:
* c82cop1 = 3.13
* e42dep = independent
* c172code = low level of education
Code
print(out, group_name = TRUE)
Output
# Predicted values of Total score BARTHEL INDEX
c172code: low level of education
e42dep: independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 87.73 | 82.27, 93.19
2 | 88.24 | 83.17, 93.30
c172code: low level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 81.03 | 77.03, 85.04
2 | 81.54 | 78.12, 84.95
c172code: low level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 70.50 | 66.82, 74.18
2 | 71.00 | 67.89, 74.12
c172code: low level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 34.02 | 30.14, 37.89
2 | 34.52 | 31.20, 37.85
c172code: intermediate level of education
e42dep: independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.98 | 84.95, 95.01
2 | 90.49 | 85.93, 95.05
c172code: intermediate level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 83.28 | 79.85, 86.72
2 | 83.79 | 81.12, 86.46
c172code: intermediate level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.75 | 69.63, 75.87
2 | 73.25 | 70.89, 75.62
c172code: intermediate level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 36.27 | 32.92, 39.61
2 | 36.77 | 34.14, 39.40
c172code: high level of education
e42dep: independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.39 | 83.75, 95.02
2 | 89.89 | 84.54, 95.24
c172code: high level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 82.69 | 78.65, 86.73
2 | 83.19 | 79.59, 86.80
c172code: high level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.15 | 68.47, 75.83
2 | 72.66 | 69.38, 75.94
c172code: high level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 35.67 | 31.75, 39.59
2 | 36.18 | 32.65, 39.70
Adjusted for:
* c12hour = 42.04
* neg_c_7 = 11.82
* c82cop1 = 3.13
Code
print(out, group_name = FALSE)
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 87.73 | 82.27, 93.19
2 | 88.24 | 83.17, 93.30
low level of education, slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 81.03 | 77.03, 85.04
2 | 81.54 | 78.12, 84.95
low level of education, moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 70.50 | 66.82, 74.18
2 | 71.00 | 67.89, 74.12
low level of education, severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 34.02 | 30.14, 37.89
2 | 34.52 | 31.20, 37.85
intermediate level of education, independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.98 | 84.95, 95.01
2 | 90.49 | 85.93, 95.05
intermediate level of education, slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 83.28 | 79.85, 86.72
2 | 83.79 | 81.12, 86.46
intermediate level of education, moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.75 | 69.63, 75.87
2 | 73.25 | 70.89, 75.62
intermediate level of education, severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 36.27 | 32.92, 39.61
2 | 36.77 | 34.14, 39.40
high level of education, independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.39 | 83.75, 95.02
2 | 89.89 | 84.54, 95.24
high level of education, slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 82.69 | 78.65, 86.73
2 | 83.19 | 79.59, 86.80
high level of education, moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.15 | 68.47, 75.83
2 | 72.66 | 69.38, 75.94
high level of education, severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 35.67 | 31.75, 39.59
2 | 36.18 | 32.65, 39.70
Adjusted for:
* c12hour = 42.04
* neg_c_7 = 11.82
* c82cop1 = 3.13
ggpredict, print factors
Code
print(pr)
Output
# Predicted probabilities of bin_choice
Wshort | Predicted | 95% CI
-----------------------------------
climate | 0.30 | 0.10, 0.62
cutwelfare | 0.67 | 0.33, 0.89
discipline | 0.79 | 0.51, 0.93
freedom | 0.75 | 0.24, 0.97
ineqincOK | 0.50 | 0.17, 0.83
leader | 0.43 | 0.14, 0.77
police | 0.75 | 0.38, 0.94
politduty | 0.29 | 0.07, 0.67
refugees | 0.50 | 0.17, 0.83
Russia | 0.36 | 0.14, 0.66
taxesdown | 0.29 | 0.07, 0.67
worse-off | 0.45 | 0.20, 0.73
Code
print(pr)
Output
# Predicted probabilities of bin_choice
Wshort | Predicted | 95% CI
-----------------------------------
climate | 0.30 | 0.10, 0.62
cutwelfare | 0.67 | 0.33, 0.89
discipline | 0.79 | 0.51, 0.93
freedom | 0.75 | 0.24, 0.97
ineqincOK | 0.50 | 0.17, 0.83
leader | 0.43 | 0.14, 0.77
police | 0.75 | 0.38, 0.94
politduty | 0.29 | 0.07, 0.67
refugees | 0.50 | 0.17, 0.83
Russia | 0.36 | 0.14, 0.66
taxesdown | 0.29 | 0.07, 0.67
worse-off | 0.45 | 0.20, 0.73
ggpredict, collapse CI
Code
print(pr)
Output
# Predicted values of Total score BARTHEL INDEX
c172code: low level of education
e42dep: independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 96.07 | 75.80, 116.35
Female | 88.02 | 76.31, 99.73
c172code: low level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 84.39 | 73.29, 95.50
Female | 84.14 | 77.73, 90.55
c172code: low level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 68.85 | 60.08, 77.62
Female | 73.20 | 67.82, 78.59
c172code: low level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 34.83 | 24.63, 45.03
Female | 31.39 | 26.44, 36.33
c172code: intermediate level of education
e42dep: independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 94.31 | 84.54, 104.07
Female | 96.49 | 90.18, 102.80
c172code: intermediate level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 88.03 | 81.77, 94.28
Female | 86.30 | 82.77, 89.83
c172code: intermediate level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 74.79 | 68.93, 80.65
Female | 73.02 | 69.88, 76.16
c172code: intermediate level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 30.32 | 23.66, 36.99
Female | 32.20 | 29.09, 35.31
c172code: high level of education
e42dep: independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 89.59 | 57.44, 121.74
Female | 89.23 | 73.53, 104.93
c172code: high level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 85.19 | 74.09, 96.29
Female | 83.19 | 76.67, 89.71
c172code: high level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 73.19 | 65.14, 81.24
Female | 71.76 | 66.21, 77.31
c172code: high level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 32.85 | 24.05, 41.66
Female | 37.10 | 30.99, 43.21
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE)
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 96.07 | 75.80, 116.35
Female | 88.02 | 76.31, 99.73
low level of education, slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 84.39 | 73.29, 95.50
Female | 84.14 | 77.73, 90.55
low level of education, moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 68.85 | 60.08, 77.62
Female | 73.20 | 67.82, 78.59
low level of education, severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 34.83 | 24.63, 45.03
Female | 31.39 | 26.44, 36.33
intermediate level of education, independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 94.31 | 84.54, 104.07
Female | 96.49 | 90.18, 102.80
intermediate level of education, slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 88.03 | 81.77, 94.28
Female | 86.30 | 82.77, 89.83
intermediate level of education, moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 74.79 | 68.93, 80.65
Female | 73.02 | 69.88, 76.16
intermediate level of education, severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 30.32 | 23.66, 36.99
Female | 32.20 | 29.09, 35.31
high level of education, independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 89.59 | 57.44, 121.74
Female | 89.23 | 73.53, 104.93
high level of education, slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 85.19 | 74.09, 96.29
Female | 83.19 | 76.67, 89.71
high level of education, moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 73.19 | 65.14, 81.24
Female | 71.76 | 66.21, 77.31
high level of education, severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 32.85 | 24.05, 41.66
Female | 37.10 | 30.99, 43.21
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE, collapse_ci = TRUE)
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 96.07 (75.80, 116.35)
Female | 88.02 (76.31, 99.73)
low level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 84.39 (73.29, 95.50)
Female | 84.14 (77.73, 90.55)
low level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 68.85 (60.08, 77.62)
Female | 73.20 (67.82, 78.59)
low level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 34.83 (24.63, 45.03)
Female | 31.39 (26.44, 36.33)
intermediate level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 94.31 (84.54, 104.07)
Female | 96.49 (90.18, 102.80)
intermediate level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 88.03 (81.77, 94.28)
Female | 86.30 (82.77, 89.83)
intermediate level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 74.79 (68.93, 80.65)
Female | 73.02 (69.88, 76.16)
intermediate level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 30.32 (23.66, 36.99)
Female | 32.20 (29.09, 35.31)
high level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 89.59 (57.44, 121.74)
Female | 89.23 (73.53, 104.93)
high level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 85.19 (74.09, 96.29)
Female | 83.19 (76.67, 89.71)
high level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 73.19 (65.14, 81.24)
Female | 71.76 (66.21, 77.31)
high level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 32.85 (24.05, 41.66)
Female | 37.10 (30.99, 43.21)
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE, collapse_ci = TRUE, ci_brackets = c("[", "]"))
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 96.07 [75.80, 116.35]
Female | 88.02 [76.31, 99.73]
low level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 84.39 [73.29, 95.50]
Female | 84.14 [77.73, 90.55]
low level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 68.85 [60.08, 77.62]
Female | 73.20 [67.82, 78.59]
low level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 34.83 [24.63, 45.03]
Female | 31.39 [26.44, 36.33]
intermediate level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 94.31 [84.54, 104.07]
Female | 96.49 [90.18, 102.80]
intermediate level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 88.03 [81.77, 94.28]
Female | 86.30 [82.77, 89.83]
intermediate level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 74.79 [68.93, 80.65]
Female | 73.02 [69.88, 76.16]
intermediate level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 30.32 [23.66, 36.99]
Female | 32.20 [29.09, 35.31]
high level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 89.59 [57.44, 121.74]
Female | 89.23 [73.53, 104.93]
high level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 85.19 [74.09, 96.29]
Female | 83.19 [76.67, 89.71]
high level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 73.19 [65.14, 81.24]
Female | 71.76 [66.21, 77.31]
high level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 32.85 [24.05, 41.66]
Female | 37.10 [30.99, 43.21]
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = TRUE, collapse_ci = TRUE, ci_brackets = c("[", "]"))
Output
# Predicted values of Total score BARTHEL INDEX
c172code: low level of education
e42dep: independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 96.07 [75.80, 116.35]
Female | 88.02 [76.31, 99.73]
c172code: low level of education
e42dep: slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 84.39 [73.29, 95.50]
Female | 84.14 [77.73, 90.55]
c172code: low level of education
e42dep: moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 68.85 [60.08, 77.62]
Female | 73.20 [67.82, 78.59]
c172code: low level of education
e42dep: severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 34.83 [24.63, 45.03]
Female | 31.39 [26.44, 36.33]
c172code: intermediate level of education
e42dep: independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 94.31 [84.54, 104.07]
Female | 96.49 [90.18, 102.80]
c172code: intermediate level of education
e42dep: slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 88.03 [81.77, 94.28]
Female | 86.30 [82.77, 89.83]
c172code: intermediate level of education
e42dep: moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 74.79 [68.93, 80.65]
Female | 73.02 [69.88, 76.16]
c172code: intermediate level of education
e42dep: severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 30.32 [23.66, 36.99]
Female | 32.20 [29.09, 35.31]
c172code: high level of education
e42dep: independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 89.59 [57.44, 121.74]
Female | 89.23 [73.53, 104.93]
c172code: high level of education
e42dep: slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 85.19 [74.09, 96.29]
Female | 83.19 [76.67, 89.71]
c172code: high level of education
e42dep: moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 73.19 [65.14, 81.24]
Female | 71.76 [66.21, 77.31]
c172code: high level of education
e42dep: severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 32.85 [24.05, 41.66]
Female | 37.10 [30.99, 43.21]
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE, collapse_ci = TRUE)
Output
# Predicted values of Total score BARTHEL INDEX
e42dep | Predicted (95% CI)
-------------------------------------------
independent | 94.36 (90.00, 98.72)
slightly dependent | 85.69 (83.31, 88.07)
moderately dependent | 73.17 (71.15, 75.20)
severely dependent | 33.17 (31.09, 35.24)
Adjusted for:
* c160age = 53.36
ggpredict, collapse tables
Code
print(ggpredict(m, c("Petal.Length", "Species")), collapse_tables = TRUE, n = 3)
Output
# Predicted values of Sepal.Length
Petal.Length | Species | Predicted | 95% CI
---------------------------------------------------
1.00 | setosa | 4.76 | 4.49, 5.03
3.00 | | 5.84 | 4.99, 6.69
7.00 | | 8.01 | 4.98, 11.04
1.00 | versicolor | 3.24 | 2.57, 3.90
3.00 | | 4.89 | 4.62, 5.16
7.00 | | 8.21 | 7.64, 8.77
1.00 | virginica | 2.06 | 1.27, 2.84
3.00 | | 4.05 | 3.60, 4.50
7.00 | | 8.03 | 7.76, 8.30
Message
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
ggpredict, ci-level
Code
print(out)
Output
# Predicted values of Sepal.Length
Species | Predicted | 95% CI
-----------------------------------
setosa | 5.01 | 4.86, 5.15
versicolor | 5.94 | 5.79, 6.08
virginica | 6.59 | 6.44, 6.73
Code
print(out)
Output
# Predicted values of Sepal.Length
Species | Predicted | 80% CI
-----------------------------------
setosa | 5.01 | 4.91, 5.10
versicolor | 5.94 | 5.84, 6.03
virginica | 6.59 | 6.49, 6.68
ggpredict, weights
Code
print(ggaverage(m, c("Infl", "Type", "Sat")), collapse_tables = TRUE)
Output
# Average predicted values of Freq
Infl | Type | Sat | Predicted | 95% CI
------------------------------------------------------
Low | Tower | Low | 17.50 | 2.69, 32.31
Medium | | | 25.50 | 10.69, 40.31
High | | | 6.50 | -8.31, 21.31
Low | | Medium | 20.00 | 5.19, 34.81
Medium | | | 22.50 | 7.69, 37.31
High | | | 8.00 | -6.81, 22.81
Low | | High | 32.50 | 17.69, 47.31
Medium | | | 38.00 | 23.19, 52.81
High | | | 29.50 | 14.69, 44.31
Low | Apartment | Low | 69.50 | 54.69, 84.31
Medium | | | 45.50 | 30.69, 60.31
High | | | 20.50 | 5.69, 35.31
Low | | Medium | 34.50 | 19.69, 49.31
Medium | | | 40.00 | 25.19, 54.81
High | | | 21.50 | 6.69, 36.31
Low | | High | 30.00 | 15.19, 44.81
Medium | | | 63.00 | 48.19, 77.81
High | | | 58.00 | 43.19, 72.81
Low | Atrium | Low | 16.50 | 1.69, 31.31
Medium | | | 9.00 | -5.81, 23.81
High | | | 6.50 | -8.31, 21.31
Low | | Medium | 16.00 | 1.19, 30.81
Medium | | | 15.00 | 0.19, 29.81
High | | | 8.50 | -6.31, 23.31
Low | | High | 15.00 | 0.19, 29.81
Medium | | | 18.00 | 3.19, 32.81
High | | | 15.00 | 0.19, 29.81
Low | Terrace | Low | 37.50 | 22.69, 52.31
Medium | | | 23.00 | 8.19, 37.81
High | | | 6.00 | -8.81, 20.81
Low | | Medium | 14.50 | -0.31, 29.31
Medium | | | 17.00 | 2.19, 31.81
High | | | 5.50 | -9.31, 20.31
Low | | High | 10.00 | -4.81, 24.81
Medium | | | 13.00 | -1.81, 27.81
High | | | 12.00 | -2.81, 26.81
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ggpredict, print
Code
print(ggpredict(fit, terms = c("c12hour", "neg_c_7", "c161sex")))
Output
# Predicted values of Total score BARTHEL INDEX
neg_c_7: 8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.41 | 89.04, 99.77
45 | 91.36 | 85.91, 96.81
85 | 88.65 | 82.90, 94.40
170 | 82.89 | 75.94, 89.85
neg_c_7: 8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.91 | 89.88, 99.95
45 | 91.86 | 86.78, 96.95
85 | 89.16 | 83.77, 94.54
170 | 83.40 | 76.79, 90.01
neg_c_7: 11.8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 90.60 | 85.18, 96.02
45 | 87.55 | 82.08, 93.03
85 | 84.85 | 79.09, 90.60
170 | 79.09 | 72.17, 86.00
neg_c_7: 11.8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 91.11 | 86.06, 96.15
45 | 88.06 | 82.99, 93.13
85 | 85.35 | 80.01, 90.69
170 | 79.59 | 73.06, 86.12
neg_c_7: 15.7
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 86.70 | 80.89, 92.50
45 | 83.65 | 77.82, 89.48
85 | 80.94 | 74.87, 87.01
170 | 75.18 | 68.05, 82.32
neg_c_7: 15.7
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 87.20 | 81.78, 92.62
45 | 84.15 | 78.74, 89.57
85 | 81.44 | 75.80, 87.09
170 | 75.69 | 68.96, 82.42
Adjusted for:
* c82cop1 = 3.13
* e42dep = independent
* c172code = low level of education
Message
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
Code
print(ggpredict(fit, terms = c("c12hour", "neg_c_7", "c161sex")), n = Inf)
Output
# Predicted values of Total score BARTHEL INDEX
neg_c_7: 8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.41 | 89.04, 99.77
5 | 94.07 | 88.71, 99.43
10 | 93.73 | 88.37, 99.09
15 | 93.39 | 88.03, 98.75
20 | 93.05 | 87.69, 98.42
25 | 92.71 | 87.34, 98.09
30 | 92.38 | 86.99, 97.76
35 | 92.04 | 86.63, 97.44
40 | 91.70 | 86.27, 97.12
45 | 91.36 | 85.91, 96.81
50 | 91.02 | 85.55, 96.50
55 | 90.68 | 85.18, 96.19
60 | 90.34 | 84.80, 95.88
65 | 90.01 | 84.43, 95.58
70 | 89.67 | 84.05, 95.28
75 | 89.33 | 83.67, 94.99
80 | 88.99 | 83.29, 94.69
85 | 88.65 | 82.90, 94.40
90 | 88.31 | 82.51, 94.12
95 | 87.97 | 82.11, 93.83
100 | 87.64 | 81.72, 93.55
105 | 87.30 | 81.32, 93.27
110 | 86.96 | 80.92, 93.00
115 | 86.62 | 80.52, 92.72
120 | 86.28 | 80.11, 92.45
125 | 85.94 | 79.70, 92.18
130 | 85.60 | 79.29, 91.92
135 | 85.26 | 78.88, 91.65
140 | 84.93 | 78.46, 91.39
145 | 84.59 | 78.05, 91.13
150 | 84.25 | 77.63, 90.87
155 | 83.91 | 77.21, 90.61
160 | 83.57 | 76.79, 90.36
165 | 83.23 | 76.36, 90.10
170 | 82.89 | 75.94, 89.85
neg_c_7: 8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 94.91 | 89.88, 99.95
5 | 94.57 | 89.55, 99.60
10 | 94.23 | 89.22, 99.25
15 | 93.90 | 88.88, 98.91
20 | 93.56 | 88.54, 98.58
25 | 93.22 | 88.19, 98.25
30 | 92.88 | 87.84, 97.92
35 | 92.54 | 87.49, 97.59
40 | 92.20 | 87.13, 97.27
45 | 91.86 | 86.78, 96.95
50 | 91.53 | 86.41, 96.64
55 | 91.19 | 86.04, 96.33
60 | 90.85 | 85.67, 96.02
65 | 90.51 | 85.30, 95.72
70 | 90.17 | 84.92, 95.42
75 | 89.83 | 84.54, 95.12
80 | 89.49 | 84.16, 94.83
85 | 89.16 | 83.77, 94.54
90 | 88.82 | 83.38, 94.25
95 | 88.48 | 82.99, 93.97
100 | 88.14 | 82.59, 93.69
105 | 87.80 | 82.19, 93.41
110 | 87.46 | 81.79, 93.14
115 | 87.12 | 81.39, 92.86
120 | 86.79 | 80.98, 92.59
125 | 86.45 | 80.57, 92.32
130 | 86.11 | 80.16, 92.06
135 | 85.77 | 79.74, 91.80
140 | 85.43 | 79.33, 91.53
145 | 85.09 | 78.91, 91.27
150 | 84.75 | 78.49, 91.02
155 | 84.42 | 78.07, 90.76
160 | 84.08 | 77.64, 90.51
165 | 83.74 | 77.22, 90.26
170 | 83.40 | 76.79, 90.01
neg_c_7: 11.8
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 90.60 | 85.18, 96.02
5 | 90.26 | 84.85, 95.67
10 | 89.92 | 84.52, 95.33
15 | 89.59 | 84.18, 94.99
20 | 89.25 | 83.84, 94.65
25 | 88.91 | 83.49, 94.32
30 | 88.57 | 83.15, 93.99
35 | 88.23 | 82.79, 93.67
40 | 87.89 | 82.44, 93.35
45 | 87.55 | 82.08, 93.03
50 | 87.22 | 81.72, 92.71
55 | 86.88 | 81.35, 92.40
60 | 86.54 | 80.98, 92.09
65 | 86.20 | 80.61, 91.79
70 | 85.86 | 80.24, 91.48
75 | 85.52 | 79.86, 91.19
80 | 85.18 | 79.48, 90.89
85 | 84.85 | 79.09, 90.60
90 | 84.51 | 78.71, 90.31
95 | 84.17 | 78.32, 90.02
100 | 83.83 | 77.92, 89.74
105 | 83.49 | 77.53, 89.45
110 | 83.15 | 77.13, 89.18
115 | 82.81 | 76.73, 88.90
120 | 82.48 | 76.33, 88.63
125 | 82.14 | 75.92, 88.35
130 | 81.80 | 75.51, 88.08
135 | 81.46 | 75.10, 87.82
140 | 81.12 | 74.69, 87.55
145 | 80.78 | 74.27, 87.29
150 | 80.44 | 73.86, 87.03
155 | 80.10 | 73.44, 86.77
160 | 79.77 | 73.02, 86.51
165 | 79.43 | 72.60, 86.26
170 | 79.09 | 72.17, 86.00
neg_c_7: 11.8
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 91.11 | 86.06, 96.15
5 | 90.77 | 85.73, 95.80
10 | 90.43 | 85.40, 95.46
15 | 90.09 | 85.07, 95.11
20 | 89.75 | 84.73, 94.77
25 | 89.41 | 84.39, 94.44
30 | 89.07 | 84.04, 94.11
35 | 88.74 | 83.70, 93.78
40 | 88.40 | 83.34, 93.45
45 | 88.06 | 82.99, 93.13
50 | 87.72 | 82.63, 92.82
55 | 87.38 | 82.26, 92.50
60 | 87.04 | 81.89, 92.19
65 | 86.70 | 81.52, 91.89
70 | 86.37 | 81.15, 91.58
75 | 86.03 | 80.77, 91.28
80 | 85.69 | 80.39, 90.99
85 | 85.35 | 80.01, 90.69
90 | 85.01 | 79.62, 90.40
95 | 84.67 | 79.23, 90.12
100 | 84.33 | 78.84, 89.83
105 | 84.00 | 78.44, 89.55
110 | 83.66 | 78.04, 89.27
115 | 83.32 | 77.64, 89.00
120 | 82.98 | 77.23, 88.73
125 | 82.64 | 76.83, 88.46
130 | 82.30 | 76.42, 88.19
135 | 81.96 | 76.01, 87.92
140 | 81.63 | 75.59, 87.66
145 | 81.29 | 75.18, 87.40
150 | 80.95 | 74.76, 87.14
155 | 80.61 | 74.34, 86.88
160 | 80.27 | 73.91, 86.63
165 | 79.93 | 73.49, 86.38
170 | 79.59 | 73.06, 86.12
neg_c_7: 15.7
c161sex: [1] Male
c12hour | Predicted | 95% CI
----------------------------------
0 | 86.70 | 80.89, 92.50
5 | 86.36 | 80.56, 92.15
10 | 86.02 | 80.23, 91.81
15 | 85.68 | 79.90, 91.46
20 | 85.34 | 79.56, 91.12
25 | 85.00 | 79.22, 90.79
30 | 84.66 | 78.87, 90.45
35 | 84.33 | 78.53, 90.13
40 | 83.99 | 78.17, 89.80
45 | 83.65 | 77.82, 89.48
50 | 83.31 | 77.46, 89.16
55 | 82.97 | 77.10, 88.84
60 | 82.63 | 76.74, 88.53
65 | 82.29 | 76.37, 88.22
70 | 81.96 | 76.00, 87.91
75 | 81.62 | 75.63, 87.61
80 | 81.28 | 75.25, 87.30
85 | 80.94 | 74.87, 87.01
90 | 80.60 | 74.49, 86.71
95 | 80.26 | 74.11, 86.42
100 | 79.92 | 73.72, 86.13
105 | 79.59 | 73.33, 85.84
110 | 79.25 | 72.94, 85.56
115 | 78.91 | 72.54, 85.28
120 | 78.57 | 72.14, 85.00
125 | 78.23 | 71.74, 84.72
130 | 77.89 | 71.34, 84.44
135 | 77.55 | 70.94, 84.17
140 | 77.21 | 70.53, 83.90
145 | 76.88 | 70.12, 83.63
150 | 76.54 | 69.71, 83.37
155 | 76.20 | 69.30, 83.10
160 | 75.86 | 68.88, 82.84
165 | 75.52 | 68.46, 82.58
170 | 75.18 | 68.05, 82.32
neg_c_7: 15.7
c161sex: [2] Female
c12hour | Predicted | 95% CI
----------------------------------
0 | 87.20 | 81.78, 92.62
5 | 86.86 | 81.46, 92.27
10 | 86.52 | 81.13, 91.92
15 | 86.18 | 80.80, 91.57
20 | 85.85 | 80.47, 91.23
25 | 85.51 | 80.13, 90.89
30 | 85.17 | 79.79, 90.55
35 | 84.83 | 79.44, 90.22
40 | 84.49 | 79.09, 89.89
45 | 84.15 | 78.74, 89.57
50 | 83.81 | 78.38, 89.24
55 | 83.48 | 78.03, 88.93
60 | 83.14 | 77.66, 88.61
65 | 82.80 | 77.30, 88.30
70 | 82.46 | 76.93, 87.99
75 | 82.12 | 76.56, 87.69
80 | 81.78 | 76.18, 87.39
85 | 81.44 | 75.80, 87.09
90 | 81.11 | 75.42, 86.79
95 | 80.77 | 75.04, 86.50
100 | 80.43 | 74.65, 86.21
105 | 80.09 | 74.26, 85.92
110 | 79.75 | 73.86, 85.64
115 | 79.41 | 73.47, 85.36
120 | 79.07 | 73.07, 85.08
125 | 78.74 | 72.67, 84.80
130 | 78.40 | 72.27, 84.53
135 | 78.06 | 71.86, 84.26
140 | 77.72 | 71.45, 83.99
145 | 77.38 | 71.04, 83.72
150 | 77.04 | 70.63, 83.46
155 | 76.70 | 70.21, 83.20
160 | 76.37 | 69.80, 82.93
165 | 76.03 | 69.38, 82.68
170 | 75.69 | 68.96, 82.42
Adjusted for:
* c82cop1 = 3.13
* e42dep = independent
* c172code = low level of education
Code
print(out, group_name = TRUE)
Output
# Predicted values of Total score BARTHEL INDEX
c172code: low level of education
e42dep: independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 87.73 | 82.27, 93.19
2 | 88.24 | 83.17, 93.30
c172code: low level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 81.03 | 77.03, 85.04
2 | 81.54 | 78.12, 84.95
c172code: low level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 70.50 | 66.82, 74.18
2 | 71.00 | 67.89, 74.12
c172code: low level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 34.02 | 30.14, 37.89
2 | 34.52 | 31.20, 37.85
c172code: intermediate level of education
e42dep: independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.98 | 84.95, 95.01
2 | 90.49 | 85.93, 95.05
c172code: intermediate level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 83.28 | 79.85, 86.72
2 | 83.79 | 81.12, 86.46
c172code: intermediate level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.75 | 69.63, 75.87
2 | 73.25 | 70.89, 75.62
c172code: intermediate level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 36.27 | 32.92, 39.61
2 | 36.77 | 34.14, 39.40
c172code: high level of education
e42dep: independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.39 | 83.75, 95.02
2 | 89.89 | 84.54, 95.24
c172code: high level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 82.69 | 78.65, 86.73
2 | 83.19 | 79.59, 86.80
c172code: high level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.15 | 68.47, 75.83
2 | 72.66 | 69.38, 75.94
c172code: high level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 35.67 | 31.75, 39.59
2 | 36.18 | 32.65, 39.70
Adjusted for:
* c12hour = 42.04
* neg_c_7 = 11.82
* c82cop1 = 3.13
Code
print(out, group_name = FALSE)
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 87.73 | 82.27, 93.19
2 | 88.24 | 83.17, 93.30
low level of education, slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 81.03 | 77.03, 85.04
2 | 81.54 | 78.12, 84.95
low level of education, moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 70.50 | 66.82, 74.18
2 | 71.00 | 67.89, 74.12
low level of education, severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 34.02 | 30.14, 37.89
2 | 34.52 | 31.20, 37.85
intermediate level of education, independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.98 | 84.95, 95.01
2 | 90.49 | 85.93, 95.05
intermediate level of education, slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 83.28 | 79.85, 86.72
2 | 83.79 | 81.12, 86.46
intermediate level of education, moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.75 | 69.63, 75.87
2 | 73.25 | 70.89, 75.62
intermediate level of education, severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 36.27 | 32.92, 39.61
2 | 36.77 | 34.14, 39.40
high level of education, independent
c161sex | Predicted | 95% CI
----------------------------------
1 | 89.39 | 83.75, 95.02
2 | 89.89 | 84.54, 95.24
high level of education, slightly dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 82.69 | 78.65, 86.73
2 | 83.19 | 79.59, 86.80
high level of education, moderately dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 72.15 | 68.47, 75.83
2 | 72.66 | 69.38, 75.94
high level of education, severely dependent
c161sex | Predicted | 95% CI
----------------------------------
1 | 35.67 | 31.75, 39.59
2 | 36.18 | 32.65, 39.70
Adjusted for:
* c12hour = 42.04
* neg_c_7 = 11.82
* c82cop1 = 3.13
ggpredict, print factors
Code
print(pr)
Output
# Predicted probabilities of bin_choice
Wshort | Predicted | 95% CI
-----------------------------------
climate | 0.30 | 0.10, 0.62
cutwelfare | 0.67 | 0.33, 0.89
discipline | 0.79 | 0.51, 0.93
freedom | 0.75 | 0.24, 0.97
ineqincOK | 0.50 | 0.17, 0.83
leader | 0.43 | 0.14, 0.77
police | 0.75 | 0.38, 0.94
politduty | 0.29 | 0.07, 0.67
refugees | 0.50 | 0.17, 0.83
Russia | 0.36 | 0.14, 0.66
taxesdown | 0.29 | 0.07, 0.67
worse-off | 0.45 | 0.20, 0.73
Code
print(pr)
Output
# Predicted probabilities of bin_choice
Wshort | Predicted | 95% CI
-----------------------------------
climate | 0.30 | 0.10, 0.62
cutwelfare | 0.67 | 0.33, 0.89
discipline | 0.79 | 0.51, 0.93
freedom | 0.75 | 0.24, 0.97
ineqincOK | 0.50 | 0.17, 0.83
leader | 0.43 | 0.14, 0.77
police | 0.75 | 0.38, 0.94
politduty | 0.29 | 0.07, 0.67
refugees | 0.50 | 0.17, 0.83
Russia | 0.36 | 0.14, 0.66
taxesdown | 0.29 | 0.07, 0.67
worse-off | 0.45 | 0.20, 0.73
ggpredict, collapse CI
Code
print(pr)
Output
# Predicted values of Total score BARTHEL INDEX
c172code: low level of education
e42dep: independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 96.07 | 75.80, 116.35
Female | 88.02 | 76.31, 99.73
c172code: low level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 84.39 | 73.29, 95.50
Female | 84.14 | 77.73, 90.55
c172code: low level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 68.85 | 60.08, 77.62
Female | 73.20 | 67.82, 78.59
c172code: low level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 34.83 | 24.63, 45.03
Female | 31.39 | 26.44, 36.33
c172code: intermediate level of education
e42dep: independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 94.31 | 84.54, 104.07
Female | 96.49 | 90.18, 102.80
c172code: intermediate level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 88.03 | 81.77, 94.28
Female | 86.30 | 82.77, 89.83
c172code: intermediate level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 74.79 | 68.93, 80.65
Female | 73.02 | 69.88, 76.16
c172code: intermediate level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 30.32 | 23.66, 36.99
Female | 32.20 | 29.09, 35.31
c172code: high level of education
e42dep: independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 89.59 | 57.44, 121.74
Female | 89.23 | 73.53, 104.93
c172code: high level of education
e42dep: slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 85.19 | 74.09, 96.29
Female | 83.19 | 76.67, 89.71
c172code: high level of education
e42dep: moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 73.19 | 65.14, 81.24
Female | 71.76 | 66.21, 77.31
c172code: high level of education
e42dep: severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 32.85 | 24.05, 41.66
Female | 37.10 | 30.99, 43.21
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE)
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 96.07 | 75.80, 116.35
Female | 88.02 | 76.31, 99.73
low level of education, slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 84.39 | 73.29, 95.50
Female | 84.14 | 77.73, 90.55
low level of education, moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 68.85 | 60.08, 77.62
Female | 73.20 | 67.82, 78.59
low level of education, severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 34.83 | 24.63, 45.03
Female | 31.39 | 26.44, 36.33
intermediate level of education, independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 94.31 | 84.54, 104.07
Female | 96.49 | 90.18, 102.80
intermediate level of education, slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 88.03 | 81.77, 94.28
Female | 86.30 | 82.77, 89.83
intermediate level of education, moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 74.79 | 68.93, 80.65
Female | 73.02 | 69.88, 76.16
intermediate level of education, severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 30.32 | 23.66, 36.99
Female | 32.20 | 29.09, 35.31
high level of education, independent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 89.59 | 57.44, 121.74
Female | 89.23 | 73.53, 104.93
high level of education, slightly dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 85.19 | 74.09, 96.29
Female | 83.19 | 76.67, 89.71
high level of education, moderately dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 73.19 | 65.14, 81.24
Female | 71.76 | 66.21, 77.31
high level of education, severely dependent
c161sex | Predicted | 95% CI
-----------------------------------
Male | 32.85 | 24.05, 41.66
Female | 37.10 | 30.99, 43.21
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE, collapse_ci = TRUE)
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 96.07 (75.80, 116.35)
Female | 88.02 (76.31, 99.73)
low level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 84.39 (73.29, 95.50)
Female | 84.14 (77.73, 90.55)
low level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 68.85 (60.08, 77.62)
Female | 73.20 (67.82, 78.59)
low level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 34.83 (24.63, 45.03)
Female | 31.39 (26.44, 36.33)
intermediate level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 94.31 (84.54, 104.07)
Female | 96.49 (90.18, 102.80)
intermediate level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 88.03 (81.77, 94.28)
Female | 86.30 (82.77, 89.83)
intermediate level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 74.79 (68.93, 80.65)
Female | 73.02 (69.88, 76.16)
intermediate level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 30.32 (23.66, 36.99)
Female | 32.20 (29.09, 35.31)
high level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 89.59 (57.44, 121.74)
Female | 89.23 (73.53, 104.93)
high level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 85.19 (74.09, 96.29)
Female | 83.19 (76.67, 89.71)
high level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 73.19 (65.14, 81.24)
Female | 71.76 (66.21, 77.31)
high level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 32.85 (24.05, 41.66)
Female | 37.10 (30.99, 43.21)
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE, collapse_ci = TRUE, ci_brackets = c("[", "]"))
Output
# Predicted values of Total score BARTHEL INDEX
low level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 96.07 [75.80, 116.35]
Female | 88.02 [76.31, 99.73]
low level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 84.39 [73.29, 95.50]
Female | 84.14 [77.73, 90.55]
low level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 68.85 [60.08, 77.62]
Female | 73.20 [67.82, 78.59]
low level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 34.83 [24.63, 45.03]
Female | 31.39 [26.44, 36.33]
intermediate level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 94.31 [84.54, 104.07]
Female | 96.49 [90.18, 102.80]
intermediate level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 88.03 [81.77, 94.28]
Female | 86.30 [82.77, 89.83]
intermediate level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 74.79 [68.93, 80.65]
Female | 73.02 [69.88, 76.16]
intermediate level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 30.32 [23.66, 36.99]
Female | 32.20 [29.09, 35.31]
high level of education, independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 89.59 [57.44, 121.74]
Female | 89.23 [73.53, 104.93]
high level of education, slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 85.19 [74.09, 96.29]
Female | 83.19 [76.67, 89.71]
high level of education, moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 73.19 [65.14, 81.24]
Female | 71.76 [66.21, 77.31]
high level of education, severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 32.85 [24.05, 41.66]
Female | 37.10 [30.99, 43.21]
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = TRUE, collapse_ci = TRUE, ci_brackets = c("[", "]"))
Output
# Predicted values of Total score BARTHEL INDEX
c172code: low level of education
e42dep: independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 96.07 [75.80, 116.35]
Female | 88.02 [76.31, 99.73]
c172code: low level of education
e42dep: slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 84.39 [73.29, 95.50]
Female | 84.14 [77.73, 90.55]
c172code: low level of education
e42dep: moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 68.85 [60.08, 77.62]
Female | 73.20 [67.82, 78.59]
c172code: low level of education
e42dep: severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 34.83 [24.63, 45.03]
Female | 31.39 [26.44, 36.33]
c172code: intermediate level of education
e42dep: independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 94.31 [84.54, 104.07]
Female | 96.49 [90.18, 102.80]
c172code: intermediate level of education
e42dep: slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 88.03 [81.77, 94.28]
Female | 86.30 [82.77, 89.83]
c172code: intermediate level of education
e42dep: moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 74.79 [68.93, 80.65]
Female | 73.02 [69.88, 76.16]
c172code: intermediate level of education
e42dep: severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 30.32 [23.66, 36.99]
Female | 32.20 [29.09, 35.31]
c172code: high level of education
e42dep: independent
c161sex | Predicted (95% CI)
-------------------------------
Male | 89.59 [57.44, 121.74]
Female | 89.23 [73.53, 104.93]
c172code: high level of education
e42dep: slightly dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 85.19 [74.09, 96.29]
Female | 83.19 [76.67, 89.71]
c172code: high level of education
e42dep: moderately dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 73.19 [65.14, 81.24]
Female | 71.76 [66.21, 77.31]
c172code: high level of education
e42dep: severely dependent
c161sex | Predicted (95% CI)
-------------------------------
Male | 32.85 [24.05, 41.66]
Female | 37.10 [30.99, 43.21]
Adjusted for:
* c160age = 53.00
Code
print(pr, group_name = FALSE, collapse_ci = TRUE)
Output
# Predicted values of Total score BARTHEL INDEX
e42dep | Predicted (95% CI)
-------------------------------------------
independent | 94.36 (90.00, 98.72)
slightly dependent | 85.69 (83.31, 88.07)
moderately dependent | 73.17 (71.15, 75.20)
severely dependent | 33.17 (31.09, 35.24)
Adjusted for:
* c160age = 53.36
ggpredict, collapse tables
Code
print(ggpredict(m, c("Petal.Length", "Species")), collapse_tables = TRUE, n = 3)
Output
# Predicted values of Sepal.Length
Petal.Length | Species | Predicted | 95% CI
---------------------------------------------------
1.00 | setosa | 4.76 | 4.49, 5.03
3.00 | | 5.84 | 4.99, 6.69
7.00 | | 8.01 | 4.98, 11.04
1.00 | versicolor | 3.24 | 2.57, 3.90
3.00 | | 4.89 | 4.62, 5.16
7.00 | | 8.21 | 7.64, 8.77
1.00 | virginica | 2.06 | 1.27, 2.84
3.00 | | 4.05 | 3.60, 4.50
7.00 | | 8.03 | 7.76, 8.30
Message
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
ggpredict, ci-level
Code
print(out)
Output
# Predicted values of Sepal.Length
Species | Predicted | 95% CI
-----------------------------------
setosa | 5.01 | 4.86, 5.15
versicolor | 5.94 | 5.79, 6.08
virginica | 6.59 | 6.44, 6.73
Code
print(out)
Output
# Predicted values of Sepal.Length
Species | Predicted | 80% CI
-----------------------------------
setosa | 5.01 | 4.91, 5.10
versicolor | 5.94 | 5.84, 6.03
virginica | 6.59 | 6.49, 6.68
ggpredict, weights
Code
print(ggaverage(m, c("Infl", "Type", "Sat")), collapse_tables = TRUE)
Output
# Average predicted values of Freq
Infl | Type | Sat | Predicted | 95% CI
------------------------------------------------------
Low | Tower | Low | 17.50 | 2.69, 32.31
Medium | | | 25.50 | 10.69, 40.31
High | | | 6.50 | -8.31, 21.31
Low | | Medium | 20.00 | 5.19, 34.81
Medium | | | 22.50 | 7.69, 37.31
High | | | 8.00 | -6.81, 22.81
Low | | High | 32.50 | 17.69, 47.31
Medium | | | 38.00 | 23.19, 52.81
High | | | 29.50 | 14.69, 44.31
Low | Apartment | Low | 69.50 | 54.69, 84.31
Medium | | | 45.50 | 30.69, 60.31
High | | | 20.50 | 5.69, 35.31
Low | | Medium | 34.50 | 19.69, 49.31
Medium | | | 40.00 | 25.19, 54.81
High | | | 21.50 | 6.69, 36.31
Low | | High | 30.00 | 15.19, 44.81
Medium | | | 63.00 | 48.19, 77.81
High | | | 58.00 | 43.19, 72.81
Low | Atrium | Low | 16.50 | 1.69, 31.31
Medium | | | 9.00 | -5.81, 23.81
High | | | 6.50 | -8.31, 21.31
Low | | Medium | 16.00 | 1.19, 30.81
Medium | | | 15.00 | 0.19, 29.81
High | | | 8.50 | -6.31, 23.31
Low | | High | 15.00 | 0.19, 29.81
Medium | | | 18.00 | 3.19, 32.81
High | | | 15.00 | 0.19, 29.81
Low | Terrace | Low | 37.50 | 22.69, 52.31
Medium | | | 23.00 | 8.19, 37.81
High | | | 6.00 | -8.81, 20.81
Low | | Medium | 14.50 | -0.31, 29.31
Medium | | | 17.00 | 2.19, 31.81
High | | | 5.50 | -9.31, 20.31
Low | | High | 10.00 | -4.81, 24.81
Medium | | | 13.00 | -1.81, 27.81
High | | | 12.00 | -2.81, 26.81
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