## [1] "bas8"
## Stratified by stim
## active control p test
## n 20 10
## lp3 (mean (SD)) 346.25 (23.06) 348.10 (14.89) 0.820
## ap3 (mean (SD)) 10.98 (3.48) 10.53 (2.25) 0.714
## rt (mean (SD)) 0.34 (0.04) 0.35 (0.04) 0.575
## [1] "on7"
## Stratified by stim
## active control p test
## n 20 10
## lp3 (mean (SD)) 321.55 (23.29) 342.20 (13.47) 0.015
## ap3 (mean (SD)) 15.60 (4.63) 10.79 (2.42) 0.005
## rt (mean (SD)) 0.30 (0.04) 0.35 (0.05) 0.018
## [1] "off14"
## Stratified by stim
## active control p test
## n 20 10
## lp3 (mean (SD)) 310.90 (24.16) 346.30 (13.25) <0.001
## ap3 (mean (SD)) 19.68 (5.31) 10.47 (2.26) <0.001
## rt (mean (SD)) 0.29 (0.04) 0.35 (0.04) 0.002
## [1] "off28"
## Stratified by stim
## active control p test
## n 20 10
## lp3 (mean (SD)) 325.95 (23.10) 347.40 (15.63) 0.013
## ap3 (mean (SD)) 16.40 (5.19) 10.33 (2.25) 0.002
## rt (mean (SD)) 0.31 (0.04) 0.35 (0.05) 0.026
## [1] "off42"
## Stratified by stim
## active control p test
## n 20 10
## lp3 (mean (SD)) 338.35 (24.06) 347.30 (15.11) 0.294
## ap3 (mean (SD)) 12.14 (4.14) 10.57 (2.20) 0.272
## rt (mean (SD)) 0.33 (0.04) 0.35 (0.04) 0.213
## [1] "off56"
## Stratified by stim
## active control p test
## n 20 10
## lp3 (mean (SD)) 341.05 (23.18) 346.80 (17.60) 0.496
## ap3 (mean (SD)) 11.04 (3.38) 10.50 (2.24) 0.652
## rt (mean (SD)) 0.34 (0.05) 0.35 (0.03) 0.424
AOV summary table, table of overall model information and table of means.Interaction graph. Brown-Forsythe test for homogeneity of variance
## Brown-Forsythe Test for Homogeneity of Variance using median
## Df F value Pr(>F)
## group 11 0.952 0.4924
## 168
##
## Shapiro-Wilk normality test
##
## data: MyAOV_residuals
## W = 0.96848, p-value = 0.0004286
## # A tibble: 4 × 4
## model bf support margin_of_error
## <chr> <dbl> <chr> <dbl>
## 1 stest + stim + stest:stim 523849. " data support is extreme" 1.08e- 2
## 2 stest + stim 208721. " data support is extreme" 1.32e- 2
## 3 stim 727. " data support is extreme" 7.08e-12
## 4 stest 101. " data support is extreme" 2.84e- 7
## Brown-Forsythe Test for Homogeneity of Variance using median
## Df F value Pr(>F)
## group 11 2.1628 0.01864 *
## 168
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Shapiro-Wilk normality test
##
## data: MyAOV_residuals
## W = 0.96032, p-value = 5.665e-05
## # A tibble: 4 × 4
## model bf support margin_of_error
## <chr> <dbl> <chr> <dbl>
## 1 stest + stim + stest:stim 7.26e12 " data support is extreme" 0.0112
## 2 stest + stim 8.66e 9 " data support is extreme" 0.0133
## 3 stim 2.60e 4 " data support is extreme" 0.00000000232
## 4 stest 2.38e 4 " data support is extreme" 0.0000362
## Brown-Forsythe Test for Homogeneity of Variance using median
## Df F value Pr(>F)
## group 11 0.1387 0.9995
## 168
##
## Shapiro-Wilk normality test
##
## data: MyAOV_residuals
## W = 0.93843, p-value = 5.696e-07
## # A tibble: 4 × 4
## model bf support margin_of_error
## <chr> <dbl> <chr> <dbl>
## 1 stest + stim 2088. " data support is extreme" 1.32e- 2
## 2 stest + stim + stest:stim 812. " data support is extreme" 1.07e- 2
## 3 stim 793. " data support is extreme" 6.69e-12
## 4 stest 1.55 " data support is anecdotal" 2.25e- 6
lp 3 | |||
---|---|---|---|
Predictors | Estimates | CI | p |
(Intercept) | 346.31 | 335.29 – 357.33 | <0.001 |
stim [active] | -0.06 | -6.85 – 6.74 | 0.987 |
stest [on7] | -5.90 | -13.54 – 1.74 | 0.129 |
stest [off14] | -1.80 | -9.44 – 5.84 | 0.643 |
stest [off28] | -0.70 | -8.34 – 6.94 | 0.857 |
stest [off42] | -0.80 | -8.44 – 6.84 | 0.837 |
stest [off56] | -1.30 | -8.94 – 6.34 | 0.737 |
stim [active] * stest [on7] |
-18.80 | -28.16 – -9.44 | <0.001 |
stim [active] * stest [off14] |
-33.55 | -42.91 – -24.19 | <0.001 |
stim [active] * stest [off28] |
-19.60 | -28.96 – -10.24 | <0.001 |
stim [active] * stest [off42] |
-7.10 | -16.46 – 2.26 | 0.136 |
stim [active] * stest [off56] |
-3.90 | -13.26 – 5.46 | 0.412 |
Random Effects | |||
σ2 | 74.96 | ||
τ00 id | 460.94 | ||
ICC | 0.86 | ||
N id | 20 | ||
Observations | 180 | ||
Marginal R2 / Conditional R2 | 0.214 / 0.890 |
ap 3 | |||
---|---|---|---|
Predictors | Estimates | CI | p |
(Intercept) | 11.44 | 9.36 – 13.51 | <0.001 |
stim [active] | -0.46 | -1.93 – 1.01 | 0.539 |
stest [on7] | 0.26 | -1.39 – 1.91 | 0.756 |
stest [off14] | -0.06 | -1.71 – 1.59 | 0.943 |
stest [off28] | -0.20 | -1.85 – 1.45 | 0.811 |
stest [off42] | 0.04 | -1.61 – 1.69 | 0.962 |
stest [off56] | -0.03 | -1.68 – 1.62 | 0.971 |
stim [active] * stest [on7] |
4.35 | 2.33 – 6.38 | <0.001 |
stim [active] * stest [off14] |
8.76 | 6.74 – 10.79 | <0.001 |
stim [active] * stest [off28] |
5.61 | 3.59 – 7.64 | <0.001 |
stim [active] * stest [off42] |
1.12 | -0.90 – 3.15 | 0.274 |
stim [active] * stest [off56] |
0.09 | -1.93 – 2.11 | 0.930 |
Random Effects | |||
σ2 | 3.50 | ||
τ00 id | 14.51 | ||
ICC | 0.81 | ||
N id | 20 | ||
Observations | 180 | ||
Marginal R2 / Conditional R2 | 0.326 / 0.869 |
tab_model(lmer(rt ~ stim*stest + (1|id), datot), digits=3)
rt | |||
---|---|---|---|
Predictors | Estimates | CI | p |
(Intercept) | 0.350 | 0.331 – 0.370 | <0.001 |
stim [active] | -0.014 | -0.025 – -0.003 | 0.017 |
stest [on7] | 0.001 | -0.011 – 0.014 | 0.818 |
stest [off14] | -0.000 | -0.013 – 0.013 | 0.963 |
stest [off28] | 0.002 | -0.011 – 0.015 | 0.794 |
stest [off42] | 0.007 | -0.006 – 0.019 | 0.311 |
stest [off56] | 0.004 | -0.009 – 0.017 | 0.569 |
stim [active] * stest [on7] |
-0.034 | -0.050 – -0.018 | <0.001 |
stim [active] * stest [off14] |
-0.046 | -0.062 – -0.031 | <0.001 |
stim [active] * stest [off28] |
-0.028 | -0.044 – -0.013 | <0.001 |
stim [active] * stest [off42] |
-0.011 | -0.027 – 0.004 | 0.155 |
stim [active] * stest [off56] |
-0.004 | -0.019 – 0.012 | 0.647 |
Random Effects | |||
σ2 | 0.00 | ||
τ00 id | 0.00 | ||
ICC | 0.88 | ||
N id | 20 | ||
Observations | 180 | ||
Marginal R2 / Conditional R2 | 0.223 / 0.903 |
–>
–>
–>
–>
–>
–>
–>