Estos son las pruebas de Wilcoxon

dfLong2 %>% group_by(Variable) %>% summarise( model=list(wilcox.test(T0,T1,paired=T, data=.)%>% tidy() )) %>%ungroup() %>% unnest(model) %>% knitr::kable()
## Warning in wilcox.test.default(T0, T1, paired = T, data = .): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(T0, T1, paired = T, data = .): cannot compute
## exact p-value with zeroes
## Warning in wilcox.test.default(T0, T1, paired = T, data = .): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(T0, T1, paired = T, data = .): cannot compute
## exact p-value with zeroes
## Warning in wilcox.test.default(T0, T1, paired = T, data = .): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(T0, T1, paired = T, data = .): cannot compute
## exact p-value with zeroes
Variable statistic p.value method alternative
Col 1334.0 0.3266762 Wilcoxon signed rank test with continuity correction two.sided
Glucemia 671.0 0.3018830 Wilcoxon signed rank test with continuity correction two.sided
Goldbergansied 993.5 0.0001343 Wilcoxon signed rank test with continuity correction two.sided
Goldbergdepres 814.0 0.0007389 Wilcoxon signed rank test with continuity correction two.sided
HbA1 117.5 0.5412771 Wilcoxon signed rank test with continuity correction two.sided
HDL 900.5 0.2619607 Wilcoxon signed rank test with continuity correction two.sided
IMC 1321.0 0.4992813 Wilcoxon signed rank test with continuity correction two.sided
LDL 1354.5 0.2686562 Wilcoxon signed rank test with continuity correction two.sided
PA 743.5 0.6209234 Wilcoxon signed rank test with continuity correction two.sided
Peso 1246.0 0.8202394 Wilcoxon signed rank test with continuity correction two.sided
TG 1438.0 0.0622233 Wilcoxon signed rank test with continuity correction two.sided
table1(~ . | Tiempo,data=dfLongWide %>% select(-Id,-talla))
## Warning in rownames(y)[1] <- labels$variables[[v]]: número de items para para
## sustituir no es un múltiplo de la longitud del reemplazo

## Warning in rownames(y)[1] <- labels$variables[[v]]: número de items para para
## sustituir no es un múltiplo de la longitud del reemplazo
0
(n=71)
1
(n=71)
Overall
(n=142)
0
Mean (SD) 0.465 (0.502) 0.465 (0.502) 0.465 (0.501)
Median [Min, Max] 0.00 [0.00, 1.00] 0.00 [0.00, 1.00] 0.00 [0.00, 1.00]
0
Mean (SD) 0.648 (0.481) 0.648 (0.481) 0.648 (0.479)
Median [Min, Max] 1.00 [0.00, 1.00] 1.00 [0.00, 1.00] 1.00 [0.00, 1.00]
Tiempo
0 71 (100%) 0 (0%) 71 (50.0%)
1 0 (0%) 71 (100%) 71 (50.0%)
Peso
Mean (SD) 84.2 (12.9) 84.1 (12.6) 84.2 (12.7)
Median [Min, Max] 84.0 [53.4, 114] 84.2 [54.8, 113] 84.1 [53.4, 114]
IMC
Mean (SD) 28.9 (3.74) 28.7 (3.50) 28.8 (3.61)
Median [Min, Max] 28.1 [20.9, 39.1] 28.2 [21.0, 38.0] 28.2 [20.9, 39.1]
Missing 0 (0%) 2 (2.8%) 2 (1.4%)
PA
Mean (SD) 104 (9.35) 103 (8.89) 103 (9.10)
Median [Min, Max] 103 [75.5, 125] 103 [77.0, 121] 103 [75.5, 125]
Missing 0 (0%) 5 (7.0%) 5 (3.5%)
Glucemia
Mean (SD) 104 (19.8) 106 (18.9) 105 (19.3)
Median [Min, Max] 100 [75.0, 184] 102 [71.0, 151] 101 [71.0, 184]
Missing 13 (18.3%) 14 (19.7%) 27 (19.0%)
HbA1
Mean (SD) 6.01 (1.08) 5.93 (0.592) 5.96 (0.832)
Median [Min, Max] 5.80 [4.70, 11.1] 5.80 [4.90, 7.30] 5.80 [4.70, 11.1]
Missing 36 (50.7%) 25 (35.2%) 61 (43.0%)
TG
Mean (SD) 133 (57.5) 124 (77.0) 128 (67.8)
Median [Min, Max] 120 [57.0, 341] 108 [40.0, 462] 114 [40.0, 462]
Missing 1 (1.4%) 3 (4.2%) 4 (2.8%)
Col
Mean (SD) 140 (35.4) 134 (25.8) 137 (31.1)
Median [Min, Max] 134 [78.0, 236] 128 [84.0, 221] 131 [78.0, 236]
Missing 0 (0%) 2 (2.8%) 2 (1.4%)
HDL
Mean (SD) 42.2 (11.1) 43.2 (12.3) 42.7 (11.7)
Median [Min, Max] 40.0 [24.0, 89.0] 41.0 [24.0, 112] 41.0 [24.0, 112]
Missing 1 (1.4%) 3 (4.2%) 4 (2.8%)
LDL
Mean (SD) 71.6 (27.5) 66.4 (20.9) 69.1 (24.6)
Median [Min, Max] 69.0 [26.0, 155] 63.0 [32.0, 142] 65.0 [26.0, 155]
Missing 0 (0%) 3 (4.2%) 3 (2.1%)
Goldbergansied
Mean (SD) 4.62 (3.22) 3.46 (3.01) 4.04 (3.16)
Median [Min, Max] 6.00 [0.00, 9.00] 3.00 [0.00, 9.00] 4.00 [0.00, 9.00]
Goldbergdepres
Mean (SD) 3.63 (3.03) 2.51 (2.61) 3.07 (2.88)
Median [Min, Max] 4.00 [0.00, 9.00] 2.00 [0.00, 9.00] 2.00 [0.00, 9.00]