Reportes
Proyecto: Sangre total – FVL-2019/20
Statistics analysis: V.1.0 Date: 16-01-2020
Hemoglobina
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 12.4 12.0 2 1.29 0.290 1.66 10.6 15 0.19
## 2 6 11.9 12 1.68 1.84 0.41 3.4 7.8 14.6 0.13
## 3 11 12.4 12 2.05 1.31 0.290 1.71 10.5 15 0.15
## 4 16 12.3 11.8 2.3 1.49 0.33 2.21 9.8 14.9 0.33
## 5 21 12.8 12.4 2.22 1.47 0.33 2.17 10.5 15.4 0.3Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 9.918 2.4794 1.1131 0.355
## Residuals 95 211.603 2.2274
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
Hematocrito
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 38.1 37 5.73 3.73 0.83 13.9 32 45.2 0.15
## 2 6 36.7 36.4 6.1 5.67 1.27 32.1 24.8 44.9 0.16
## 3 11 39.1 37.8 6.23 4.13 0.92 17.1 31.4 46.8 0.13
## 4 16 39.0 38.1 7.38 4.65 1.04 21.6 32.3 46.6 0.19
## 5 21 41.2 39.6 7.3 5.02 1.12 25.2 33.1 51.6 0.45Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 210.32 52.581 2.3926 0.05598 .
## Residuals 95 2087.74 21.976
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
Plaquetas
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 189150 187000 48250 36582. 8180. 1338239474. 130000 264000 0.82
## 2 6 92150 82000 79000 50913. 11384. 2592134211. 21000 204000 0.37
## 3 11 89700 79000 38500 33309. 7448. 1109484211. 40000 181000 0.08
## 4 16 76600 71000 16750 20197. 4516. 407936842. 52000 134000 0.02
## 5 21 96100 95000 15250 16251. 3634. 264094737. 64000 143000 0.05Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 1.6593e+11 4.1481e+10 36.311 < 2.2e-16 ***
## Residuals 95 1.0853e+11 1.1424e+09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = model)
##
## $`factor(ind)`
## diff lwr upr p adj
## Plt 6-Plt 0 -97000 -126722.46 -67277.54 0.0000000
## Plt 11-Plt 0 -99450 -129172.46 -69727.54 0.0000000
## Plt 16-Plt 0 -112550 -142272.46 -82827.54 0.0000000
## Plt 21-Plt 0 -93050 -122772.46 -63327.54 0.0000000
## Plt 11-Plt 6 -2450 -32172.46 27272.46 0.9993774
## Plt 16-Plt 6 -15550 -45272.46 14172.46 0.5940630
## Plt 21-Plt 6 3950 -25772.46 33672.46 0.9959605
## Plt 16-Plt 11 -13100 -42822.46 16622.46 0.7364939
## Plt 21-Plt 11 6400 -23322.46 36122.46 0.9749510
## Plt 21-Plt 16 19500 -10222.46 49222.46 0.3657755
##
##
## $Kruskal_bonfe
## # A tibble: 10 x 9
## .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
## * <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
## 1 values Plt 0 Plt 6 20 20 -5.07 4.05e- 7 4.05e-6 ****
## 2 values Plt 0 Plt 11 20 20 -5.19 2.14e- 7 2.14e-6 ****
## 3 values Plt 0 Plt 16 20 20 -6.34 2.31e-10 2.31e-9 ****
## 4 values Plt 0 Plt 21 20 20 -4.04 5.36e- 5 5.36e-4 ***
## 5 values Plt 6 Plt 11 20 20 -0.120 9.05e- 1 1.00e+0 ns
## 6 values Plt 6 Plt 16 20 20 -1.27 2.03e- 1 1.00e+0 ns
## 7 values Plt 6 Plt 21 20 20 1.03 3.04e- 1 1.00e+0 ns
## 8 values Plt 11 Plt 16 20 20 -1.15 2.49e- 1 1.00e+0 ns
## 9 values Plt 11 Plt 21 20 20 1.15 2.51e- 1 1.00e+0 ns
## 10 values Plt 16 Plt 21 20 20 2.30 2.14e- 2 2.14e-1 ns
Fibrinogeno
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 252. 249 50.8 49.4 11.0 2440. 161 368 0.63
## 2 6 238. 232. 43.5 44.0 9.83 1934. 194 378 0
## 3 11 237. 230 42.8 42.4 9.48 1799. 194 339 0.01
## 4 16 237. 229 51.8 50.2 11.2 2516. 184 381 0.01
## 5 21 225. 217 37.2 43.7 9.77 1909. 178 360 0Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 6898 1724.5 0.8136 0.5196
## Residuals 95 201365 2119.6
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
Factor II
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 92.4 90.5 15.6 12.5 2.8 157. 71.8 120 0.73
## 2 6 84.8 79.3 13.4 22.4 5.01 502. 64.6 170. 0
## 3 11 80.7 76.4 23.2 15.0 3.35 224. 62.3 120 0.05
## 4 16 79.7 75.2 18.0 15.4 3.44 237. 60.5 123. 0.02
## 5 21 68.3 61.1 19.8 14.4 3.23 209. 53.1 106. 0Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 6161.4 1540.36 5.7983 0.0003217 ***
## Residuals 95 25237.4 265.66
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = model)
##
## $`factor(ind)`
## diff lwr upr p adj
## FII 6-FII 0 -7.555 -21.8881 6.778098 0.5870438
## FII 11-FII 0 -11.705 -26.0381 2.628098 0.1634958
## FII 16-FII 0 -12.715 -27.0481 1.618098 0.1070188
## FII 21-FII 0 -24.115 -38.4481 -9.781902 0.0000921
## FII 11-FII 6 -4.150 -18.4831 10.183098 0.9284329
## FII 16-FII 6 -5.160 -19.4931 9.173098 0.8542330
## FII 21-FII 6 -16.560 -30.8931 -2.226902 0.0150937
## FII 16-FII 11 -1.010 -15.3431 13.323098 0.9996652
## FII 21-FII 11 -12.410 -26.7431 1.923098 0.1221534
## FII 21-FII 16 -11.400 -25.7331 2.933098 0.1843059
##
##
## $Kruskal_bonfe
## # A tibble: 10 x 9
## .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
## * <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
## 1 values FII 0 FII 6 20 20 -2.01 0.0439 4.39e-1 ns
## 2 values FII 0 FII 11 20 20 -2.51 0.0122 1.22e-1 ns
## 3 values FII 0 FII 16 20 20 -2.76 0.00570 5.70e-2 ns
## 4 values FII 0 FII 21 20 20 -5.12 0.000000306 3.06e-6 ****
## 5 values FII 6 FII 11 20 20 -0.491 0.624 1.00e+0 ns
## 6 values FII 6 FII 16 20 20 -0.750 0.453 1.00e+0 ns
## 7 values FII 6 FII 21 20 20 -3.11 0.00190 1.90e-2 *
## 8 values FII 11 FII 16 20 20 -0.259 0.796 1.00e+0 ns
## 9 values FII 11 FII 21 20 20 -2.61 0.00894 8.94e-2 ns
## 10 values FII 16 FII 21 20 20 -2.36 0.0185 1.85e-1 ns
Factor V
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 79.8 83.7 23.7 16.3 3.65 267. 49.1 110 0.69
## 2 6 69.4 70.6 22.0 15.2 3.41 233. 45.3 99.8 0.84
## 3 11 62.5 65.4 19.8 13.5 3.03 183. 35.8 82.7 0.56
## 4 16 46.2 42.7 15.7 10.4 2.33 108. 26.1 63.3 0.43
## 5 21 41.8 41.0 12.6 9.06 2.03 82.1 23.3 58.2 0.91Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 20169 5042.3 28.875 1.046e-15 ***
## Residuals 95 16589 174.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = model)
##
## $`factor(ind)`
## diff lwr upr p adj
## FV 6-FV 0 -10.460 -22.08065 1.160651 0.0985256
## FV 11-FV 0 -17.335 -28.95565 -5.714349 0.0006833
## FV 16-FV 0 -33.600 -45.22065 -21.979349 0.0000000
## FV 21-FV 0 -38.040 -49.66065 -26.419349 0.0000000
## FV 11-FV 6 -6.875 -18.49565 4.745651 0.4726885
## FV 16-FV 6 -23.140 -34.76065 -11.519349 0.0000027
## FV 21-FV 6 -27.580 -39.20065 -15.959349 0.0000000
## FV 16-FV 11 -16.265 -27.88565 -4.644349 0.0016936
## FV 21-FV 11 -20.705 -32.32565 -9.084349 0.0000306
## FV 21-FV 16 -4.440 -16.06065 7.180651 0.8251321
##
##
## $Kruskal_bonfe
## # A tibble: 10 x 9
## .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
## * <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
## 1 values FV 0 FV 6 20 20 -1.40 1.63e- 1 1.00e+0 ns
## 2 values FV 0 FV 11 20 20 -2.48 1.30e- 2 1.30e-1 ns
## 3 values FV 0 FV 16 20 20 -5.36 8.26e- 8 8.26e-7 ****
## 4 values FV 0 FV 21 20 20 -6.19 6.12e-10 6.12e-9 ****
## 5 values FV 6 FV 11 20 20 -1.09 2.77e- 1 1.00e+0 ns
## 6 values FV 6 FV 16 20 20 -3.97 7.31e- 5 7.31e-4 ***
## 7 values FV 6 FV 21 20 20 -4.79 1.65e- 6 1.65e-5 ****
## 8 values FV 11 FV 16 20 20 -2.88 4.00e- 3 4.00e-2 *
## 9 values FV 11 FV 21 20 20 -3.70 2.12e- 4 2.12e-3 **
## 10 values FV 16 FV 21 20 20 -0.826 4.09e- 1 1.00e+0 ns
Factor VII
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 83.2 80.4 22.5 24.2 5.41 586. 25.5 145 0.41
## 2 6 73.2 58.0 20.4 65.1 14.6 4235. 40.1 344. 0
## 3 11 68.3 58.7 15.1 48 10.7 2304. 37.8 266. 0
## 4 16 63.8 54.6 14.7 34.6 7.74 1200. 39.4 201. 0
## 5 21 56.6 51.6 18 29.2 6.52 850. 34.1 171. 0Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 8011 2002.7 1.0915 0.3653
## Residuals 95 174304 1834.8
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
Factor VIII
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 83.2 80.4 22.5 24.2 5.41 586. 25.5 145 0.41
## 2 6 73.2 58.0 20.4 65.1 14.6 4235. 40.1 344. 0
## 3 11 68.3 58.7 15.1 48 10.7 2304. 37.8 266. 0
## 4 16 63.8 54.6 14.7 34.6 7.74 1200. 39.4 201. 0
## 5 21 56.6 51.6 18 29.2 6.52 850. 34.1 171. 0Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 85964 21491.0 32.831 < 2.2e-16 ***
## Residuals 95 62187 654.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = model)
##
## $`factor(ind)`
## diff lwr upr p adj
## FVIII 6-FVIII 0 -64.600 -87.0992 -42.100797 0.0000000
## FVIII 11-FVIII 0 -73.285 -95.7842 -50.785797 0.0000000
## FVIII 16-FVIII 0 -78.085 -100.5842 -55.585797 0.0000000
## FVIII 21-FVIII 0 -73.925 -96.4242 -51.425797 0.0000000
## FVIII 11-FVIII 6 -8.685 -31.1842 13.814203 0.8196760
## FVIII 16-FVIII 6 -13.485 -35.9842 9.014203 0.4593242
## FVIII 21-FVIII 6 -9.325 -31.8242 13.174203 0.7780290
## FVIII 16-FVIII 11 -4.800 -27.2992 17.699203 0.9757868
## FVIII 21-FVIII 11 -0.640 -23.1392 21.859203 0.9999910
## FVIII 21-FVIII 16 4.160 -18.3392 26.659203 0.9857614
##
##
## $Kruskal_bonfe
## # A tibble: 10 x 9
## .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
## * <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
## 1 values FVIII 0 FVIII 6 20 20 -4.09 4.36e-5 4.36e-4 ***
## 2 values FVIII 0 FVIII … 20 20 -5.11 3.23e-7 3.23e-6 ****
## 3 values FVIII 0 FVIII … 20 20 -5.87 4.36e-9 4.36e-8 ****
## 4 values FVIII 0 FVIII … 20 20 -5.19 2.06e-7 2.06e-6 ****
## 5 values FVIII 6 FVIII … 20 20 -1.02 3.07e-1 1.00e+0 ns
## 6 values FVIII 6 FVIII … 20 20 -1.78 7.47e-2 7.47e-1 ns
## 7 values FVIII 6 FVIII … 20 20 -1.11 2.69e-1 1.00e+0 ns
## 8 values FVIII … FVIII … 20 20 -0.760 4.47e-1 1.00e+0 ns
## 9 values FVIII … FVIII … 20 20 -0.0845 9.33e-1 1.00e+0 ns
## 10 values FVIII … FVIII … 20 20 0.676 4.99e-1 1.00e+0 ns
Factor IX
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 107. 101. 18 16.4 3.68 270. 81.3 145. 0.03
## 2 6 97.8 94.2 17.8 13.8 3.08 190. 79.8 133. 0.14
## 3 11 94.5 92.6 10.8 13.9 3.11 193. 72.6 132. 0.16
## 4 16 89.1 86.6 22.3 14.4 3.23 208. 69.9 124. 0.17
## 5 21 90.5 89.2 12.4 13.2 2.95 173. 62.7 118. 0.63Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 4052.9 1013.2 4.8925 0.001246 **
## Residuals 95 19674.1 207.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = model)
##
## $`factor(ind)`
## diff lwr upr p adj
## FIX 6-FIX 0 -9.185 -21.8401 3.4701024 0.2652811
## FIX 11-FIX 0 -12.390 -25.0451 0.2651024 0.0580052
## FIX 16-FIX 0 -17.850 -30.5051 -5.1948976 0.0015254
## FIX 21-FIX 0 -16.445 -29.1001 -3.7898976 0.0043276
## FIX 11-FIX 6 -3.205 -15.8601 9.4501024 0.9550525
## FIX 16-FIX 6 -8.665 -21.3201 3.9901024 0.3223128
## FIX 21-FIX 6 -7.260 -19.9151 5.3951024 0.5040742
## FIX 16-FIX 11 -5.460 -18.1151 7.1951024 0.7514842
## FIX 21-FIX 11 -4.055 -16.7101 8.6001024 0.8995559
## FIX 21-FIX 16 1.405 -11.2501 14.0601024 0.9979930
##
##
## $Kruskal_bonfe
## # A tibble: 10 x 9
## .y. group1 group2 n1 n2 statistic p p.adj p.adj.signif
## * <chr> <chr> <chr> <int> <int> <dbl> <dbl> <dbl> <chr>
## 1 values FIX 0 FIX 6 20 20 -1.88 0.0600 0.600 ns
## 2 values FIX 0 FIX 11 20 20 -2.56 0.0105 0.105 ns
## 3 values FIX 0 FIX 16 20 20 -3.77 0.000162 0.00162 **
## 4 values FIX 0 FIX 21 20 20 -3.40 0.000677 0.00677 **
## 5 values FIX 6 FIX 11 20 20 -0.679 0.497 1 ns
## 6 values FIX 6 FIX 16 20 20 -1.89 0.0585 0.585 ns
## 7 values FIX 6 FIX 21 20 20 -1.52 0.129 1 ns
## 8 values FIX 11 FIX 16 20 20 -1.21 0.225 1 ns
## 9 values FIX 11 FIX 21 20 20 -0.839 0.401 1 ns
## 10 values FIX 16 FIX 21 20 20 0.373 0.709 1 ns
Factor X
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 83.3 80.0 12.4 16.9 3.78 285. 57.8 123. 0.21
## 2 6 83.9 80.2 17.2 23.3 5.22 545. 58.2 159 0
## 3 11 83.4 79.0 21.8 19.1 4.27 365. 56.6 137. 0.11
## 4 16 77.8 73.7 16.4 17.4 3.89 302. 52.5 118. 0.15
## 5 21 75.1 72.2 21.6 15.6 3.48 242. 53.1 106. 0.290Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 1302 325.42 0.9355 0.4469
## Residuals 95 33046 347.85
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
Factor XI
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 97 100. 27.2 27.0 6.03 727. 5.5 126. 0
## 2 6 98.3 102. 18.0 15.5 3.47 241. 64 121. 0.27
## 3 11 96.8 97.8 16.7 14.8 3.31 219. 62.8 125. 0.82
## 4 16 95.4 100. 14.7 13.5 3.01 182. 64.2 119. 0.31
## 5 21 102. 101. 22.6 16.6 3.71 275. 75.6 141. 0.9Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 505 126.24 0.3841 0.8195
## Residuals 95 31224 328.67
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
PCC
Description
## # A tibble: 5 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 89.4 89.5 16 14 3.13 196. 70 126 0.18
## 2 6 91.3 83.5 15.5 21.8 4.87 475. 72 168 0
## 3 11 80.4 76 12.5 18.6 4.16 346. 62 147 0
## 4 16 81.4 76.5 14.2 18.8 4.22 355. 65 148 0
## 5 21 77.4 74.5 18.5 18.4 4.12 340. 56 142 0Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 4 2900 724.99 2.1175 0.08459 .
## Residuals 95 32526 342.38
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
TROMBOELASTOGRAFIA
R
Description
## # A tibble: 4 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 11.3 10.9 2.65 1.98 0.44 3.92 7.7 15.9 0.5
## 2 6 10.2 11.0 4.8 3.08 0.69 9.47 4.2 16 0.45
## 3 11 10.1 10.2 2.65 1.98 0.44 3.9 7.2 13.8 0.26
## 4 16 9.39 9.75 2.63 2.17 0.49 4.73 5.9 13.3 0.17Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 3 36.99 12.3298 2.2406 0.09034 .
## Residuals 76 418.22 5.5029
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
ANGLE
Description
## # A tibble: 4 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 37.8 36 7.6 7.6 1.7 57.8 25 52.5 0.67
## 2 6 43.1 39.1 14.5 13.7 3.06 187. 23.9 69.3 0.11
## 3 11 36.4 37.0 5.55 4.49 1 20.2 25.3 43 0.37
## 4 16 38.3 36.0 11.7 10.5 2.35 111. 23.8 59.6 0.21Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 3 511.4 170.453 1.816 0.1514
## Residuals 76 7133.4 93.861
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA
## MA ### Description
## # A tibble: 4 x 10
## time mean median IQR sd es var min max shapiro
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 0 49.8 50.2 8.43 6.37 1.42 40.6 37 60.1 0.9
## 2 6 53 53.0 7.53 7.64 1.71 58.3 37.8 69.5 0.79
## 3 11 50.8 50.9 5.47 4.82 1.08 23.3 39.1 58.9 0.8
## 4 16 51.2 52.4 7.5 4.82 1.08 23.3 40.5 60.3 0.8Prueba de ANOVA
## $anova
## Analysis of Variance Table
##
## Response: values
## Df Sum Sq Mean Sq F value Pr(>F)
## factor(ind) 3 105.95 35.315 0.9711 0.4109
## Residuals 76 2763.70 36.364
##
## $tunkey
## [1] NA
##
## $Kruskal_bonfe
## [1] NA