tests/testthat/_snaps/windows/print.md
In easystats/estimate: Estimation of Model-Based Predictions, Contrasts and Means
estimate_slopes - print summary
Code
estimate_slopes(model_lm, trend = "x", by = "x", backend = "emmeans")
Output
Estimated Marginal Effects
x | Slope | SE | 95% CI | t(998) | p
-------------------------------------------------------
-3.38 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-2.64 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-1.90 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-1.16 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-0.42 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
0.32 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
1.06 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
1.80 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
2.54 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
3.28 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
Marginal effects estimated for x
Code
summary(deriv)
Message
There might be too few data to accurately determine intervals. Consider
setting `length = 100` (or larger) in your call to `estimate_slopes()`.
Output
Johnson-Neymann Intervals
Start | End | Direction | Confidence
--------------------------------------
-3.38 | 3.28 | positive | Significant
Marginal effects estimated for x
Code
estimate_slopes(model_lm, trend = "x", by = "x", backend = "marginaleffects")
Output
Estimated Marginal Effects
x | Slope | SE | 95% CI | t | p
------------------------------------------------------
-3.38 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-2.64 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-1.90 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
-1.16 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-0.42 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
0.32 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
1.06 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
1.80 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
2.54 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
3.28 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
Marginal effects estimated for x
Type of slope was dY/dX
Code
summary(deriv2)
Message
There might be too few data to accurately determine intervals. Consider
setting `length = 100` (or larger) in your call to `estimate_slopes()`.
Output
Johnson-Neymann Intervals
Start | End | Direction | Confidence
--------------------------------------
-3.38 | 3.28 | positive | Significant
Marginal effects estimated for x
Type of slope was dY/dX
estimate_slopes - print regular
Code
print(estimate_slopes(model, trend = "Petal.Length", backend = "emmeans"))
Output
Estimated Marginal Effects
Slope | SE | 95% CI | t(144) | p
---------------------------------------------
0.79 | 0.10 | [0.59, 0.99] | 7.69 | < .001
Marginal effects estimated for Petal.Length
Code
print(estimate_slopes(model, trend = "Petal.Length", backend = "marginaleffects"))
Output
Estimated Marginal Effects
Slope | SE | 95% CI | t | p
-------------------------------------------
0.79 | 0.10 | [0.59, 0.99] | 7.69 | < .001
Marginal effects estimated for Petal.Length
Type of slope was dY/dX
estimate_means - print multiple by's
Code
print(estimate_means(fit, c("c12hour", "c172code", "c161sex"), length = 4,
backend = "marginaleffects"), table_width = Inf)
Output
Estimated Marginal Means
c12hour | c172code | c161sex | Mean | SE | 95% CI | t(791)
--------------------------------------------------------------------------------------------
4.00 | low level of education | Male | 11.66 | 0.90 | [ 9.90, 13.42] | 12.99
58.67 | low level of education | Male | 10.93 | 1.01 | [ 8.95, 12.91] | 10.86
113.33 | low level of education | Male | 10.20 | 2.31 | [ 5.66, 14.74] | 4.41
168.00 | low level of education | Male | 9.47 | 3.72 | [ 2.17, 16.77] | 2.55
4.00 | intermediate level of education | Male | 11.47 | 0.48 | [10.54, 12.41] | 24.12
58.67 | intermediate level of education | Male | 12.52 | 0.69 | [11.16, 13.87] | 18.12
113.33 | intermediate level of education | Male | 13.56 | 1.46 | [10.70, 16.42] | 9.31
168.00 | intermediate level of education | Male | 14.61 | 2.27 | [10.15, 19.07] | 6.43
4.00 | high level of education | Male | 11.03 | 0.63 | [ 9.79, 12.27] | 17.41
58.67 | high level of education | Male | 11.83 | 0.75 | [10.36, 13.30] | 15.78
113.33 | high level of education | Male | 12.63 | 1.42 | [ 9.84, 15.42] | 8.90
168.00 | high level of education | Male | 13.43 | 2.18 | [ 9.14, 17.71] | 6.15
4.00 | low level of education | Female | 12.24 | 0.41 | [11.43, 13.05] | 29.60
58.67 | low level of education | Female | 11.94 | 0.34 | [11.28, 12.60] | 35.50
113.33 | low level of education | Female | 11.65 | 0.54 | [10.59, 12.71] | 21.54
168.00 | low level of education | Female | 11.36 | 0.84 | [ 9.70, 13.01] | 13.49
4.00 | intermediate level of education | Female | 11.34 | 0.24 | [10.87, 11.81] | 47.06
58.67 | intermediate level of education | Female | 12.24 | 0.22 | [11.80, 12.67] | 54.82
113.33 | intermediate level of education | Female | 13.13 | 0.40 | [12.35, 13.91] | 33.09
168.00 | intermediate level of education | Female | 14.03 | 0.62 | [12.82, 15.24] | 22.72
4.00 | high level of education | Female | 12.49 | 0.45 | [11.61, 13.38] | 27.68
58.67 | high level of education | Female | 12.90 | 0.48 | [11.96, 13.84] | 26.99
113.33 | high level of education | Female | 13.31 | 0.97 | [11.40, 15.21] | 13.72
168.00 | high level of education | Female | 13.71 | 1.53 | [10.71, 16.71] | 8.97
Variable predicted: neg_c_7
Predictors modulated: c12hour, c172code, c161sex
Predictors averaged: barthtot (65)
Code
print(estimate_means(fit, c("c12hour", "barthtot = [sd]", "c161sex", "c172code",
"e16sex"), backend = "marginaleffects", length = 3), table_width = Inf)
Output
Estimated Marginal Means
c12hour | barthtot | c161sex | c172code | e16sex | Mean | SE | 95% CI | t(766)
-------------------------------------------------------------------------------------------------------------------
4 | 35.12 | Male | low level of education | male | 9.74 | 4.63 | [ 0.66, 18.83] | 2.10
86 | 35.12 | Male | low level of education | male | 21.80 | 21.63 | [-20.65, 64.25] | 1.01
168 | 35.12 | Male | low level of education | male | 33.86 | 47.25 | [-58.90, 126.61] | 0.72
4 | 64.73 | Male | low level of education | male | 9.39 | 1.90 | [ 5.67, 13.11] | 4.95
86 | 64.73 | Male | low level of education | male | 11.99 | 5.40 | [ 1.39, 22.59] | 2.22
168 | 64.73 | Male | low level of education | male | 14.59 | 12.26 | [ -9.47, 38.66] | 1.19
4 | 94.34 | Male | low level of education | male | 9.03 | 2.38 | [ 4.36, 13.71] | 3.79
86 | 94.34 | Male | low level of education | male | 2.18 | 16.20 | [-29.62, 33.98] | 0.13
168 | 94.34 | Male | low level of education | male | -4.67 | 34.35 | [-72.09, 62.75] | -0.14
4 | 35.12 | Female | low level of education | male | 14.36 | 0.86 | [ 12.67, 16.05] | 16.71
86 | 35.12 | Female | low level of education | male | 13.13 | 0.54 | [ 12.07, 14.18] | 24.50
168 | 35.12 | Female | low level of education | male | 11.89 | 1.03 | [ 9.87, 13.91] | 11.58
4 | 64.73 | Female | low level of education | male | 11.84 | 0.62 | [ 10.62, 13.07] | 18.99
86 | 64.73 | Female | low level of education | male | 11.56 | 0.55 | [ 10.47, 12.64] | 20.92
168 | 64.73 | Female | low level of education | male | 11.27 | 1.06 | [ 9.19, 13.35] | 10.62
4 | 94.34 | Female | low level of education | male | 9.32 | 0.93 | [ 7.50, 11.15] | 10.05
86 | 94.34 | Female | low level of education | male | 9.99 | 0.87 | [ 8.29, 11.69] | 11.52
168 | 94.34 | Female | low level of education | male | 10.65 | 1.62 | [ 7.47, 13.82] | 6.58
4 | 35.12 | Male | intermediate level of education | male | 22.45 | 3.74 | [ 15.10, 29.80] | 6.00
86 | 35.12 | Male | intermediate level of education | male | 7.37 | 6.96 | [ -6.30, 21.03] | 1.06
168 | 35.12 | Male | intermediate level of education | male | -7.72 | 17.20 | [-41.47, 26.04] | -0.45
4 | 64.73 | Male | intermediate level of education | male | 15.45 | 1.82 | [ 11.87, 19.03] | 8.47
86 | 64.73 | Male | intermediate level of education | male | 14.82 | 5.47 | [ 4.08, 25.56] | 2.71
168 | 64.73 | Male | intermediate level of education | male | 14.19 | 12.22 | [ -9.81, 38.18] | 1.16
4 | 94.34 | Male | intermediate level of education | male | 8.45 | 1.17 | [ 6.16, 10.74] | 7.23
86 | 94.34 | Male | intermediate level of education | male | 22.27 | 7.76 | [ 7.05, 37.50] | 2.87
168 | 94.34 | Male | intermediate level of education | male | 36.09 | 16.29 | [ 4.11, 68.07] | 2.22
4 | 35.12 | Female | intermediate level of education | male | 12.96 | 0.79 | [ 11.40, 14.52] | 16.34
86 | 35.12 | Female | intermediate level of education | male | 14.46 | 0.47 | [ 13.55, 15.38] | 31.06
168 | 35.12 | Female | intermediate level of education | male | 15.97 | 0.67 | [ 14.66, 17.27] | 24.00
4 | 64.73 | Female | intermediate level of education | male | 11.48 | 0.45 | [ 10.59, 12.38] | 25.25
86 | 64.73 | Female | intermediate level of education | male | 13.22 | 0.44 | [ 12.37, 14.08] | 30.36
168 | 64.73 | Female | intermediate level of education | male | 14.96 | 0.85 | [ 13.28, 16.64] | 17.53
4 | 94.34 | Female | intermediate level of education | male | 10.01 | 0.54 | [ 8.95, 11.07] | 18.59
86 | 94.34 | Female | intermediate level of education | male | 11.98 | 0.66 | [ 10.69, 13.27] | 18.22
168 | 94.34 | Female | intermediate level of education | male | 13.95 | 1.32 | [ 11.37, 16.54] | 10.60
4 | 35.12 | Male | high level of education | male | 11.88 | 2.02 | [ 7.91, 15.85] | 5.88
86 | 35.12 | Male | high level of education | male | 13.93 | 1.48 | [ 11.03, 16.83] | 9.44
168 | 35.12 | Male | high level of education | male | 15.97 | 2.48 | [ 11.10, 20.84] | 6.44
4 | 64.73 | Male | high level of education | male | 11.45 | 1.19 | [ 9.11, 13.79] | 9.62
86 | 64.73 | Male | high level of education | male | 12.48 | 2.02 | [ 8.53, 16.44] | 6.19
168 | 64.73 | Male | high level of education | male | 13.52 | 4.09 | [ 5.49, 21.55] | 3.30
4 | 94.34 | Male | high level of education | male | 11.02 | 1.56 | [ 7.95, 14.09] | 7.05
86 | 94.34 | Male | high level of education | male | 11.04 | 3.23 | [ 4.70, 17.38] | 3.42
168 | 94.34 | Male | high level of education | male | 11.06 | 6.59 | [ -1.88, 24.00] | 1.68
4 | 35.12 | Female | high level of education | male | 15.92 | 1.51 | [ 12.96, 18.88] | 10.55
86 | 35.12 | Female | high level of education | male | 14.36 | 1.08 | [ 12.23, 16.49] | 13.26
168 | 35.12 | Female | high level of education | male | 12.80 | 2.20 | [ 8.48, 17.12] | 5.82
4 | 64.73 | Female | high level of education | male | 13.02 | 0.88 | [ 11.29, 14.75] | 14.78
86 | 64.73 | Female | high level of education | male | 12.35 | 1.20 | [ 9.98, 14.71] | 10.25
168 | 64.73 | Female | high level of education | male | 11.67 | 2.63 | [ 6.50, 16.84] | 4.43
4 | 94.34 | Female | high level of education | male | 10.13 | 1.09 | [ 7.99, 12.27] | 9.29
86 | 94.34 | Female | high level of education | male | 10.33 | 1.88 | [ 6.65, 14.01] | 5.51
168 | 94.34 | Female | high level of education | male | 10.53 | 3.97 | [ 2.73, 18.33] | 2.65
4 | 35.12 | Male | low level of education | female | 16.94 | 2.25 | [ 12.52, 21.35] | 7.53
86 | 35.12 | Male | low level of education | female | 13.60 | 1.19 | [ 11.26, 15.95] | 11.39
168 | 35.12 | Male | low level of education | female | 10.27 | 2.16 | [ 6.03, 14.50] | 4.76
4 | 64.73 | Male | low level of education | female | 13.01 | 1.16 | [ 10.73, 15.29] | 11.20
86 | 64.73 | Male | low level of education | female | 10.57 | 1.77 | [ 7.10, 14.04] | 5.98
168 | 64.73 | Male | low level of education | female | 8.13 | 4.09 | [ 0.10, 16.17] | 1.99
4 | 94.34 | Male | low level of education | female | 9.08 | 1.81 | [ 5.52, 12.65] | 5.01
86 | 94.34 | Male | low level of education | female | 7.54 | 2.93 | [ 1.80, 13.29] | 2.58
168 | 94.34 | Male | low level of education | female | 6.00 | 6.44 | [ -6.64, 18.64] | 0.93
4 | 35.12 | Female | low level of education | female | 15.68 | 0.97 | [ 13.78, 17.58] | 16.19
86 | 35.12 | Female | low level of education | female | 14.22 | 0.59 | [ 13.06, 15.39] | 23.91
168 | 35.12 | Female | low level of education | female | 12.77 | 1.09 | [ 10.63, 14.90] | 11.74
4 | 64.73 | Female | low level of education | female | 12.73 | 0.58 | [ 11.60, 13.87] | 21.99
86 | 64.73 | Female | low level of education | female | 11.97 | 0.66 | [ 10.67, 13.26] | 18.09
168 | 64.73 | Female | low level of education | female | 11.20 | 1.39 | [ 8.48, 13.92] | 8.07
4 | 94.34 | Female | low level of education | female | 9.79 | 0.70 | [ 8.40, 11.17] | 13.90
86 | 94.34 | Female | low level of education | female | 9.71 | 1.07 | [ 7.60, 11.81] | 9.05
168 | 94.34 | Female | low level of education | female | 9.63 | 2.25 | [ 5.21, 14.05] | 4.28
4 | 35.12 | Male | intermediate level of education | female | 12.23 | 0.91 | [ 10.45, 14.01] | 13.48
86 | 35.12 | Male | intermediate level of education | female | 12.65 | 0.66 | [ 11.35, 13.95] | 19.13
168 | 35.12 | Male | intermediate level of education | female | 13.08 | 1.23 | [ 10.67, 15.49] | 10.66
4 | 64.73 | Male | intermediate level of education | female | 10.72 | 0.55 | [ 9.64, 11.79] | 19.58
86 | 64.73 | Male | intermediate level of education | female | 12.65 | 1.08 | [ 10.53, 14.77] | 11.70
168 | 64.73 | Male | intermediate level of education | female | 14.59 | 2.32 | [ 10.03, 19.15] | 6.28
4 | 94.34 | Male | intermediate level of education | female | 9.21 | 0.62 | [ 7.99, 10.42] | 14.89
86 | 94.34 | Male | intermediate level of education | female | 12.65 | 1.77 | [ 9.18, 16.12] | 7.16
168 | 94.34 | Male | intermediate level of education | female | 16.10 | 3.71 | [ 8.81, 23.39] | 4.34
4 | 35.12 | Female | intermediate level of education | female | 12.91 | 0.47 | [ 11.99, 13.84] | 27.33
86 | 35.12 | Female | intermediate level of education | female | 13.14 | 0.33 | [ 12.49, 13.79] | 39.53
168 | 35.12 | Female | intermediate level of education | female | 13.37 | 0.64 | [ 12.12, 14.62] | 20.93
4 | 64.73 | Female | intermediate level of education | female | 11.38 | 0.29 | [ 10.83, 11.94] | 39.94
86 | 64.73 | Female | intermediate level of education | female | 12.28 | 0.42 | [ 11.45, 13.10] | 29.25
168 | 64.73 | Female | intermediate level of education | female | 13.17 | 0.88 | [ 11.43, 14.91] | 14.88
4 | 94.34 | Female | intermediate level of education | female | 9.86 | 0.34 | [ 9.18, 10.53] | 28.57
86 | 94.34 | Female | intermediate level of education | female | 11.41 | 0.67 | [ 10.10, 12.72] | 17.11
168 | 94.34 | Female | intermediate level of education | female | 12.97 | 1.40 | [ 10.22, 15.72] | 9.26
4 | 35.12 | Male | high level of education | female | 10.93 | 1.13 | [ 8.72, 13.14] | 9.71
86 | 35.12 | Male | high level of education | female | 12.15 | 0.88 | [ 10.42, 13.87] | 13.84
168 | 35.12 | Male | high level of education | female | 13.36 | 1.55 | [ 10.32, 16.41] | 8.62
4 | 64.73 | Male | high level of education | female | 10.86 | 0.75 | [ 9.40, 12.33] | 14.57
86 | 64.73 | Male | high level of education | female | 12.26 | 1.24 | [ 9.82, 14.70] | 9.88
168 | 64.73 | Male | high level of education | female | 13.66 | 2.57 | [ 8.62, 18.70] | 5.32
4 | 94.34 | Male | high level of education | female | 10.79 | 1.01 | [ 8.80, 12.78] | 10.65
86 | 94.34 | Male | high level of education | female | 12.38 | 2.09 | [ 8.28, 16.47] | 5.93
168 | 94.34 | Male | high level of education | female | 13.96 | 4.30 | [ 5.51, 22.41] | 3.24
4 | 35.12 | Female | high level of education | female | 13.86 | 0.91 | [ 12.06, 15.65] | 15.18
86 | 35.12 | Female | high level of education | female | 15.00 | 0.75 | [ 13.52, 16.48] | 19.90
168 | 35.12 | Female | high level of education | female | 16.15 | 1.55 | [ 13.11, 19.19] | 10.43
4 | 64.73 | Female | high level of education | female | 12.31 | 0.52 | [ 11.29, 13.34] | 23.59
86 | 64.73 | Female | high level of education | female | 13.54 | 0.86 | [ 11.84, 15.24] | 15.67
168 | 64.73 | Female | high level of education | female | 14.76 | 1.86 | [ 11.10, 18.42] | 7.92
4 | 94.34 | Female | high level of education | female | 10.77 | 0.73 | [ 9.34, 12.20] | 14.77
86 | 94.34 | Female | high level of education | female | 12.07 | 1.35 | [ 9.42, 14.73] | 8.91
168 | 94.34 | Female | high level of education | female | 13.38 | 2.80 | [ 7.87, 18.88] | 4.77
Variable predicted: neg_c_7
Predictors modulated: c12hour, barthtot = [sd], c161sex, c172code, e16sex
estimate_means - full labels
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst"),
backend = "marginaleffects"), table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | Mean | SE | 95% CI | t(402)
---------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 10.00 | 2.59 | [ 4.90, 15.10] | 3.85
Female | low level of education | male | Care Level 1 | 13.75 | 1.06 | [ 11.67, 15.83] | 12.98
Male | intermediate level of education | male | Care Level 1 | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | intermediate level of education | male | Care Level 1 | 10.55 | 0.78 | [ 9.01, 12.08] | 13.48
Male | high level of education | male | Care Level 1 | 14.25 | 1.83 | [ 10.64, 17.86] | 7.77
Female | high level of education | male | Care Level 1 | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Male | low level of education | female | Care Level 1 | 15.50 | 1.83 | [ 11.89, 19.11] | 8.45
Female | low level of education | female | Care Level 1 | 11.56 | 0.92 | [ 9.76, 13.37] | 12.60
Male | intermediate level of education | female | Care Level 1 | 10.16 | 0.84 | [ 8.50, 11.81] | 12.07
Female | intermediate level of education | female | Care Level 1 | 11.22 | 0.50 | [ 10.24, 12.20] | 22.47
Male | high level of education | female | Care Level 1 | 11.67 | 1.50 | [ 8.72, 14.61] | 7.79
Female | high level of education | female | Care Level 1 | 12.44 | 0.86 | [ 10.74, 14.14] | 14.39
Male | low level of education | male | Care Level 2 | 11.00 | 2.59 | [ 5.90, 16.10] | 4.24
Female | low level of education | male | Care Level 2 | 12.23 | 1.02 | [ 10.23, 14.23] | 12.02
Male | intermediate level of education | male | Care Level 2 | 13.25 | 1.30 | [ 10.70, 15.80] | 10.21
Female | intermediate level of education | male | Care Level 2 | 13.00 | 0.68 | [ 11.66, 14.34] | 19.08
Male | high level of education | male | Care Level 2 | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Female | high level of education | male | Care Level 2 | 12.78 | 1.22 | [ 10.37, 15.18] | 10.45
Male | low level of education | female | Care Level 2 | 13.75 | 1.83 | [ 10.14, 17.36] | 7.49
Female | low level of education | female | Care Level 2 | 11.17 | 1.06 | [ 9.08, 13.25] | 10.54
Male | intermediate level of education | female | Care Level 2 | 11.17 | 0.86 | [ 9.47, 12.87] | 12.91
Female | intermediate level of education | female | Care Level 2 | 11.60 | 0.50 | [ 10.61, 12.59] | 23.02
Male | high level of education | female | Care Level 2 | 11.20 | 1.16 | [ 8.92, 13.48] | 9.65
Female | high level of education | female | Care Level 2 | 14.56 | 0.92 | [ 12.76, 16.37] | 15.87
Male | low level of education | male | Care Level 3/3+ | -13.53 | 7.92 | [-29.10, 2.04] | -1.71
Female | low level of education | male | Care Level 3/3+ | 12.09 | 1.11 | [ 9.92, 14.27] | 10.93
Male | intermediate level of education | male | Care Level 3/3+ | 13.57 | 1.39 | [ 10.85, 16.30] | 9.79
Female | intermediate level of education | male | Care Level 3/3+ | 16.50 | 0.78 | [ 14.96, 18.04] | 21.09
Male | high level of education | male | Care Level 3/3+ | 8.00 | 3.67 | [ 0.79, 15.21] | 2.18
Female | high level of education | male | Care Level 3/3+ | 16.33 | 2.12 | [ 12.17, 20.50] | 7.71
Male | low level of education | female | Care Level 3/3+ | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | low level of education | female | Care Level 3/3+ | 15.00 | 1.39 | [ 12.27, 17.73] | 10.82
Male | intermediate level of education | female | Care Level 3/3+ | 11.54 | 1.02 | [ 9.54, 13.54] | 11.34
Female | intermediate level of education | female | Care Level 3/3+ | 13.35 | 0.77 | [ 11.84, 14.85] | 17.45
Male | high level of education | female | Care Level 3/3+ | 13.00 | 1.83 | [ 9.39, 16.61] | 7.09
Female | high level of education | female | Care Level 3/3+ | 11.43 | 1.39 | [ 8.70, 14.15] | 8.24
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst"),
backend = "marginaleffects"), full_labels = FALSE, table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | Mean | SE | 95% CI | t(402)
---------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 10.00 | 2.59 | [ 4.90, 15.10] | 3.85
Female | | | | 13.75 | 1.06 | [ 11.67, 15.83] | 12.98
Male | intermediate level of education | | | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | | | | 10.55 | 0.78 | [ 9.01, 12.08] | 13.48
Male | high level of education | | | 14.25 | 1.83 | [ 10.64, 17.86] | 7.77
Female | | | | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Male | low level of education | female | | 15.50 | 1.83 | [ 11.89, 19.11] | 8.45
Female | | | | 11.56 | 0.92 | [ 9.76, 13.37] | 12.60
Male | intermediate level of education | | | 10.16 | 0.84 | [ 8.50, 11.81] | 12.07
Female | | | | 11.22 | 0.50 | [ 10.24, 12.20] | 22.47
Male | high level of education | | | 11.67 | 1.50 | [ 8.72, 14.61] | 7.79
Female | | | | 12.44 | 0.86 | [ 10.74, 14.14] | 14.39
Male | low level of education | male | Care Level 2 | 11.00 | 2.59 | [ 5.90, 16.10] | 4.24
Female | | | | 12.23 | 1.02 | [ 10.23, 14.23] | 12.02
Male | intermediate level of education | | | 13.25 | 1.30 | [ 10.70, 15.80] | 10.21
Female | | | | 13.00 | 0.68 | [ 11.66, 14.34] | 19.08
Male | high level of education | | | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Female | | | | 12.78 | 1.22 | [ 10.37, 15.18] | 10.45
Male | low level of education | female | | 13.75 | 1.83 | [ 10.14, 17.36] | 7.49
Female | | | | 11.17 | 1.06 | [ 9.08, 13.25] | 10.54
Male | intermediate level of education | | | 11.17 | 0.86 | [ 9.47, 12.87] | 12.91
Female | | | | 11.60 | 0.50 | [ 10.61, 12.59] | 23.02
Male | high level of education | | | 11.20 | 1.16 | [ 8.92, 13.48] | 9.65
Female | | | | 14.56 | 0.92 | [ 12.76, 16.37] | 15.87
Male | low level of education | male | Care Level 3/3+ | -13.53 | 7.92 | [-29.10, 2.04] | -1.71
Female | | | | 12.09 | 1.11 | [ 9.92, 14.27] | 10.93
Male | intermediate level of education | | | 13.57 | 1.39 | [ 10.85, 16.30] | 9.79
Female | | | | 16.50 | 0.78 | [ 14.96, 18.04] | 21.09
Male | high level of education | | | 8.00 | 3.67 | [ 0.79, 15.21] | 2.18
Female | | | | 16.33 | 2.12 | [ 12.17, 20.50] | 7.71
Male | low level of education | female | | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | | | | 15.00 | 1.39 | [ 12.27, 17.73] | 10.82
Male | intermediate level of education | | | 11.54 | 1.02 | [ 9.54, 13.54] | 11.34
Female | | | | 13.35 | 0.77 | [ 11.84, 14.85] | 17.45
Male | high level of education | | | 13.00 | 1.83 | [ 9.39, 16.61] | 7.09
Female | | | | 11.43 | 1.39 | [ 8.70, 14.15] | 8.24
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst",
"negc7d"), backend = "marginaleffects"), table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | negc7d | Mean | SE | 95% CI | t(370)
-----------------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | low level of education | male | Care Level 1 | 0 | 10.00 | 1.02 | [ 7.99, 12.01] | 9.80
Male | intermediate level of education | male | Care Level 1 | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | intermediate level of education | male | Care Level 1 | 0 | 9.13 | 0.59 | [ 7.97, 10.29] | 15.50
Male | high level of education | male | Care Level 1 | 0 | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | high level of education | male | Care Level 1 | 0 | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Male | low level of education | female | Care Level 1 | 0 | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Female | low level of education | female | Care Level 1 | 0 | 8.89 | 0.76 | [ 7.39, 10.38] | 11.69
Male | intermediate level of education | female | Care Level 1 | 0 | 9.21 | 0.61 | [ 8.02, 10.41] | 15.11
Female | intermediate level of education | female | Care Level 1 | 0 | 9.47 | 0.40 | [ 8.68, 10.26] | 23.48
Male | high level of education | female | Care Level 1 | 0 | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Female | high level of education | female | Care Level 1 | 0 | 8.71 | 0.86 | [ 7.02, 10.41] | 10.11
Male | low level of education | male | Care Level 2 | 0 | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | low level of education | male | Care Level 2 | 0 | 9.50 | 0.93 | [ 7.67, 11.33] | 10.20
Male | intermediate level of education | male | Care Level 2 | 0 | 8.75 | 1.14 | [ 6.51, 10.99] | 7.67
Female | intermediate level of education | male | Care Level 2 | 0 | 9.30 | 0.72 | [ 7.88, 10.72] | 12.89
Male | high level of education | male | Care Level 2 | 0 | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Female | high level of education | male | Care Level 2 | 0 | 9.00 | 1.14 | [ 6.76, 11.24] | 7.89
Male | low level of education | female | Care Level 2 | 0 | 10.50 | 1.61 | [ 7.33, 13.67] | 6.51
Female | low level of education | female | Care Level 2 | 0 | 9.17 | 0.93 | [ 7.34, 11.00] | 9.84
Male | intermediate level of education | female | Care Level 2 | 0 | 8.50 | 0.66 | [ 7.20, 9.80] | 12.91
Female | intermediate level of education | female | Care Level 2 | 0 | 9.30 | 0.42 | [ 8.48, 10.12] | 22.33
Male | high level of education | female | Care Level 2 | 0 | 9.43 | 0.86 | [ 7.73, 11.12] | 10.93
Female | high level of education | female | Care Level 2 | 0 | 8.00 | 1.61 | [ 4.83, 11.17] | 4.96
Male | low level of education | male | Care Level 3/3+ | 0 | 3.67 | 6.95 | [-10.00, 17.35] | 0.53
Female | low level of education | male | Care Level 3/3+ | 0 | 9.67 | 1.32 | [ 7.08, 12.26] | 7.34
Male | intermediate level of education | male | Care Level 3/3+ | 0 | 9.75 | 1.14 | [ 7.51, 11.99] | 8.55
Female | intermediate level of education | male | Care Level 3/3+ | 0 | 9.50 | 1.14 | [ 7.26, 11.74] | 8.33
Male | high level of education | male | Care Level 3/3+ | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | high level of education | male | Care Level 3/3+ | 0 | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Male | low level of education | female | Care Level 3/3+ | 0 | 8.50 | 1.61 | [ 5.33, 11.67] | 5.27
Female | low level of education | female | Care Level 3/3+ | 0 | 8.67 | 1.32 | [ 6.08, 11.26] | 6.58
Male | intermediate level of education | female | Care Level 3/3+ | 0 | 9.13 | 0.81 | [ 7.54, 10.71] | 11.31
Female | intermediate level of education | female | Care Level 3/3+ | 0 | 9.78 | 0.76 | [ 8.28, 11.27] | 12.86
Male | high level of education | female | Care Level 3/3+ | 0 | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | high level of education | female | Care Level 3/3+ | 0 | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Male | low level of education | male | Care Level 1 | 1 | 12.00 | 2.28 | [ 7.51, 16.49] | 5.26
Female | low level of education | male | Care Level 1 | 1 | 16.43 | 0.86 | [ 14.73, 18.12] | 19.05
Male | intermediate level of education | male | Care Level 1 | 1 | 14.00 | 1.61 | [ 10.83, 17.17] | 8.68
Female | intermediate level of education | male | Care Level 1 | 1 | 13.57 | 0.86 | [ 11.88, 15.27] | 15.74
Male | high level of education | male | Care Level 1 | 1 | 16.00 | 1.32 | [ 13.41, 18.59] | 12.15
Female | high level of education | male | Care Level 1 | 1 | 27.92 | 5.08 | [ 17.93, 37.91] | 5.50
Male | low level of education | female | Care Level 1 | 1 | 17.00 | 1.32 | [ 14.41, 19.59] | 12.91
Female | low level of education | female | Care Level 1 | 1 | 15.00 | 0.86 | [ 13.30, 16.70] | 17.40
Male | intermediate level of education | female | Care Level 1 | 1 | 12.80 | 1.02 | [ 10.79, 14.81] | 12.55
Female | intermediate level of education | female | Care Level 1 | 1 | 13.77 | 0.49 | [ 12.82, 14.73] | 28.32
Male | high level of education | female | Care Level 1 | 1 | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | high level of education | female | Care Level 1 | 1 | 14.82 | 0.69 | [ 13.47, 16.17] | 21.54
Male | low level of education | male | Care Level 2 | 1 | 13.00 | 2.28 | [ 8.51, 17.49] | 5.70
Female | low level of education | male | Care Level 2 | 1 | 14.57 | 0.86 | [ 12.88, 16.27] | 16.90
Male | intermediate level of education | male | Care Level 2 | 1 | 17.75 | 1.14 | [ 15.51, 19.99] | 15.56
Female | intermediate level of education | male | Care Level 2 | 1 | 14.95 | 0.52 | [ 13.92, 15.98] | 28.56
Male | high level of education | male | Care Level 2 | 1 | 3.80 | 8.72 | [-13.34, 20.94] | 0.44
Female | high level of education | male | Care Level 2 | 1 | 15.80 | 1.02 | [ 13.79, 17.81] | 15.49
Male | low level of education | female | Care Level 2 | 1 | 17.00 | 1.61 | [ 13.83, 20.17] | 10.54
Female | low level of education | female | Care Level 2 | 1 | 13.17 | 0.93 | [ 11.34, 15.00] | 14.14
Male | intermediate level of education | female | Care Level 2 | 1 | 16.50 | 0.93 | [ 14.67, 18.33] | 17.72
Female | intermediate level of education | female | Care Level 2 | 1 | 14.61 | 0.48 | [ 13.67, 15.54] | 30.71
Male | high level of education | female | Care Level 2 | 1 | 15.33 | 1.32 | [ 12.74, 17.92] | 11.64
Female | high level of education | female | Care Level 2 | 1 | 15.50 | 0.61 | [ 14.30, 16.70] | 25.42
Male | low level of education | male | Care Level 3/3+ | 1 | 1.78 | 7.99 | [-13.93, 17.48] | 0.22
Female | low level of education | male | Care Level 3/3+ | 1 | 13.00 | 0.81 | [ 11.41, 14.59] | 16.12
Male | intermediate level of education | male | Care Level 3/3+ | 1 | 18.67 | 1.32 | [ 16.08, 21.26] | 14.17
Female | intermediate level of education | male | Care Level 3/3+ | 1 | 18.06 | 0.54 | [ 17.00, 19.11] | 33.58
Male | high level of education | male | Care Level 3/3+ | 1 | 4.60 | 7.00 | [ -9.17, 18.38] | 0.66
Female | high level of education | male | Care Level 3/3+ | 1 | 19.00 | 1.61 | [ 15.83, 22.17] | 11.78
Male | low level of education | female | Care Level 3/3+ | 1 | 19.00 | 2.28 | [ 14.51, 23.49] | 8.33
Female | low level of education | female | Care Level 3/3+ | 1 | 19.75 | 1.14 | [ 17.51, 21.99] | 17.31
Male | intermediate level of education | female | Care Level 3/3+ | 1 | 15.40 | 1.02 | [ 13.39, 17.41] | 15.09
Female | intermediate level of education | female | Care Level 3/3+ | 1 | 15.64 | 0.61 | [ 14.44, 16.84] | 25.65
Male | high level of education | female | Care Level 3/3+ | 1 | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | high level of education | female | Care Level 3/3+ | 1 | 13.25 | 1.14 | [ 11.01, 15.49] | 11.62
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst, negc7d
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst",
"negc7d"), backend = "marginaleffects"), full_labels = FALSE, table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | negc7d | Mean | SE | 95% CI | t(370)
-----------------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | | | | | 10.00 | 1.02 | [ 7.99, 12.01] | 9.80
Male | intermediate level of education | | | | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | | | | | 9.13 | 0.59 | [ 7.97, 10.29] | 15.50
Male | high level of education | | | | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | | | | | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Male | low level of education | female | | | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Female | | | | | 8.89 | 0.76 | [ 7.39, 10.38] | 11.69
Male | intermediate level of education | | | | 9.21 | 0.61 | [ 8.02, 10.41] | 15.11
Female | | | | | 9.47 | 0.40 | [ 8.68, 10.26] | 23.48
Male | high level of education | | | | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Female | | | | | 8.71 | 0.86 | [ 7.02, 10.41] | 10.11
Male | low level of education | male | Care Level 2 | | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | | | | | 9.50 | 0.93 | [ 7.67, 11.33] | 10.20
Male | intermediate level of education | | | | 8.75 | 1.14 | [ 6.51, 10.99] | 7.67
Female | | | | | 9.30 | 0.72 | [ 7.88, 10.72] | 12.89
Male | high level of education | | | | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Female | | | | | 9.00 | 1.14 | [ 6.76, 11.24] | 7.89
Male | low level of education | female | | | 10.50 | 1.61 | [ 7.33, 13.67] | 6.51
Female | | | | | 9.17 | 0.93 | [ 7.34, 11.00] | 9.84
Male | intermediate level of education | | | | 8.50 | 0.66 | [ 7.20, 9.80] | 12.91
Female | | | | | 9.30 | 0.42 | [ 8.48, 10.12] | 22.33
Male | high level of education | | | | 9.43 | 0.86 | [ 7.73, 11.12] | 10.93
Female | | | | | 8.00 | 1.61 | [ 4.83, 11.17] | 4.96
Male | low level of education | male | Care Level 3/3+ | | 3.67 | 6.95 | [-10.00, 17.35] | 0.53
Female | | | | | 9.67 | 1.32 | [ 7.08, 12.26] | 7.34
Male | intermediate level of education | | | | 9.75 | 1.14 | [ 7.51, 11.99] | 8.55
Female | | | | | 9.50 | 1.14 | [ 7.26, 11.74] | 8.33
Male | high level of education | | | | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | | | | | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Male | low level of education | female | | | 8.50 | 1.61 | [ 5.33, 11.67] | 5.27
Female | | | | | 8.67 | 1.32 | [ 6.08, 11.26] | 6.58
Male | intermediate level of education | | | | 9.13 | 0.81 | [ 7.54, 10.71] | 11.31
Female | | | | | 9.78 | 0.76 | [ 8.28, 11.27] | 12.86
Male | high level of education | | | | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | | | | | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Male | low level of education | male | Care Level 1 | 1 | 12.00 | 2.28 | [ 7.51, 16.49] | 5.26
Female | | | | | 16.43 | 0.86 | [ 14.73, 18.12] | 19.05
Male | intermediate level of education | | | | 14.00 | 1.61 | [ 10.83, 17.17] | 8.68
Female | | | | | 13.57 | 0.86 | [ 11.88, 15.27] | 15.74
Male | high level of education | | | | 16.00 | 1.32 | [ 13.41, 18.59] | 12.15
Female | | | | | 27.92 | 5.08 | [ 17.93, 37.91] | 5.50
Male | low level of education | female | | | 17.00 | 1.32 | [ 14.41, 19.59] | 12.91
Female | | | | | 15.00 | 0.86 | [ 13.30, 16.70] | 17.40
Male | intermediate level of education | | | | 12.80 | 1.02 | [ 10.79, 14.81] | 12.55
Female | | | | | 13.77 | 0.49 | [ 12.82, 14.73] | 28.32
Male | high level of education | | | | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | | | | | 14.82 | 0.69 | [ 13.47, 16.17] | 21.54
Male | low level of education | male | Care Level 2 | | 13.00 | 2.28 | [ 8.51, 17.49] | 5.70
Female | | | | | 14.57 | 0.86 | [ 12.88, 16.27] | 16.90
Male | intermediate level of education | | | | 17.75 | 1.14 | [ 15.51, 19.99] | 15.56
Female | | | | | 14.95 | 0.52 | [ 13.92, 15.98] | 28.56
Male | high level of education | | | | 3.80 | 8.72 | [-13.34, 20.94] | 0.44
Female | | | | | 15.80 | 1.02 | [ 13.79, 17.81] | 15.49
Male | low level of education | female | | | 17.00 | 1.61 | [ 13.83, 20.17] | 10.54
Female | | | | | 13.17 | 0.93 | [ 11.34, 15.00] | 14.14
Male | intermediate level of education | | | | 16.50 | 0.93 | [ 14.67, 18.33] | 17.72
Female | | | | | 14.61 | 0.48 | [ 13.67, 15.54] | 30.71
Male | high level of education | | | | 15.33 | 1.32 | [ 12.74, 17.92] | 11.64
Female | | | | | 15.50 | 0.61 | [ 14.30, 16.70] | 25.42
Male | low level of education | male | Care Level 3/3+ | | 1.78 | 7.99 | [-13.93, 17.48] | 0.22
Female | | | | | 13.00 | 0.81 | [ 11.41, 14.59] | 16.12
Male | intermediate level of education | | | | 18.67 | 1.32 | [ 16.08, 21.26] | 14.17
Female | | | | | 18.06 | 0.54 | [ 17.00, 19.11] | 33.58
Male | high level of education | | | | 4.60 | 7.00 | [ -9.17, 18.38] | 0.66
Female | | | | | 19.00 | 1.61 | [ 15.83, 22.17] | 11.78
Male | low level of education | female | | | 19.00 | 2.28 | [ 14.51, 23.49] | 8.33
Female | | | | | 19.75 | 1.14 | [ 17.51, 21.99] | 17.31
Male | intermediate level of education | | | | 15.40 | 1.02 | [ 13.39, 17.41] | 15.09
Female | | | | | 15.64 | 0.61 | [ 14.44, 16.84] | 25.65
Male | high level of education | | | | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | | | | | 13.25 | 1.14 | [ 11.01, 15.49] | 11.62
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst, negc7d
estimate_means - protect integers
Code
estimate_expectation(model, by = c("c160age=[fivenum]", "c161sex"))
Output
Model-based Predictions
c160age | c161sex | Predicted | SE | 95% CI
-----------------------------------------------------
44 | Male | 11.80 | 0.33 | [11.15, 12.45]
54 | Male | 11.65 | 0.31 | [11.04, 12.26]
63 | Male | 11.51 | 0.36 | [10.81, 12.21]
89 | Male | 11.11 | 0.66 | [ 9.81, 12.41]
18 | Female | 11.42 | 0.50 | [10.44, 12.40]
44 | Female | 11.92 | 0.26 | [11.41, 12.44]
54 | Female | 12.12 | 0.22 | [11.69, 12.55]
63 | Female | 12.29 | 0.23 | [11.84, 12.74]
Variable predicted: neg_c_7
Predictors modulated: c160age=[fivenum], c161sex
Predictors controlled: barthtot (65), e16sex (male)
Code
estimate_means(model, by = c("c160age=[fivenum]", "c161sex"), backend = "marginaleffects")
Output
Estimated Marginal Means
c160age | c161sex | Mean | SE | 95% CI | t(865)
----------------------------------------------------------
18 | Male | 12.08 | 0.60 | [10.91, 13.26] | 20.22
44 | Male | 11.68 | 0.29 | [11.12, 12.24] | 40.98
54 | Male | 11.53 | 0.25 | [11.03, 12.02] | 45.75
63 | Male | 11.39 | 0.30 | [10.80, 11.97] | 38.07
89 | Male | 10.99 | 0.62 | [ 9.76, 12.21] | 17.64
18 | Female | 11.30 | 0.44 | [10.44, 12.17] | 25.63
44 | Female | 11.80 | 0.18 | [11.44, 12.17] | 63.99
54 | Female | 12.00 | 0.14 | [11.72, 12.28] | 84.30
63 | Female | 12.17 | 0.18 | [11.83, 12.52] | 69.56
89 | Female | 12.68 | 0.43 | [11.84, 13.51] | 29.74
Variable predicted: neg_c_7
Predictors modulated: c160age=[fivenum], c161sex
Predictors averaged: barthtot (65), e16sex
easystats/estimate documentation built on April 5, 2025, 1:36 p.m.
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estimate_slopes - print summary
Code
estimate_slopes(model_lm, trend = "x", by = "x", backend = "emmeans")
Output
Estimated Marginal Effects
x | Slope | SE | 95% CI | t(998) | p
-------------------------------------------------------
-3.38 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-2.64 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-1.90 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-1.16 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-0.42 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
0.32 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
1.06 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
1.80 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
2.54 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
3.28 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
Marginal effects estimated for x
Code
summary(deriv)
Message
There might be too few data to accurately determine intervals. Consider
setting `length = 100` (or larger) in your call to `estimate_slopes()`.
Output
Johnson-Neymann Intervals
Start | End | Direction | Confidence
--------------------------------------
-3.38 | 3.28 | positive | Significant
Marginal effects estimated for x
Code
estimate_slopes(model_lm, trend = "x", by = "x", backend = "marginaleffects")
Output
Estimated Marginal Effects
x | Slope | SE | 95% CI | t | p
------------------------------------------------------
-3.38 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-2.64 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-1.90 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
-1.16 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
-0.42 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
0.32 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
1.06 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
1.80 | 12.75 | 0.25 | [12.26, 13.24] | 50.98 | < .001
2.54 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
3.28 | 12.75 | 0.25 | [12.26, 13.24] | 50.97 | < .001
Marginal effects estimated for x
Type of slope was dY/dX
Code
summary(deriv2)
Message
There might be too few data to accurately determine intervals. Consider
setting `length = 100` (or larger) in your call to `estimate_slopes()`.
Output
Johnson-Neymann Intervals
Start | End | Direction | Confidence
--------------------------------------
-3.38 | 3.28 | positive | Significant
Marginal effects estimated for x
Type of slope was dY/dX
estimate_slopes - print regular
Code
print(estimate_slopes(model, trend = "Petal.Length", backend = "emmeans"))
Output
Estimated Marginal Effects
Slope | SE | 95% CI | t(144) | p
---------------------------------------------
0.79 | 0.10 | [0.59, 0.99] | 7.69 | < .001
Marginal effects estimated for Petal.Length
Code
print(estimate_slopes(model, trend = "Petal.Length", backend = "marginaleffects"))
Output
Estimated Marginal Effects
Slope | SE | 95% CI | t | p
-------------------------------------------
0.79 | 0.10 | [0.59, 0.99] | 7.69 | < .001
Marginal effects estimated for Petal.Length
Type of slope was dY/dX
estimate_means - print multiple by's
Code
print(estimate_means(fit, c("c12hour", "c172code", "c161sex"), length = 4,
backend = "marginaleffects"), table_width = Inf)
Output
Estimated Marginal Means
c12hour | c172code | c161sex | Mean | SE | 95% CI | t(791)
--------------------------------------------------------------------------------------------
4.00 | low level of education | Male | 11.66 | 0.90 | [ 9.90, 13.42] | 12.99
58.67 | low level of education | Male | 10.93 | 1.01 | [ 8.95, 12.91] | 10.86
113.33 | low level of education | Male | 10.20 | 2.31 | [ 5.66, 14.74] | 4.41
168.00 | low level of education | Male | 9.47 | 3.72 | [ 2.17, 16.77] | 2.55
4.00 | intermediate level of education | Male | 11.47 | 0.48 | [10.54, 12.41] | 24.12
58.67 | intermediate level of education | Male | 12.52 | 0.69 | [11.16, 13.87] | 18.12
113.33 | intermediate level of education | Male | 13.56 | 1.46 | [10.70, 16.42] | 9.31
168.00 | intermediate level of education | Male | 14.61 | 2.27 | [10.15, 19.07] | 6.43
4.00 | high level of education | Male | 11.03 | 0.63 | [ 9.79, 12.27] | 17.41
58.67 | high level of education | Male | 11.83 | 0.75 | [10.36, 13.30] | 15.78
113.33 | high level of education | Male | 12.63 | 1.42 | [ 9.84, 15.42] | 8.90
168.00 | high level of education | Male | 13.43 | 2.18 | [ 9.14, 17.71] | 6.15
4.00 | low level of education | Female | 12.24 | 0.41 | [11.43, 13.05] | 29.60
58.67 | low level of education | Female | 11.94 | 0.34 | [11.28, 12.60] | 35.50
113.33 | low level of education | Female | 11.65 | 0.54 | [10.59, 12.71] | 21.54
168.00 | low level of education | Female | 11.36 | 0.84 | [ 9.70, 13.01] | 13.49
4.00 | intermediate level of education | Female | 11.34 | 0.24 | [10.87, 11.81] | 47.06
58.67 | intermediate level of education | Female | 12.24 | 0.22 | [11.80, 12.67] | 54.82
113.33 | intermediate level of education | Female | 13.13 | 0.40 | [12.35, 13.91] | 33.09
168.00 | intermediate level of education | Female | 14.03 | 0.62 | [12.82, 15.24] | 22.72
4.00 | high level of education | Female | 12.49 | 0.45 | [11.61, 13.38] | 27.68
58.67 | high level of education | Female | 12.90 | 0.48 | [11.96, 13.84] | 26.99
113.33 | high level of education | Female | 13.31 | 0.97 | [11.40, 15.21] | 13.72
168.00 | high level of education | Female | 13.71 | 1.53 | [10.71, 16.71] | 8.97
Variable predicted: neg_c_7
Predictors modulated: c12hour, c172code, c161sex
Predictors averaged: barthtot (65)
Code
print(estimate_means(fit, c("c12hour", "barthtot = [sd]", "c161sex", "c172code",
"e16sex"), backend = "marginaleffects", length = 3), table_width = Inf)
Output
Estimated Marginal Means
c12hour | barthtot | c161sex | c172code | e16sex | Mean | SE | 95% CI | t(766)
-------------------------------------------------------------------------------------------------------------------
4 | 35.12 | Male | low level of education | male | 9.74 | 4.63 | [ 0.66, 18.83] | 2.10
86 | 35.12 | Male | low level of education | male | 21.80 | 21.63 | [-20.65, 64.25] | 1.01
168 | 35.12 | Male | low level of education | male | 33.86 | 47.25 | [-58.90, 126.61] | 0.72
4 | 64.73 | Male | low level of education | male | 9.39 | 1.90 | [ 5.67, 13.11] | 4.95
86 | 64.73 | Male | low level of education | male | 11.99 | 5.40 | [ 1.39, 22.59] | 2.22
168 | 64.73 | Male | low level of education | male | 14.59 | 12.26 | [ -9.47, 38.66] | 1.19
4 | 94.34 | Male | low level of education | male | 9.03 | 2.38 | [ 4.36, 13.71] | 3.79
86 | 94.34 | Male | low level of education | male | 2.18 | 16.20 | [-29.62, 33.98] | 0.13
168 | 94.34 | Male | low level of education | male | -4.67 | 34.35 | [-72.09, 62.75] | -0.14
4 | 35.12 | Female | low level of education | male | 14.36 | 0.86 | [ 12.67, 16.05] | 16.71
86 | 35.12 | Female | low level of education | male | 13.13 | 0.54 | [ 12.07, 14.18] | 24.50
168 | 35.12 | Female | low level of education | male | 11.89 | 1.03 | [ 9.87, 13.91] | 11.58
4 | 64.73 | Female | low level of education | male | 11.84 | 0.62 | [ 10.62, 13.07] | 18.99
86 | 64.73 | Female | low level of education | male | 11.56 | 0.55 | [ 10.47, 12.64] | 20.92
168 | 64.73 | Female | low level of education | male | 11.27 | 1.06 | [ 9.19, 13.35] | 10.62
4 | 94.34 | Female | low level of education | male | 9.32 | 0.93 | [ 7.50, 11.15] | 10.05
86 | 94.34 | Female | low level of education | male | 9.99 | 0.87 | [ 8.29, 11.69] | 11.52
168 | 94.34 | Female | low level of education | male | 10.65 | 1.62 | [ 7.47, 13.82] | 6.58
4 | 35.12 | Male | intermediate level of education | male | 22.45 | 3.74 | [ 15.10, 29.80] | 6.00
86 | 35.12 | Male | intermediate level of education | male | 7.37 | 6.96 | [ -6.30, 21.03] | 1.06
168 | 35.12 | Male | intermediate level of education | male | -7.72 | 17.20 | [-41.47, 26.04] | -0.45
4 | 64.73 | Male | intermediate level of education | male | 15.45 | 1.82 | [ 11.87, 19.03] | 8.47
86 | 64.73 | Male | intermediate level of education | male | 14.82 | 5.47 | [ 4.08, 25.56] | 2.71
168 | 64.73 | Male | intermediate level of education | male | 14.19 | 12.22 | [ -9.81, 38.18] | 1.16
4 | 94.34 | Male | intermediate level of education | male | 8.45 | 1.17 | [ 6.16, 10.74] | 7.23
86 | 94.34 | Male | intermediate level of education | male | 22.27 | 7.76 | [ 7.05, 37.50] | 2.87
168 | 94.34 | Male | intermediate level of education | male | 36.09 | 16.29 | [ 4.11, 68.07] | 2.22
4 | 35.12 | Female | intermediate level of education | male | 12.96 | 0.79 | [ 11.40, 14.52] | 16.34
86 | 35.12 | Female | intermediate level of education | male | 14.46 | 0.47 | [ 13.55, 15.38] | 31.06
168 | 35.12 | Female | intermediate level of education | male | 15.97 | 0.67 | [ 14.66, 17.27] | 24.00
4 | 64.73 | Female | intermediate level of education | male | 11.48 | 0.45 | [ 10.59, 12.38] | 25.25
86 | 64.73 | Female | intermediate level of education | male | 13.22 | 0.44 | [ 12.37, 14.08] | 30.36
168 | 64.73 | Female | intermediate level of education | male | 14.96 | 0.85 | [ 13.28, 16.64] | 17.53
4 | 94.34 | Female | intermediate level of education | male | 10.01 | 0.54 | [ 8.95, 11.07] | 18.59
86 | 94.34 | Female | intermediate level of education | male | 11.98 | 0.66 | [ 10.69, 13.27] | 18.22
168 | 94.34 | Female | intermediate level of education | male | 13.95 | 1.32 | [ 11.37, 16.54] | 10.60
4 | 35.12 | Male | high level of education | male | 11.88 | 2.02 | [ 7.91, 15.85] | 5.88
86 | 35.12 | Male | high level of education | male | 13.93 | 1.48 | [ 11.03, 16.83] | 9.44
168 | 35.12 | Male | high level of education | male | 15.97 | 2.48 | [ 11.10, 20.84] | 6.44
4 | 64.73 | Male | high level of education | male | 11.45 | 1.19 | [ 9.11, 13.79] | 9.62
86 | 64.73 | Male | high level of education | male | 12.48 | 2.02 | [ 8.53, 16.44] | 6.19
168 | 64.73 | Male | high level of education | male | 13.52 | 4.09 | [ 5.49, 21.55] | 3.30
4 | 94.34 | Male | high level of education | male | 11.02 | 1.56 | [ 7.95, 14.09] | 7.05
86 | 94.34 | Male | high level of education | male | 11.04 | 3.23 | [ 4.70, 17.38] | 3.42
168 | 94.34 | Male | high level of education | male | 11.06 | 6.59 | [ -1.88, 24.00] | 1.68
4 | 35.12 | Female | high level of education | male | 15.92 | 1.51 | [ 12.96, 18.88] | 10.55
86 | 35.12 | Female | high level of education | male | 14.36 | 1.08 | [ 12.23, 16.49] | 13.26
168 | 35.12 | Female | high level of education | male | 12.80 | 2.20 | [ 8.48, 17.12] | 5.82
4 | 64.73 | Female | high level of education | male | 13.02 | 0.88 | [ 11.29, 14.75] | 14.78
86 | 64.73 | Female | high level of education | male | 12.35 | 1.20 | [ 9.98, 14.71] | 10.25
168 | 64.73 | Female | high level of education | male | 11.67 | 2.63 | [ 6.50, 16.84] | 4.43
4 | 94.34 | Female | high level of education | male | 10.13 | 1.09 | [ 7.99, 12.27] | 9.29
86 | 94.34 | Female | high level of education | male | 10.33 | 1.88 | [ 6.65, 14.01] | 5.51
168 | 94.34 | Female | high level of education | male | 10.53 | 3.97 | [ 2.73, 18.33] | 2.65
4 | 35.12 | Male | low level of education | female | 16.94 | 2.25 | [ 12.52, 21.35] | 7.53
86 | 35.12 | Male | low level of education | female | 13.60 | 1.19 | [ 11.26, 15.95] | 11.39
168 | 35.12 | Male | low level of education | female | 10.27 | 2.16 | [ 6.03, 14.50] | 4.76
4 | 64.73 | Male | low level of education | female | 13.01 | 1.16 | [ 10.73, 15.29] | 11.20
86 | 64.73 | Male | low level of education | female | 10.57 | 1.77 | [ 7.10, 14.04] | 5.98
168 | 64.73 | Male | low level of education | female | 8.13 | 4.09 | [ 0.10, 16.17] | 1.99
4 | 94.34 | Male | low level of education | female | 9.08 | 1.81 | [ 5.52, 12.65] | 5.01
86 | 94.34 | Male | low level of education | female | 7.54 | 2.93 | [ 1.80, 13.29] | 2.58
168 | 94.34 | Male | low level of education | female | 6.00 | 6.44 | [ -6.64, 18.64] | 0.93
4 | 35.12 | Female | low level of education | female | 15.68 | 0.97 | [ 13.78, 17.58] | 16.19
86 | 35.12 | Female | low level of education | female | 14.22 | 0.59 | [ 13.06, 15.39] | 23.91
168 | 35.12 | Female | low level of education | female | 12.77 | 1.09 | [ 10.63, 14.90] | 11.74
4 | 64.73 | Female | low level of education | female | 12.73 | 0.58 | [ 11.60, 13.87] | 21.99
86 | 64.73 | Female | low level of education | female | 11.97 | 0.66 | [ 10.67, 13.26] | 18.09
168 | 64.73 | Female | low level of education | female | 11.20 | 1.39 | [ 8.48, 13.92] | 8.07
4 | 94.34 | Female | low level of education | female | 9.79 | 0.70 | [ 8.40, 11.17] | 13.90
86 | 94.34 | Female | low level of education | female | 9.71 | 1.07 | [ 7.60, 11.81] | 9.05
168 | 94.34 | Female | low level of education | female | 9.63 | 2.25 | [ 5.21, 14.05] | 4.28
4 | 35.12 | Male | intermediate level of education | female | 12.23 | 0.91 | [ 10.45, 14.01] | 13.48
86 | 35.12 | Male | intermediate level of education | female | 12.65 | 0.66 | [ 11.35, 13.95] | 19.13
168 | 35.12 | Male | intermediate level of education | female | 13.08 | 1.23 | [ 10.67, 15.49] | 10.66
4 | 64.73 | Male | intermediate level of education | female | 10.72 | 0.55 | [ 9.64, 11.79] | 19.58
86 | 64.73 | Male | intermediate level of education | female | 12.65 | 1.08 | [ 10.53, 14.77] | 11.70
168 | 64.73 | Male | intermediate level of education | female | 14.59 | 2.32 | [ 10.03, 19.15] | 6.28
4 | 94.34 | Male | intermediate level of education | female | 9.21 | 0.62 | [ 7.99, 10.42] | 14.89
86 | 94.34 | Male | intermediate level of education | female | 12.65 | 1.77 | [ 9.18, 16.12] | 7.16
168 | 94.34 | Male | intermediate level of education | female | 16.10 | 3.71 | [ 8.81, 23.39] | 4.34
4 | 35.12 | Female | intermediate level of education | female | 12.91 | 0.47 | [ 11.99, 13.84] | 27.33
86 | 35.12 | Female | intermediate level of education | female | 13.14 | 0.33 | [ 12.49, 13.79] | 39.53
168 | 35.12 | Female | intermediate level of education | female | 13.37 | 0.64 | [ 12.12, 14.62] | 20.93
4 | 64.73 | Female | intermediate level of education | female | 11.38 | 0.29 | [ 10.83, 11.94] | 39.94
86 | 64.73 | Female | intermediate level of education | female | 12.28 | 0.42 | [ 11.45, 13.10] | 29.25
168 | 64.73 | Female | intermediate level of education | female | 13.17 | 0.88 | [ 11.43, 14.91] | 14.88
4 | 94.34 | Female | intermediate level of education | female | 9.86 | 0.34 | [ 9.18, 10.53] | 28.57
86 | 94.34 | Female | intermediate level of education | female | 11.41 | 0.67 | [ 10.10, 12.72] | 17.11
168 | 94.34 | Female | intermediate level of education | female | 12.97 | 1.40 | [ 10.22, 15.72] | 9.26
4 | 35.12 | Male | high level of education | female | 10.93 | 1.13 | [ 8.72, 13.14] | 9.71
86 | 35.12 | Male | high level of education | female | 12.15 | 0.88 | [ 10.42, 13.87] | 13.84
168 | 35.12 | Male | high level of education | female | 13.36 | 1.55 | [ 10.32, 16.41] | 8.62
4 | 64.73 | Male | high level of education | female | 10.86 | 0.75 | [ 9.40, 12.33] | 14.57
86 | 64.73 | Male | high level of education | female | 12.26 | 1.24 | [ 9.82, 14.70] | 9.88
168 | 64.73 | Male | high level of education | female | 13.66 | 2.57 | [ 8.62, 18.70] | 5.32
4 | 94.34 | Male | high level of education | female | 10.79 | 1.01 | [ 8.80, 12.78] | 10.65
86 | 94.34 | Male | high level of education | female | 12.38 | 2.09 | [ 8.28, 16.47] | 5.93
168 | 94.34 | Male | high level of education | female | 13.96 | 4.30 | [ 5.51, 22.41] | 3.24
4 | 35.12 | Female | high level of education | female | 13.86 | 0.91 | [ 12.06, 15.65] | 15.18
86 | 35.12 | Female | high level of education | female | 15.00 | 0.75 | [ 13.52, 16.48] | 19.90
168 | 35.12 | Female | high level of education | female | 16.15 | 1.55 | [ 13.11, 19.19] | 10.43
4 | 64.73 | Female | high level of education | female | 12.31 | 0.52 | [ 11.29, 13.34] | 23.59
86 | 64.73 | Female | high level of education | female | 13.54 | 0.86 | [ 11.84, 15.24] | 15.67
168 | 64.73 | Female | high level of education | female | 14.76 | 1.86 | [ 11.10, 18.42] | 7.92
4 | 94.34 | Female | high level of education | female | 10.77 | 0.73 | [ 9.34, 12.20] | 14.77
86 | 94.34 | Female | high level of education | female | 12.07 | 1.35 | [ 9.42, 14.73] | 8.91
168 | 94.34 | Female | high level of education | female | 13.38 | 2.80 | [ 7.87, 18.88] | 4.77
Variable predicted: neg_c_7
Predictors modulated: c12hour, barthtot = [sd], c161sex, c172code, e16sex
estimate_means - full labels
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst"),
backend = "marginaleffects"), table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | Mean | SE | 95% CI | t(402)
---------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 10.00 | 2.59 | [ 4.90, 15.10] | 3.85
Female | low level of education | male | Care Level 1 | 13.75 | 1.06 | [ 11.67, 15.83] | 12.98
Male | intermediate level of education | male | Care Level 1 | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | intermediate level of education | male | Care Level 1 | 10.55 | 0.78 | [ 9.01, 12.08] | 13.48
Male | high level of education | male | Care Level 1 | 14.25 | 1.83 | [ 10.64, 17.86] | 7.77
Female | high level of education | male | Care Level 1 | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Male | low level of education | female | Care Level 1 | 15.50 | 1.83 | [ 11.89, 19.11] | 8.45
Female | low level of education | female | Care Level 1 | 11.56 | 0.92 | [ 9.76, 13.37] | 12.60
Male | intermediate level of education | female | Care Level 1 | 10.16 | 0.84 | [ 8.50, 11.81] | 12.07
Female | intermediate level of education | female | Care Level 1 | 11.22 | 0.50 | [ 10.24, 12.20] | 22.47
Male | high level of education | female | Care Level 1 | 11.67 | 1.50 | [ 8.72, 14.61] | 7.79
Female | high level of education | female | Care Level 1 | 12.44 | 0.86 | [ 10.74, 14.14] | 14.39
Male | low level of education | male | Care Level 2 | 11.00 | 2.59 | [ 5.90, 16.10] | 4.24
Female | low level of education | male | Care Level 2 | 12.23 | 1.02 | [ 10.23, 14.23] | 12.02
Male | intermediate level of education | male | Care Level 2 | 13.25 | 1.30 | [ 10.70, 15.80] | 10.21
Female | intermediate level of education | male | Care Level 2 | 13.00 | 0.68 | [ 11.66, 14.34] | 19.08
Male | high level of education | male | Care Level 2 | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Female | high level of education | male | Care Level 2 | 12.78 | 1.22 | [ 10.37, 15.18] | 10.45
Male | low level of education | female | Care Level 2 | 13.75 | 1.83 | [ 10.14, 17.36] | 7.49
Female | low level of education | female | Care Level 2 | 11.17 | 1.06 | [ 9.08, 13.25] | 10.54
Male | intermediate level of education | female | Care Level 2 | 11.17 | 0.86 | [ 9.47, 12.87] | 12.91
Female | intermediate level of education | female | Care Level 2 | 11.60 | 0.50 | [ 10.61, 12.59] | 23.02
Male | high level of education | female | Care Level 2 | 11.20 | 1.16 | [ 8.92, 13.48] | 9.65
Female | high level of education | female | Care Level 2 | 14.56 | 0.92 | [ 12.76, 16.37] | 15.87
Male | low level of education | male | Care Level 3/3+ | -13.53 | 7.92 | [-29.10, 2.04] | -1.71
Female | low level of education | male | Care Level 3/3+ | 12.09 | 1.11 | [ 9.92, 14.27] | 10.93
Male | intermediate level of education | male | Care Level 3/3+ | 13.57 | 1.39 | [ 10.85, 16.30] | 9.79
Female | intermediate level of education | male | Care Level 3/3+ | 16.50 | 0.78 | [ 14.96, 18.04] | 21.09
Male | high level of education | male | Care Level 3/3+ | 8.00 | 3.67 | [ 0.79, 15.21] | 2.18
Female | high level of education | male | Care Level 3/3+ | 16.33 | 2.12 | [ 12.17, 20.50] | 7.71
Male | low level of education | female | Care Level 3/3+ | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | low level of education | female | Care Level 3/3+ | 15.00 | 1.39 | [ 12.27, 17.73] | 10.82
Male | intermediate level of education | female | Care Level 3/3+ | 11.54 | 1.02 | [ 9.54, 13.54] | 11.34
Female | intermediate level of education | female | Care Level 3/3+ | 13.35 | 0.77 | [ 11.84, 14.85] | 17.45
Male | high level of education | female | Care Level 3/3+ | 13.00 | 1.83 | [ 9.39, 16.61] | 7.09
Female | high level of education | female | Care Level 3/3+ | 11.43 | 1.39 | [ 8.70, 14.15] | 8.24
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst"),
backend = "marginaleffects"), full_labels = FALSE, table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | Mean | SE | 95% CI | t(402)
---------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 10.00 | 2.59 | [ 4.90, 15.10] | 3.85
Female | | | | 13.75 | 1.06 | [ 11.67, 15.83] | 12.98
Male | intermediate level of education | | | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | | | | 10.55 | 0.78 | [ 9.01, 12.08] | 13.48
Male | high level of education | | | 14.25 | 1.83 | [ 10.64, 17.86] | 7.77
Female | | | | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Male | low level of education | female | | 15.50 | 1.83 | [ 11.89, 19.11] | 8.45
Female | | | | 11.56 | 0.92 | [ 9.76, 13.37] | 12.60
Male | intermediate level of education | | | 10.16 | 0.84 | [ 8.50, 11.81] | 12.07
Female | | | | 11.22 | 0.50 | [ 10.24, 12.20] | 22.47
Male | high level of education | | | 11.67 | 1.50 | [ 8.72, 14.61] | 7.79
Female | | | | 12.44 | 0.86 | [ 10.74, 14.14] | 14.39
Male | low level of education | male | Care Level 2 | 11.00 | 2.59 | [ 5.90, 16.10] | 4.24
Female | | | | 12.23 | 1.02 | [ 10.23, 14.23] | 12.02
Male | intermediate level of education | | | 13.25 | 1.30 | [ 10.70, 15.80] | 10.21
Female | | | | 13.00 | 0.68 | [ 11.66, 14.34] | 19.08
Male | high level of education | | | 10.00 | 3.67 | [ 2.79, 17.21] | 2.73
Female | | | | 12.78 | 1.22 | [ 10.37, 15.18] | 10.45
Male | low level of education | female | | 13.75 | 1.83 | [ 10.14, 17.36] | 7.49
Female | | | | 11.17 | 1.06 | [ 9.08, 13.25] | 10.54
Male | intermediate level of education | | | 11.17 | 0.86 | [ 9.47, 12.87] | 12.91
Female | | | | 11.60 | 0.50 | [ 10.61, 12.59] | 23.02
Male | high level of education | | | 11.20 | 1.16 | [ 8.92, 13.48] | 9.65
Female | | | | 14.56 | 0.92 | [ 12.76, 16.37] | 15.87
Male | low level of education | male | Care Level 3/3+ | -13.53 | 7.92 | [-29.10, 2.04] | -1.71
Female | | | | 12.09 | 1.11 | [ 9.92, 14.27] | 10.93
Male | intermediate level of education | | | 13.57 | 1.39 | [ 10.85, 16.30] | 9.79
Female | | | | 16.50 | 0.78 | [ 14.96, 18.04] | 21.09
Male | high level of education | | | 8.00 | 3.67 | [ 0.79, 15.21] | 2.18
Female | | | | 16.33 | 2.12 | [ 12.17, 20.50] | 7.71
Male | low level of education | female | | 12.00 | 2.12 | [ 7.84, 16.16] | 5.66
Female | | | | 15.00 | 1.39 | [ 12.27, 17.73] | 10.82
Male | intermediate level of education | | | 11.54 | 1.02 | [ 9.54, 13.54] | 11.34
Female | | | | 13.35 | 0.77 | [ 11.84, 14.85] | 17.45
Male | high level of education | | | 13.00 | 1.83 | [ 9.39, 16.61] | 7.09
Female | | | | 11.43 | 1.39 | [ 8.70, 14.15] | 8.24
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst",
"negc7d"), backend = "marginaleffects"), table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | negc7d | Mean | SE | 95% CI | t(370)
-----------------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | low level of education | male | Care Level 1 | 0 | 10.00 | 1.02 | [ 7.99, 12.01] | 9.80
Male | intermediate level of education | male | Care Level 1 | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | intermediate level of education | male | Care Level 1 | 0 | 9.13 | 0.59 | [ 7.97, 10.29] | 15.50
Male | high level of education | male | Care Level 1 | 0 | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | high level of education | male | Care Level 1 | 0 | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Male | low level of education | female | Care Level 1 | 0 | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Female | low level of education | female | Care Level 1 | 0 | 8.89 | 0.76 | [ 7.39, 10.38] | 11.69
Male | intermediate level of education | female | Care Level 1 | 0 | 9.21 | 0.61 | [ 8.02, 10.41] | 15.11
Female | intermediate level of education | female | Care Level 1 | 0 | 9.47 | 0.40 | [ 8.68, 10.26] | 23.48
Male | high level of education | female | Care Level 1 | 0 | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Female | high level of education | female | Care Level 1 | 0 | 8.71 | 0.86 | [ 7.02, 10.41] | 10.11
Male | low level of education | male | Care Level 2 | 0 | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | low level of education | male | Care Level 2 | 0 | 9.50 | 0.93 | [ 7.67, 11.33] | 10.20
Male | intermediate level of education | male | Care Level 2 | 0 | 8.75 | 1.14 | [ 6.51, 10.99] | 7.67
Female | intermediate level of education | male | Care Level 2 | 0 | 9.30 | 0.72 | [ 7.88, 10.72] | 12.89
Male | high level of education | male | Care Level 2 | 0 | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Female | high level of education | male | Care Level 2 | 0 | 9.00 | 1.14 | [ 6.76, 11.24] | 7.89
Male | low level of education | female | Care Level 2 | 0 | 10.50 | 1.61 | [ 7.33, 13.67] | 6.51
Female | low level of education | female | Care Level 2 | 0 | 9.17 | 0.93 | [ 7.34, 11.00] | 9.84
Male | intermediate level of education | female | Care Level 2 | 0 | 8.50 | 0.66 | [ 7.20, 9.80] | 12.91
Female | intermediate level of education | female | Care Level 2 | 0 | 9.30 | 0.42 | [ 8.48, 10.12] | 22.33
Male | high level of education | female | Care Level 2 | 0 | 9.43 | 0.86 | [ 7.73, 11.12] | 10.93
Female | high level of education | female | Care Level 2 | 0 | 8.00 | 1.61 | [ 4.83, 11.17] | 4.96
Male | low level of education | male | Care Level 3/3+ | 0 | 3.67 | 6.95 | [-10.00, 17.35] | 0.53
Female | low level of education | male | Care Level 3/3+ | 0 | 9.67 | 1.32 | [ 7.08, 12.26] | 7.34
Male | intermediate level of education | male | Care Level 3/3+ | 0 | 9.75 | 1.14 | [ 7.51, 11.99] | 8.55
Female | intermediate level of education | male | Care Level 3/3+ | 0 | 9.50 | 1.14 | [ 7.26, 11.74] | 8.33
Male | high level of education | male | Care Level 3/3+ | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | high level of education | male | Care Level 3/3+ | 0 | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Male | low level of education | female | Care Level 3/3+ | 0 | 8.50 | 1.61 | [ 5.33, 11.67] | 5.27
Female | low level of education | female | Care Level 3/3+ | 0 | 8.67 | 1.32 | [ 6.08, 11.26] | 6.58
Male | intermediate level of education | female | Care Level 3/3+ | 0 | 9.13 | 0.81 | [ 7.54, 10.71] | 11.31
Female | intermediate level of education | female | Care Level 3/3+ | 0 | 9.78 | 0.76 | [ 8.28, 11.27] | 12.86
Male | high level of education | female | Care Level 3/3+ | 0 | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | high level of education | female | Care Level 3/3+ | 0 | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Male | low level of education | male | Care Level 1 | 1 | 12.00 | 2.28 | [ 7.51, 16.49] | 5.26
Female | low level of education | male | Care Level 1 | 1 | 16.43 | 0.86 | [ 14.73, 18.12] | 19.05
Male | intermediate level of education | male | Care Level 1 | 1 | 14.00 | 1.61 | [ 10.83, 17.17] | 8.68
Female | intermediate level of education | male | Care Level 1 | 1 | 13.57 | 0.86 | [ 11.88, 15.27] | 15.74
Male | high level of education | male | Care Level 1 | 1 | 16.00 | 1.32 | [ 13.41, 18.59] | 12.15
Female | high level of education | male | Care Level 1 | 1 | 27.92 | 5.08 | [ 17.93, 37.91] | 5.50
Male | low level of education | female | Care Level 1 | 1 | 17.00 | 1.32 | [ 14.41, 19.59] | 12.91
Female | low level of education | female | Care Level 1 | 1 | 15.00 | 0.86 | [ 13.30, 16.70] | 17.40
Male | intermediate level of education | female | Care Level 1 | 1 | 12.80 | 1.02 | [ 10.79, 14.81] | 12.55
Female | intermediate level of education | female | Care Level 1 | 1 | 13.77 | 0.49 | [ 12.82, 14.73] | 28.32
Male | high level of education | female | Care Level 1 | 1 | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | high level of education | female | Care Level 1 | 1 | 14.82 | 0.69 | [ 13.47, 16.17] | 21.54
Male | low level of education | male | Care Level 2 | 1 | 13.00 | 2.28 | [ 8.51, 17.49] | 5.70
Female | low level of education | male | Care Level 2 | 1 | 14.57 | 0.86 | [ 12.88, 16.27] | 16.90
Male | intermediate level of education | male | Care Level 2 | 1 | 17.75 | 1.14 | [ 15.51, 19.99] | 15.56
Female | intermediate level of education | male | Care Level 2 | 1 | 14.95 | 0.52 | [ 13.92, 15.98] | 28.56
Male | high level of education | male | Care Level 2 | 1 | 3.80 | 8.72 | [-13.34, 20.94] | 0.44
Female | high level of education | male | Care Level 2 | 1 | 15.80 | 1.02 | [ 13.79, 17.81] | 15.49
Male | low level of education | female | Care Level 2 | 1 | 17.00 | 1.61 | [ 13.83, 20.17] | 10.54
Female | low level of education | female | Care Level 2 | 1 | 13.17 | 0.93 | [ 11.34, 15.00] | 14.14
Male | intermediate level of education | female | Care Level 2 | 1 | 16.50 | 0.93 | [ 14.67, 18.33] | 17.72
Female | intermediate level of education | female | Care Level 2 | 1 | 14.61 | 0.48 | [ 13.67, 15.54] | 30.71
Male | high level of education | female | Care Level 2 | 1 | 15.33 | 1.32 | [ 12.74, 17.92] | 11.64
Female | high level of education | female | Care Level 2 | 1 | 15.50 | 0.61 | [ 14.30, 16.70] | 25.42
Male | low level of education | male | Care Level 3/3+ | 1 | 1.78 | 7.99 | [-13.93, 17.48] | 0.22
Female | low level of education | male | Care Level 3/3+ | 1 | 13.00 | 0.81 | [ 11.41, 14.59] | 16.12
Male | intermediate level of education | male | Care Level 3/3+ | 1 | 18.67 | 1.32 | [ 16.08, 21.26] | 14.17
Female | intermediate level of education | male | Care Level 3/3+ | 1 | 18.06 | 0.54 | [ 17.00, 19.11] | 33.58
Male | high level of education | male | Care Level 3/3+ | 1 | 4.60 | 7.00 | [ -9.17, 18.38] | 0.66
Female | high level of education | male | Care Level 3/3+ | 1 | 19.00 | 1.61 | [ 15.83, 22.17] | 11.78
Male | low level of education | female | Care Level 3/3+ | 1 | 19.00 | 2.28 | [ 14.51, 23.49] | 8.33
Female | low level of education | female | Care Level 3/3+ | 1 | 19.75 | 1.14 | [ 17.51, 21.99] | 17.31
Male | intermediate level of education | female | Care Level 3/3+ | 1 | 15.40 | 1.02 | [ 13.39, 17.41] | 15.09
Female | intermediate level of education | female | Care Level 3/3+ | 1 | 15.64 | 0.61 | [ 14.44, 16.84] | 25.65
Male | high level of education | female | Care Level 3/3+ | 1 | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | high level of education | female | Care Level 3/3+ | 1 | 13.25 | 1.14 | [ 11.01, 15.49] | 11.62
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst, negc7d
Code
print(estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst",
"negc7d"), backend = "marginaleffects"), full_labels = FALSE, table_width = Inf)
Output
Estimated Marginal Means
c161sex | c172code | e16sex | nur_pst | negc7d | Mean | SE | 95% CI | t(370)
-----------------------------------------------------------------------------------------------------------------------
Male | low level of education | male | Care Level 1 | 0 | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | | | | | 10.00 | 1.02 | [ 7.99, 12.01] | 9.80
Male | intermediate level of education | | | | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | | | | | 9.13 | 0.59 | [ 7.97, 10.29] | 15.50
Male | high level of education | | | | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | | | | | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Male | low level of education | female | | | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Female | | | | | 8.89 | 0.76 | [ 7.39, 10.38] | 11.69
Male | intermediate level of education | | | | 9.21 | 0.61 | [ 8.02, 10.41] | 15.11
Female | | | | | 9.47 | 0.40 | [ 8.68, 10.26] | 23.48
Male | high level of education | | | | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Female | | | | | 8.71 | 0.86 | [ 7.02, 10.41] | 10.11
Male | low level of education | male | Care Level 2 | | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | | | | | 9.50 | 0.93 | [ 7.67, 11.33] | 10.20
Male | intermediate level of education | | | | 8.75 | 1.14 | [ 6.51, 10.99] | 7.67
Female | | | | | 9.30 | 0.72 | [ 7.88, 10.72] | 12.89
Male | high level of education | | | | 10.00 | 2.28 | [ 5.51, 14.49] | 4.38
Female | | | | | 9.00 | 1.14 | [ 6.76, 11.24] | 7.89
Male | low level of education | female | | | 10.50 | 1.61 | [ 7.33, 13.67] | 6.51
Female | | | | | 9.17 | 0.93 | [ 7.34, 11.00] | 9.84
Male | intermediate level of education | | | | 8.50 | 0.66 | [ 7.20, 9.80] | 12.91
Female | | | | | 9.30 | 0.42 | [ 8.48, 10.12] | 22.33
Male | high level of education | | | | 9.43 | 0.86 | [ 7.73, 11.12] | 10.93
Female | | | | | 8.00 | 1.61 | [ 4.83, 11.17] | 4.96
Male | low level of education | male | Care Level 3/3+ | | 3.67 | 6.95 | [-10.00, 17.35] | 0.53
Female | | | | | 9.67 | 1.32 | [ 7.08, 12.26] | 7.34
Male | intermediate level of education | | | | 9.75 | 1.14 | [ 7.51, 11.99] | 8.55
Female | | | | | 9.50 | 1.14 | [ 7.26, 11.74] | 8.33
Male | high level of education | | | | 8.00 | 2.28 | [ 3.51, 12.49] | 3.51
Female | | | | | 11.00 | 2.28 | [ 6.51, 15.49] | 4.82
Male | low level of education | female | | | 8.50 | 1.61 | [ 5.33, 11.67] | 5.27
Female | | | | | 8.67 | 1.32 | [ 6.08, 11.26] | 6.58
Male | intermediate level of education | | | | 9.13 | 0.81 | [ 7.54, 10.71] | 11.31
Female | | | | | 9.78 | 0.76 | [ 8.28, 11.27] | 12.86
Male | high level of education | | | | 9.00 | 2.28 | [ 4.51, 13.49] | 3.94
Female | | | | | 9.00 | 1.32 | [ 6.41, 11.59] | 6.83
Male | low level of education | male | Care Level 1 | 1 | 12.00 | 2.28 | [ 7.51, 16.49] | 5.26
Female | | | | | 16.43 | 0.86 | [ 14.73, 18.12] | 19.05
Male | intermediate level of education | | | | 14.00 | 1.61 | [ 10.83, 17.17] | 8.68
Female | | | | | 13.57 | 0.86 | [ 11.88, 15.27] | 15.74
Male | high level of education | | | | 16.00 | 1.32 | [ 13.41, 18.59] | 12.15
Female | | | | | 27.92 | 5.08 | [ 17.93, 37.91] | 5.50
Male | low level of education | female | | | 17.00 | 1.32 | [ 14.41, 19.59] | 12.91
Female | | | | | 15.00 | 0.86 | [ 13.30, 16.70] | 17.40
Male | intermediate level of education | | | | 12.80 | 1.02 | [ 10.79, 14.81] | 12.55
Female | | | | | 13.77 | 0.49 | [ 12.82, 14.73] | 28.32
Male | high level of education | | | | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | | | | | 14.82 | 0.69 | [ 13.47, 16.17] | 21.54
Male | low level of education | male | Care Level 2 | | 13.00 | 2.28 | [ 8.51, 17.49] | 5.70
Female | | | | | 14.57 | 0.86 | [ 12.88, 16.27] | 16.90
Male | intermediate level of education | | | | 17.75 | 1.14 | [ 15.51, 19.99] | 15.56
Female | | | | | 14.95 | 0.52 | [ 13.92, 15.98] | 28.56
Male | high level of education | | | | 3.80 | 8.72 | [-13.34, 20.94] | 0.44
Female | | | | | 15.80 | 1.02 | [ 13.79, 17.81] | 15.49
Male | low level of education | female | | | 17.00 | 1.61 | [ 13.83, 20.17] | 10.54
Female | | | | | 13.17 | 0.93 | [ 11.34, 15.00] | 14.14
Male | intermediate level of education | | | | 16.50 | 0.93 | [ 14.67, 18.33] | 17.72
Female | | | | | 14.61 | 0.48 | [ 13.67, 15.54] | 30.71
Male | high level of education | | | | 15.33 | 1.32 | [ 12.74, 17.92] | 11.64
Female | | | | | 15.50 | 0.61 | [ 14.30, 16.70] | 25.42
Male | low level of education | male | Care Level 3/3+ | | 1.78 | 7.99 | [-13.93, 17.48] | 0.22
Female | | | | | 13.00 | 0.81 | [ 11.41, 14.59] | 16.12
Male | intermediate level of education | | | | 18.67 | 1.32 | [ 16.08, 21.26] | 14.17
Female | | | | | 18.06 | 0.54 | [ 17.00, 19.11] | 33.58
Male | high level of education | | | | 4.60 | 7.00 | [ -9.17, 18.38] | 0.66
Female | | | | | 19.00 | 1.61 | [ 15.83, 22.17] | 11.78
Male | low level of education | female | | | 19.00 | 2.28 | [ 14.51, 23.49] | 8.33
Female | | | | | 19.75 | 1.14 | [ 17.51, 21.99] | 17.31
Male | intermediate level of education | | | | 15.40 | 1.02 | [ 13.39, 17.41] | 15.09
Female | | | | | 15.64 | 0.61 | [ 14.44, 16.84] | 25.65
Male | high level of education | | | | 14.33 | 1.32 | [ 11.74, 16.92] | 10.88
Female | | | | | 13.25 | 1.14 | [ 11.01, 15.49] | 11.62
Variable predicted: neg_c_7
Predictors modulated: c161sex, c172code, e16sex, nur_pst, negc7d
estimate_means - protect integers
Code
estimate_expectation(model, by = c("c160age=[fivenum]", "c161sex"))
Output
Model-based Predictions
c160age | c161sex | Predicted | SE | 95% CI
-----------------------------------------------------
44 | Male | 11.80 | 0.33 | [11.15, 12.45]
54 | Male | 11.65 | 0.31 | [11.04, 12.26]
63 | Male | 11.51 | 0.36 | [10.81, 12.21]
89 | Male | 11.11 | 0.66 | [ 9.81, 12.41]
18 | Female | 11.42 | 0.50 | [10.44, 12.40]
44 | Female | 11.92 | 0.26 | [11.41, 12.44]
54 | Female | 12.12 | 0.22 | [11.69, 12.55]
63 | Female | 12.29 | 0.23 | [11.84, 12.74]
Variable predicted: neg_c_7
Predictors modulated: c160age=[fivenum], c161sex
Predictors controlled: barthtot (65), e16sex (male)
Code
estimate_means(model, by = c("c160age=[fivenum]", "c161sex"), backend = "marginaleffects")
Output
Estimated Marginal Means
c160age | c161sex | Mean | SE | 95% CI | t(865)
----------------------------------------------------------
18 | Male | 12.08 | 0.60 | [10.91, 13.26] | 20.22
44 | Male | 11.68 | 0.29 | [11.12, 12.24] | 40.98
54 | Male | 11.53 | 0.25 | [11.03, 12.02] | 45.75
63 | Male | 11.39 | 0.30 | [10.80, 11.97] | 38.07
89 | Male | 10.99 | 0.62 | [ 9.76, 12.21] | 17.64
18 | Female | 11.30 | 0.44 | [10.44, 12.17] | 25.63
44 | Female | 11.80 | 0.18 | [11.44, 12.17] | 63.99
54 | Female | 12.00 | 0.14 | [11.72, 12.28] | 84.30
63 | Female | 12.17 | 0.18 | [11.83, 12.52] | 69.56
89 | Female | 12.68 | 0.43 | [11.84, 13.51] | 29.74
Variable predicted: neg_c_7
Predictors modulated: c160age=[fivenum], c161sex
Predictors averaged: barthtot (65), e16sex
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