Veamos un poco de descriptiva de la base de datos:
table1( ~ .|grupo,data=df
, render.continuous=c(.="Mean (SD) ", " Mediana [Q1,Q3] "= "Q2 [Q1, Q3]",
"CV%, [Rango] "="CV%, [MIN, MAX]"))
## Warning in table1.formula(~. | grupo, data = df, render.continuous = c(.
## = "Mean (SD) ", : Terms to the right of '|' in formula 'x' define table
## columns and are expected to be factors with meaningful labels.
0 (n=41) |
1 (n=39) |
Overall (n=80) |
|
---|---|---|---|
grupo | |||
Mean (SD) | 0.00 (0.00) | 1.00 (0.00) | 0.488 (0.503) |
Mediana [Q1,Q3] | 0.00 [0.00, 0.00] | 1.00 [1.00, 1.00] | 0.00 [0.00, 1.00] |
CV%, [Rango] | NA | 0%, [1.00, 1.00] | 103.2%, [0.00, 1.00] |
edad | |||
Mean (SD) | 27.9 (4.24) | 41.8 (10.5) | 34.7 (10.5) |
Mediana [Q1,Q3] | 27.0 [25.0, 29.1] | 40.5 [34.3, 50.3] | 31.2 [26.3, 40.7] |
CV%, [Rango] | 15.2%, [23.0, 43.3] | 25.2%, [20.4, 63.8] | 30.4%, [20.4, 63.8] |
ESTATURA | |||
Mean (SD) | 1.65 (0.0491) | 1.65 (0.0610) | 1.65 (0.0549) |
Mediana [Q1,Q3] | 1.64 [1.61, 1.69] | 1.64 [1.61, 1.69] | 1.64 [1.61, 1.69] |
CV%, [Rango] | 3.0%, [1.57, 1.77] | 3.7%, [1.54, 1.78] | 3.3%, [1.54, 1.78] |
PESO | |||
Mean (SD) | 60.1 (7.01) | 59.6 (6.96) | 59.8 (6.94) |
Mediana [Q1,Q3] | 59.0 [55.0, 62.0] | 60.0 [56.0, 64.0] | 59.0 [55.0, 64.0] |
CV%, [Rango] | 11.7%, [49.0, 75.0] | 11.7%, [41.0, 73.5] | 11.6%, [41.0, 75.0] |
IMC | |||
Mean (SD) | 36.4 (4.06) | 36.1 (4.17) | 36.3 (4.09) |
Mediana [Q1,Q3] | 35.4 [33.7, 39.2] | 36.0 [34.5, 39.3] | 35.8 [33.9, 39.2] |
CV%, [Rango] | 11.2%, [29.3, 46.5] | 11.6%, [26.1, 46.5] | 11.3%, [26.1, 46.5] |
PIE | |||
Mean (SD) | 0.135 (0.187) | 0.0369 (0.0280) | 0.0871 (0.143) |
Mediana [Q1,Q3] | 0.0700 [0.0400, 0.160] | 0.0400 [0.0200, 0.0400] | 0.0400 [0.0200, 0.0700] |
CV%, [Rango] | 138.3%, [0.0200, 1.00] | 75.8%, [0.00800, 0.160] | 164.0%, [0.00800, 1.00] |
MANO | |||
Mean (SD) | 0.0279 (0.0259) | 0.0448 (0.158) | 0.0361 (0.111) |
Mediana [Q1,Q3] | 0.0200 [0.0200, 0.0200] | 0.0200 [0.00800, 0.0200] | 0.0200 [0.00800, 0.0200] |
CV%, [Rango] | 92.8%, [0.00800, 0.160] | 352.1%, [0.00800, 1.00] | 308.0%, [0.00800, 1.00] |
ANOD | |||
Mean (SD) | 0.0248 (0.0211) | 0.0343 (0.0353) | 0.0294 (0.0291) |
Mediana [Q1,Q3] | 0.0200 [0.00800, 0.0200] | 0.0200 [0.00800, 0.0400] | 0.0200 [0.00800, 0.0400] |
CV%, [Rango] | 85.1%, [0.00600, 0.0700] | 103.1%, [0.00800, 0.160] | 99.0%, [0.00600, 0.160] |
ANAI | |||
Mean (SD) | 0.0247 (0.0219) | 0.0234 (0.0278) | 0.0241 (0.0248) |
Mediana [Q1,Q3] | 0.0200 [0.00800, 0.0400] | 0.0200 [0.00800, 0.0200] | 0.0200 [0.00800, 0.0400] |
CV%, [Rango] | 88.8%, [0.00800, 0.0700] | 118.7%, [0.00800, 0.160] | 103.1%, [0.00800, 0.160] |
VAGD | |||
Mean (SD) | 0.0212 (0.0268) | 0.0171 (0.0139) | 0.0192 (0.0215) |
Mediana [Q1,Q3] | 0.00800 [0.00800, 0.0200] | 0.00800 [0.00800, 0.0200] | 0.00800 [0.00800, 0.0200] |
CV%, [Rango] | 126.7%, [0.00800, 0.160] | 81.4%, [0.00800, 0.0700] | 112.0%, [0.00800, 0.160] |
VAGI | |||
Mean (SD) | 0.0170 (0.0147) | 0.0169 (0.0133) | 0.0169 (0.0139) |
Mediana [Q1,Q3] | 0.00800 [0.00800, 0.0200] | 0.00800 [0.00800, 0.0200] | 0.00800 [0.00800, 0.0200] |
CV%, [Rango] | 86.3%, [0.00800, 0.0700] | 79.0%, [0.00800, 0.0700] | 82.3%, [0.00800, 0.0700] |
CLIT | |||
Mean (SD) | 0.0221 (0.0185) | 0.0174 (0.0119) | 0.0199 (0.0157) |
Mediana [Q1,Q3] | 0.0200 [0.00800, 0.0200] | 0.00800 [0.00800, 0.0200] | 0.0200 [0.00800, 0.0200] |
CV%, [Rango] | 83.6%, [0.00800, 0.0700] | 68.5%, [0.00800, 0.0400] | 79.3%, [0.00800, 0.0700] |
PARTOS | |||
Mean (SD) | NA | 0.564 (0.502) | 0.564 (0.502) |
Mediana [Q1,Q3] | NA | 1.00 [0.00, 1.00] | 1.00 [0.00, 1.00] |
CV%, [Rango] | NA | 89.1%, [0.00, 1.00] | 89.1%, [0.00, 1.00] |
Missing | 41 (100%) | 0 (0%) | 41 (51.2%) |
TIPO | |||
Mean (SD) | NA | 1.03 (1.11) | 1.03 (1.11) |
Mediana [Q1,Q3] | NA | 1.00 [0.00, 2.00] | 1.00 [0.00, 2.00] |
CV%, [Rango] | NA | 108.4%, [0.00, 3.00] | 108.4%, [0.00, 3.00] |
Missing | 41 (100%) | 0 (0%) | 41 (51.2%) |
EPISIOTOMIA | |||
Mean (SD) | NA | 0.333 (0.478) | 0.333 (0.478) |
Mediana [Q1,Q3] | NA | 0.00 [0.00, 1.00] | 0.00 [0.00, 1.00] |
CV%, [Rango] | NA | 143.3%, [0.00, 1.00] | 143.3%, [0.00, 1.00] |
Missing | 41 (100%) | 0 (0%) | 41 (51.2%) |
CIRUGIA | |||
0 | 0 (0%) | 15 (38.5%) | 15 (18.8%) |
CESAREA-LEGRADO | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
CESAREA-LIBERACION PIRAMIDAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
CIRUGIA CANCER RECTO | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
ESTRABISMOS | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
FISURA ANAL,HEMORROIDES | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
HEMORROIDECTOMIA-ESFINTEROTOMIA-QISTE UTERO-CESAREA | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
HERNIA INGUINAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
HISTERECTOMIA | 0 (0%) | 2 (5.1%) | 2 (2.5%) |
LAPAROSCOPIA | 0 (0%) | 2 (5.1%) | 2 (2.5%) |
LEGRADO-LAPAROSCOPIA | 0 (0%) | 2 (5.1%) | 2 (2.5%) |
LIPOSUCION-ABDOMINAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
MALLAS IU | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
PECHO-IVE | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
PUDENDOS-LAPAROSCOPIA | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
QUISTE-RECTAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
RTU-RESECCION URETRAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
SUTURAPERINEAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
TABIQUE-VAGINAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
URETER | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
Missing | 41 (100%) | 2 (5.1%) | 43 (53.8%) |
REGLA | |||
Mean (SD) | NA | 0.270 (0.450) | 0.270 (0.450) |
Mediana [Q1,Q3] | NA | 0.00 [0.00, 1.00] | 0.00 [0.00, 1.00] |
CV%, [Rango] | NA | 166.6%, [0.00, 1.00] | 166.6%, [0.00, 1.00] |
Missing | 41 (100%) | 2 (5.1%) | 43 (53.8%) |
ENFERMEDAD_ACTUAL | |||
COXIGODINEA | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DIPAREUNIA | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DISPAREUNIA | 0 (0%) | 11 (28.2%) | 11 (13.8%) |
DISPAREUNIA-MIGRAÑAS | 0 (0%) | 2 (5.1%) | 2 (2.5%) |
DISPAREUNIA SUPERFICIAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DISPREUNIA | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DOLOR | 0 (0%) | 6 (15.4%) | 6 (7.5%) |
DOLOR ANAL | 0 (0%) | 2 (5.1%) | 2 (2.5%) |
DOLOR CICATRIZ | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DOLOR DEFECATORIO | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DOLOR VESICAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
DPC | 0 (0%) | 4 (10.3%) | 4 (5.0%) |
ENDOMETRIOSIS | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
ENDOMETRIOSIS-DISMENORREA PRIEMARIA | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
ESTENOSIS VAGINAL-INCONTINENCIA RECTAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
IU-HIPERTONIA VAGINAL-RECTAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
NEURALGIA PUDENDO | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
VULVODINIA | 0 (0%) | 2 (5.1%) | 2 (2.5%) |
Missing | 41 (100%) | 0 (0%) | 41 (51.2%) |
MEDICAMENTOS | |||
0 | 0 (0%) | 16 (41.0%) | 16 (20.0%) |
1 | 0 (0%) | 13 (33.3%) | 13 (16.2%) |
AINE OCASIONAL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
AMITRIPTILINA-TRAMADOL | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
ANALGESICOS-AINES | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
BLISSEL-GEL-ESTRÓGENOS | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
CIDINE, NEXIUM | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
ESTROGENOS | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
HIDROFEROL,LORAZEPAM,VITC,GINGO BILOBA,ALPRAZOLAM,EXCITALOPRAM | 0 (0%) | 1 (2.6%) | 1 (1.2%) |
Missing | 41 (100%) | 3 (7.7%) | 44 (55.0%) |
IU | |||
0 | 0 (0%) | 32 (82.1%) | 32 (40.0%) |
1 | 0 (0%) | 7 (17.9%) | 7 (8.8%) |
Missing | 41 (100%) | 0 (0%) | 41 (51.2%) |
Esos IMC on ridículos. Solo habéis mirado gordas? No me creo que solo hayáis cogido a mujeres que no perdonan una merienda.
En fin, vamos a ponerles algunos “p” a la comparación:
rndr <- function(x, name, ...) {
if (length(x) == 0) {
y <- df[[name]]
s <- rep("", length(render.default(x=y, name=name, ...)))
if (is.numeric(y)) {
p <- t.test(y ~ df$grupo)$p.value
} else {
p <- chisq.test(table(y, droplevels(df$grupo)))$p.value
}
s[2] <- sub("<", "<", format.pval(p, digits=3, eps=0.001))
s
} else {
render.default(x=x, name=name, ...)
}
}
rndr.strat <- function(label, n, ...) {
ifelse(n==0, label, render.strat.default(label, n, ...))
}
df$grupo=factor(df$grupo,levels=c(0,1,2),labels=c("0","1","p-valor"))
table1( ~ edad+ESTATURA+PESO+IMC+PIE+MANO+ANOD+ANAI+VAGD+VAGI+CLIT|grupo,
data=df, droplevels=F, render=rndr, render.strat=rndr.strat, overall=F)
0 (n=41) |
1 (n=39) |
p-valor | |
---|---|---|---|
edad | |||
Mean (SD) | 27.9 (4.24) | 41.8 (10.5) | <0.001 |
Median [Min, Max] | 27.0 [23.0, 43.3] | 40.5 [20.4, 63.8] | |
ESTATURA | |||
Mean (SD) | 1.65 (0.0491) | 1.65 (0.0610) | 0.999 |
Median [Min, Max] | 1.64 [1.57, 1.77] | 1.64 [1.54, 1.78] | |
PESO | |||
Mean (SD) | 60.1 (7.01) | 59.6 (6.96) | 0.74 |
Median [Min, Max] | 59.0 [49.0, 75.0] | 60.0 [41.0, 73.5] | |
IMC | |||
Mean (SD) | 36.4 (4.06) | 36.1 (4.17) | 0.746 |
Median [Min, Max] | 35.4 [29.3, 46.5] | 36.0 [26.1, 46.5] | |
PIE | |||
Mean (SD) | 0.135 (0.187) | 0.0369 (0.0280) | 0.00186 |
Median [Min, Max] | 0.0700 [0.0200, 1.00] | 0.0400 [0.00800, 0.160] | |
MANO | |||
Mean (SD) | 0.0279 (0.0259) | 0.0448 (0.158) | 0.512 |
Median [Min, Max] | 0.0200 [0.00800, 0.160] | 0.0200 [0.00800, 1.00] | |
ANOD | |||
Mean (SD) | 0.0248 (0.0211) | 0.0343 (0.0353) | 0.155 |
Median [Min, Max] | 0.0200 [0.00600, 0.0700] | 0.0200 [0.00800, 0.160] | |
ANAI | |||
Mean (SD) | 0.0247 (0.0219) | 0.0234 (0.0278) | 0.818 |
Median [Min, Max] | 0.0200 [0.00800, 0.0700] | 0.0200 [0.00800, 0.160] | |
VAGD | |||
Mean (SD) | 0.0212 (0.0268) | 0.0171 (0.0139) | 0.391 |
Median [Min, Max] | 0.00800 [0.00800, 0.160] | 0.00800 [0.00800, 0.0700] | |
VAGI | |||
Mean (SD) | 0.0170 (0.0147) | 0.0169 (0.0133) | 0.974 |
Median [Min, Max] | 0.00800 [0.00800, 0.0700] | 0.00800 [0.00800, 0.0700] | |
CLIT | |||
Mean (SD) | 0.0221 (0.0185) | 0.0174 (0.0119) | 0.179 |
Median [Min, Max] | 0.0200 [0.00800, 0.0700] | 0.00800 [0.00800, 0.0400] |