Code
print(out)
Output
$c12hour
# Predicted values of Total score BARTHEL INDEX
c12hour | Predicted | 95% CI
----------------------------------
0 | 72.81 | 67.90, 77.72
20 | 67.75 | 63.01, 72.48
45 | 61.42 | 56.77, 66.07
65 | 56.35 | 51.66, 61.05
85 | 51.29 | 46.45, 56.13
105 | 46.22 | 41.16, 51.29
125 | 41.16 | 35.79, 46.53
170 | 29.76 | 23.48, 36.05
Adjusted for:
* neg_c_7 = 11.84
* c161sex = Male
* c172code = low level of education
Message
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
Output
$neg_c_7
# Predicted values of Total score BARTHEL INDEX
neg_c_7 | Predicted | 95% CI
----------------------------------
6 | 75.45 | 70.26, 80.63
8 | 70.88 | 66.03, 75.74
12 | 61.76 | 57.10, 66.42
14 | 57.19 | 52.39, 62.00
16 | 52.63 | 47.52, 57.74
20 | 43.51 | 37.45, 49.57
22 | 38.94 | 32.28, 45.61
28 | 25.26 | 16.49, 34.02
Adjusted for:
* c12hour = 42.20
* c161sex = Male
* c172code = low level of education
Message
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
Output
$c161sex
# Predicted values of Total score BARTHEL INDEX
c161sex | Predicted | 95% CI
----------------------------------
Male | 62.13 | 57.47, 66.78
Female | 63.00 | 59.30, 66.71
Adjusted for:
* c12hour = 42.20
* neg_c_7 = 11.84
* c172code = low level of education
$c172code
# Predicted values of Total score BARTHEL INDEX
c172code | Predicted | 95% CI
----------------------------------------------------------
low level of education | 62.13 | 57.47, 66.78
intermediate level of education | 65.01 | 61.29, 68.73
high level of education | 63.34 | 58.63, 68.06
Adjusted for:
* c12hour = 42.20
* neg_c_7 = 11.84
* c161sex = Male
attr(,"class")
[1] "ggalleffects" "list"
attr(,"model.name")
[1] "fit"
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