| Data_w$Condition | Data_w[, c(“Marriage_Status”)] | n | porcentaje |
|---|---|---|---|
| Control | Free union | 3 | 15.789474 |
| Control | Married | 13 | 68.421053 |
| Control | Separated | 1 | 5.263158 |
| Control | Single | 2 | 10.526316 |
| Violence | Free union | 7 | 20.000000 |
| Violence | Married | 7 | 20.000000 |
| Violence | Separated | 3 | 8.571429 |
| Violence | Single | 13 | 37.142857 |
| Violence | Widower | 5 | 14.285714 |
Análisis de Datos
Análisis descriptivos de los datos
Analisis para las variables cualitativas separados por condición
Variable Marriage status
Variable cage
| Data_w$Condition | Data_w[, c(“CAGE”)] | n | porcentaje |
|---|---|---|---|
| Control | Consumo de riesgo | 1 | 5.263158 |
| Control | Consumo perjudicial | 2 | 10.526316 |
| Control | Negativo | 16 | 84.210526 |
| Violence | Consumo de riesgo | 1 | 2.857143 |
| Violence | Negativo | 34 | 97.142857 |
Variable medicamento
| Data_w$Condition | Data_w[, c(“Medicaments”)] | n | porcentaje |
|---|---|---|---|
| Control | No | 13 | 68.421053 |
| Control | Yes | 6 | 31.578947 |
| Violence | No | 25 | 71.428571 |
| Violence | Si | 1 | 2.857143 |
| Violence | Yes | 9 | 25.714286 |
variable Job_status
| Data_w$Condition | Data_w[, c(“Job_status”)] | n | porcentaje |
|---|---|---|---|
| Control | Full time job | 6 | 31.578947 |
| Control | Half time job | 2 | 10.526316 |
| Control | No job | 7 | 36.842105 |
| Control | independent | 4 | 21.052632 |
| Violence | Full time job | 7 | 20.000000 |
| Violence | Half time job | 3 | 8.571429 |
| Violence | No job | 15 | 42.857143 |
| Violence | independent | 10 | 28.571429 |
Control Violence
Full time job 6 7
Half time job 2 3
independent 4 10
No job 7 15
Pearson's Chi-squared test
data: tabla_Job_status
X-squared = 1.1145, df = 3, p-value = 0.7736Variable Disability
| Data_w$Condition | Data_w[, c(“Disability”)] | n | porcentaje |
|---|---|---|---|
| Control | No | 19 | 100 |
| Violence | No | 28 | 80 |
| Violence | Yes | 7 | 20 |
Control Violence
Full time job 6 7
Half time job 2 3
independent 4 10
No job 7 15
Fisher's Exact Test for Count Data
data: tabla_Disability
p-value = 0.04362
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
0.8504064 Inf
sample estimates:
odds ratio
Inf Variable PTSD
| Data_w$Condition | Data_w[, c(“PTSD”)] | n | porcentaje |
|---|---|---|---|
| Control | No | 19 | 100.000000 |
| Violence | No | 34 | 97.142857 |
| Violence | Yes | 1 | 2.857143 |
Variable Ilegal armed group
| Data_w$Condition | Data_w[, c(“Illegal_armed_group”)] | n | porcentaje |
|---|---|---|---|
| Control | No | 19 | 100.000000 |
| Violence | 2 | 5.714286 | |
| Violence | No | 16 | 45.714286 |
| Violence | Yes | 17 | 48.571429 |
Variable Displaced
| Data_w$Condition | Data_w[, c(“Displaced”)] | n | porcentaje |
|---|---|---|---|
| Control | No | 19 | 100.00000 |
| Violence | No | 5 | 14.28571 |
| Violence | Yes | 30 | 85.71429 |
Variable Sexo
| Data_w$Condition | Data_w[, c(“Sex”)] | n | porcentaje |
|---|---|---|---|
| Control | 0 | 12 | 63.15789 |
| Control | 1 | 7 | 36.84211 |
| Violence | 0 | 26 | 74.28571 |
| Violence | 1 | 9 | 25.71429 |
Control Violence
0 12 26
1 7 9
Pearson's Chi-squared test
data: tabla
X-squared = 0.73136, df = 1, p-value = 0.3924Análisis de datos cuantitativos separados por condición
| Condition | Estadistico | Cortisol | Age | FAST | TOTAL_HOPKINS | TOTAL_IFS.EF | TOTAL_PTSD | TOTAL_EDVC | TOTAL_EEP | DEPRESION_HOPKINS | IFS_WORK.MEMORY.INDEX | ANSIEDAD_HOPKINS | MOCA_total | ITQ | Since_.year_violence | School_years |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Control | max | 107.40000 | 67.000000 | 14.000000 | 19.000000 | 29.000000 | 12.000000 | 27.000000 | 31.000000 | 10.000000 | 9.000000 | 9.000000 | 30.000000 | 0.00000 | 0.000000 | 17.000000 |
| Control | mean | 68.80907 | 55.421053 | 7.210526 | 10.473684 | 24.000000 | 4.578947 | 9.473684 | 20.894737 | 5.421053 | 6.000000 | 5.052632 | 25.526316 | 0.00000 | 0.000000 | 13.210526 |
| Control | min | 13.58877 | 42.000000 | 0.000000 | 4.000000 | 21.000000 | 0.000000 | 3.000000 | 14.000000 | 2.000000 | 3.000000 | 1.000000 | 21.000000 | 0.00000 | 0.000000 | 5.000000 |
| Control | sd | 28.56367 | 6.517632 | 4.860029 | 4.376305 | 2.211083 | 4.004384 | 5.430044 | 4.201782 | 2.588775 | 1.732051 | 2.391505 | 3.203616 | 0.00000 | 0.000000 | 3.154872 |
| Violence | max | 97.10016 | 67.000000 | 51.000000 | 72.000000 | 26.000000 | 43.000000 | 26.000000 | 47.000000 | 44.000000 | 6.000000 | 28.000000 | 27.000000 | 26.00000 | 34.000000 | 21.000000 |
| Violence | mean | 57.37997 | 51.828571 | 17.828571 | 29.885714 | 20.285714 | 21.600000 | 15.800000 | 28.285714 | 16.400000 | 3.857143 | 13.485714 | 20.142857 | 15.77143 | 17.742857 | 11.371429 |
| Violence | min | 12.50410 | 40.000000 | 0.000000 | 3.000000 | 18.000000 | 2.000000 | 3.000000 | 20.000000 | 1.000000 | 2.000000 | 0.000000 | 8.000000 | 2.00000 | 4.000000 | 1.000000 |
| Violence | sd | 24.42507 | 8.893109 | 12.596652 | 17.634811 | 1.978880 | 11.919337 | 6.863372 | 6.322562 | 10.884960 | 1.115212 | 7.815412 | 4.759775 | 6.90305 | 6.321499 | 4.994619 |
Análisis estadisticos variables Cuantitativas
Existen diferencias en la escolaridad
Existen diferencias en la edad entre la condicion (control y conflicto)
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.88813, p-value = 0.02982
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.93093, p-value = 0.02982
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 2.6981 0.1065
52 Los datos no pasan normalidad ni homogeneidad de varianza se trabaja con U de mann whitney
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: School_years by Condition
W = 401, p-value = 0.2138
alternative hypothesis: true location shift is not equal to 0
Cohen's d
d estimate: 0.413763 (small)
95 percent confidence interval:
lower upper
-0.1636082 0.9911342 Edad Existen diferencias en la edad entre la condicion (control y conflicto)
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.97033, p-value = 0.7831
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.90687, p-value = 0.006082
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 4.7618 0.03364 *
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos no cumplen con normalidad ni homogeneidad de varianza se trabaja con u de mann whitney
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: Age by Condition
W = 411.5, p-value = 0.1545
alternative hypothesis: true location shift is not equal to 0
Cohen's d
d estimate: 0.4408187 (small)
95 percent confidence interval:
lower upper
-0.1372986 1.0189359 [1] 8.149567Existen diferencias sig entre la variable condition y los niveles de cortisol
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.93782, p-value = 0.2408
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.96205, p-value = 0.2631
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 0.8308 0.3663
52 Los datos presentan normalidad y homogeneidad de varianza p>0.05
Prueba de comparación t.student
Welch Two Sample t-test
data: Data_w$Cortisol by Data_w$Condition
t = 1.4757, df = 32.422, p-value = 0.1497
alternative hypothesis: true difference in means between group Control and group Violence is not equal to 0
95 percent confidence interval:
-4.339095 27.197298
sample estimates:
mean in group Control mean in group Violence
68.80907 57.37997
Cohen's d
d estimate: 0.4407248 (small)
95 percent confidence interval:
lower upper
-0.1373898 1.0188394 
No existen diferencias significaticas p=0.1497 entre el grupos control (68.809 +/- 28.56) y el grupo violence (57.380 +/- 24.42)
Variable FAST
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.91059, p-value = 0.07589
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.92866, p-value = 0.02553
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 6.5371 0.01352 *
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1los datos no pasan prueba de normalidad ni homogeneidad de varianza por lo cual se realizan pruebas no parametricas
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: FAST by Condition
W = 145.5, p-value = 0.0007182
alternative hypothesis: true location shift is not equal to 0
Los datos presentaron diferencias significativas p= 0.00072 entre el grupo control (7.21 +/- 4.86) y el grupo violence (17.82 +/- 12.59)
Variable Total Hopkins
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.95688, p-value = 0.5126
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.96253, p-value = 0.272
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 19.543 5.032e-05 ***
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos presentaron normalidad p>0.05 pero no presentaron homogeneidad de varianza p<0.05 igual se trabaja con prueba t pero con varianzas no iguales
Prueba de comparación t.studen
Welch Two Sample t-test
data: Data_w$TOTAL_HOPKINS by Condition
t = -6.1716, df = 41.151, p-value = 2.431e-07
alternative hypothesis: true difference in means between group Control and group Violence is not equal to 0
95 percent confidence interval:
-25.76352 -13.06054
sample estimates:
mean in group Control mean in group Violence
10.47368 29.88571 
Existen diferencias significativas p= 2.431e-07 entre el grupo control (10.47 +/- 4.37) y el grupo violence (29.88 +/- 17.63)
Variable Total IFS.EF
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.91215, p-value = 0.08108
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.89663, p-value = 0.003213
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 0.056 0.8138
52 Violence no pasa prueba de normalidad p<0.05 por lo cual debemos realizar pruebas no parametricas
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: TOTAL_IFS.EF by Condition
W = 598, p-value = 1.301e-06
alternative hypothesis: true location shift is not equal to 0
Existen diferencias significativas para el total IFS EF entre el gruppo control (24 +/- 2.21) y el grupo violence (20.28 +/- 1.98)
Variable Total_PTSD
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.90678, p-value = 0.06462
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.95774, p-value = 0.1955
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 18.838 6.587e-05 ***
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos presentaron normalidad p>0.05 pero no homogeneidad de varianza se realiza prueba parametrica
Prueba de comparación t.studen
Welch Two Sample t-test
data: Data_w$TOTAL_PTSD by Condition
t = -7.6869, df = 45.863, p-value = 8.757e-10
alternative hypothesis: true difference in means between group Control and group Violence is not equal to 0
95 percent confidence interval:
-21.47856 -12.56354
sample estimates:
mean in group Control mean in group Violence
4.578947 21.600000 
Existen diferencias significativas p=8.757e-10 entre el grupo control (4.58 +/- 4) y el grupo violence (21.6 +/- 11.919)
Variable cortisol y desplazados
Prueba de normalidad
$No
Shapiro-Wilk normality test
data: X[[i]]
W = 0.94413, p-value = 0.2015
$Yes
Shapiro-Wilk normality test
data: X[[i]]
W = 0.95525, p-value = 0.2331
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 0.4486 0.506
52 Los datos son normales y presentan homogeneidad se procede a realizar una prueba de t studen
Prueba de comparación t.studen
Welch Two Sample t-test
data: Data_w$Cortisol by Displaced
t = 1.5503, df = 47.875, p-value = 0.1276
alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
95 percent confidence interval:
-3.293123 25.470329
sample estimates:
mean in group No mean in group Yes
67.56166 56.47305 
Los datos no presentaron diferencias significativas
Variable Moca_total
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.88803, p-value = 0.02971
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.92383, p-value = 0.01841
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 1.5952 0.2122
52 Los datos no se distribuyen normalmente p<0.05 por lo cual se realiza una prueba no parametrica
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: MOCA_total by Condition
W = 542, p-value = 0.0001436
alternative hypothesis: true location shift is not equal to 0
Se observor una diferencia p = 0.0001 significativa en el MOCA total entre el grupo control (25.52 +/- 3.2) y el grupo violence (20.14 +/- 4.7)
Variable TOTAL_EDVC
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.83156, p-value = 0.003411
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.94122, p-value = 0.06094
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 2.9073 0.09415 .
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos no pasan normalidad P<0.05 por lo cual se debe realizar pruebas no parametricas
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: TOTAL_EDVC by Condition
W = 161.5, p-value = 0.001961
alternative hypothesis: true location shift is not equal to 0
Existe diferencias significativas p=0.0019 en el total EDVC entre el grupo control (9.47 +/- 5.4) y el grupo violence (15.8 +/- 6.86)
Variable tatol EEP
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.93131, p-value = 0.183
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.90731, p-value = 0.006253
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 1.9095 0.1729
52 Los datos no presentan homogeneidad de varianza por lo cual se realiza una prueba no parametrica
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: TOTAL_EEP by Condition
W = 93.5, p-value = 1.498e-05
alternative hypothesis: true location shift is not equal to 0
Se observa que hay una diferencia significativa en el total de EEP entre el grupo control (20.89 +/- 4.2) y el grupo violence (28.28 +/- 6.32)
Depresion Hopkins
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.90606, p-value = 0.0627
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.93391, p-value = 0.03661
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 15.696 0.0002276 ***
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos no se distriuyen de forma normal p<0.05 por lo cual se realizan pruebas no parametricas
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: DEPRESION_HOPKINS by Condition
W = 104, p-value = 3.463e-05
alternative hypothesis: true location shift is not equal to 0
Se observa una diferencia significativa p=3.46e-05 entre el grupo control(5.42 +/- 2.5) y el grupo violence (16.4 +/- 10.88)
Varibale IFS work memory
Prueba de normalidad
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.95426, p-value = 0.4653
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.91592, p-value = 0.0109
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 4.3932 0.04097 *
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos no cumplen con normalidad p<0.05 por lo cual se realiza una prueba no parametrica.
Prueba de comparación u mann whitney
Wilcoxon rank sum test with continuity correction
data: IFS_WORK.MEMORY.INDEX by Condition
W = 561, p-value = 2.545e-05
alternative hypothesis: true location shift is not equal to 0
Existe una diferncia significativa p=2.545e-05 entre el grupo control (6 +/- 1.7) y el grupo violence (3.8 +/- 1.11)
Variables Ansiedad Hopkins
$Control
Shapiro-Wilk normality test
data: X[[i]]
W = 0.94264, p-value = 0.294
$Violence
Shapiro-Wilk normality test
data: X[[i]]
W = 0.96284, p-value = 0.2777
Levene's Test for Homogeneity of Variance (center = median)
Df F value Pr(>F)
group 1 17.783 9.916e-05 ***
52
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Los datos pasan normalidad p>0.05 pero no tienen homogeneidad de varianza se continua con un analisis parametrico
Prueba de comparación t.studen
Welch Two Sample t-test
data: ANSIEDAD_HOPKINS by Condition
t = -5.8954, df = 44.254, p-value = 4.716e-07
alternative hypothesis: true difference in means between group Control and group Violence is not equal to 0
95 percent confidence interval:
-11.315492 -5.550673
sample estimates:
mean in group Control mean in group Violence
5.052632 13.485714 
Se observa ua diferencia significativa p= 4.71e-07 entre el grupo control (5.05 +/- 2.3) y el grupo violence (13.48 +/- 7.8)
Analisis de correlacion
Variables de correlacion MoCA, IFS Total, Hopkins Total, PTSD, EDVC, EEP, FAST.
subdatos <- Data_w[, c("FAST", "TOTAL_HOPKINS", "TOTAL_IFS.EF", "TOTAL_PTSD", "TOTAL_EDVC", "TOTAL_EEP", "MOCA_total")]
correlacion <- cor(subdatos, method = "pearson")
# También puedes usar "spearman" o "kendall"
print(correlacion) FAST TOTAL_HOPKINS TOTAL_IFS.EF TOTAL_PTSD TOTAL_EDVC
FAST 1.0000000 0.6960764 -0.3156552 0.7366066 0.34829298
TOTAL_HOPKINS 0.6960764 1.0000000 -0.4697888 0.7831927 0.36133178
TOTAL_IFS.EF -0.3156552 -0.4697888 1.0000000 -0.4045203 -0.15532184
TOTAL_PTSD 0.7366066 0.7831927 -0.4045203 1.0000000 0.47138305
TOTAL_EDVC 0.3482930 0.3613318 -0.1553218 0.4713831 1.00000000
TOTAL_EEP 0.4729835 0.5664526 -0.3316772 0.6605767 0.46253660
MOCA_total -0.1649257 -0.3032582 0.6056766 -0.2859183 -0.07012968
TOTAL_EEP MOCA_total
FAST 0.4729835 -0.16492570
TOTAL_HOPKINS 0.5664526 -0.30325824
TOTAL_IFS.EF -0.3316772 0.60567657
TOTAL_PTSD 0.6605767 -0.28591827
TOTAL_EDVC 0.4625366 -0.07012968
TOTAL_EEP 1.0000000 -0.40118529
MOCA_total -0.4011853 1.00000000colnames(correlacion) <- c("FAST", "Hopkins", "IFS Total", "PTSD", "EDVC", "EEP", "MoCA")
rownames(correlacion) <- c("FAST", "Hopkins", "IFS Total", "PTSD", "EDVC", "EEP", "MoCA")
# Instala si no tienes estas librerías
# install.packages("corrplot")
library(corrplot)Warning: package 'corrplot' was built under R version 4.4.3corrplot 0.95 loaded# Mapa de calor de correlaciones
corrplot(correlacion, method = "color", type = "upper", tl.col = "black", tl.srt = 45)
# Instala si no tienes esta librería
# install.packages("Hmisc")
library(Hmisc)
Adjuntando el paquete: 'Hmisc'The following objects are masked from 'package:summarytools':
label, label<-The following objects are masked from 'package:dplyr':
src, summarizeThe following objects are masked from 'package:base':
format.pval, units# Correlaciones con p-valores
res <- rcorr(as.matrix(subdatos))
res$r FAST TOTAL_HOPKINS TOTAL_IFS.EF TOTAL_PTSD TOTAL_EDVC
FAST 1.0000000 0.6960764 -0.3156552 0.7366066 0.34829298
TOTAL_HOPKINS 0.6960764 1.0000000 -0.4697888 0.7831927 0.36133178
TOTAL_IFS.EF -0.3156552 -0.4697888 1.0000000 -0.4045203 -0.15532184
TOTAL_PTSD 0.7366066 0.7831927 -0.4045203 1.0000000 0.47138305
TOTAL_EDVC 0.3482930 0.3613318 -0.1553218 0.4713831 1.00000000
TOTAL_EEP 0.4729835 0.5664526 -0.3316772 0.6605767 0.46253660
MOCA_total -0.1649257 -0.3032582 0.6056766 -0.2859183 -0.07012968
TOTAL_EEP MOCA_total
FAST 0.4729835 -0.16492570
TOTAL_HOPKINS 0.5664526 -0.30325824
TOTAL_IFS.EF -0.3316772 0.60567657
TOTAL_PTSD 0.6605767 -0.28591827
TOTAL_EDVC 0.4625366 -0.07012968
TOTAL_EEP 1.0000000 -0.40118529
MOCA_total -0.4011853 1.00000000# Matriz de correlaciones
res$P FAST TOTAL_HOPKINS TOTAL_IFS.EF TOTAL_PTSD TOTAL_EDVC
FAST NA 5.110526e-09 2.006669e-02 2.167888e-10 0.0098543742
TOTAL_HOPKINS 5.110526e-09 NA 3.383289e-04 2.583045e-12 0.0072646085
TOTAL_IFS.EF 2.006669e-02 3.383289e-04 NA 2.414329e-03 0.2620779308
TOTAL_PTSD 2.167888e-10 2.583045e-12 2.414329e-03 NA 0.0003208472
TOTAL_EDVC 9.854374e-03 7.264608e-03 2.620779e-01 3.208472e-04 NA
TOTAL_EEP 3.041267e-04 8.013648e-06 1.428235e-02 5.471324e-08 0.0004292892
MOCA_total 2.333494e-01 2.580586e-02 1.218816e-06 3.609361e-02 0.6143257255
TOTAL_EEP MOCA_total
FAST 3.041267e-04 2.333494e-01
TOTAL_HOPKINS 8.013648e-06 2.580586e-02
TOTAL_IFS.EF 1.428235e-02 1.218816e-06
TOTAL_PTSD 5.471324e-08 3.609361e-02
TOTAL_EDVC 4.292892e-04 6.143257e-01
TOTAL_EEP NA 2.642567e-03
MOCA_total 2.642567e-03 NA# Matriz de p-valores