1 contraste momento a momento

## [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

2 ANOVA medidas repetidas

AOV summary table, table of overall model information and table of means.Interaction graph. Brown-Forsythe test for homogeneity of variance

2.1 lp3

## 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

2.2 ap3

## 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

2.3 rt

## 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

3 Modelo lineal mixto

3.1 lp3

  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

3.2 ap3

  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

3.3 rt

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

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