source("/Users/mauriciogutierrez/Library/Mobile Documents/com~apple~CloudDocs/estadisticas/general_functions_new.R")
## Loading required package: XLConnectJars
## XLConnect 0.2-11 by Mirai Solutions GmbH [aut],
## Martin Studer [cre],
## The Apache Software Foundation [ctb, cph] (Apache POI, Apache Commons
## Codec),
## Stephen Colebourne [ctb, cph] (Joda-Time Java library)
## http://www.mirai-solutions.com ,
## http://miraisolutions.wordpress.com
## Loading required package: reshape2
## Loading required package: stringr
data=readexcel("/Users/mauriciogutierrez/Library/Mobile Documents/com~apple~CloudDocs/estadisticas/Gabriela_Mintegui/incidentaloma.xlsx","Hoja1")
labelsexo=c("Femenino","Masculino")
labelimagendiagnostico=c("Eco","TAC","RNM")
labelmotivoimagen=c("Renal","Digestiva","Lumbalgia","Otros")
labellateralidad=c("Unilateral","Bilateral")
labeldicotomico=c("No","Si")
labelparaclinica=c("No","Si","No Solicitada","Pendiente")
#============================================================= Análisis Exploratorio
freq(data,data$sexo,labelsexo,using_na=T)



##
## absolute relative cumulative ici ics
## Femenino 32 76.19 76.19 60.55 87.95
## Masculino 10 23.81 100 12.05 39.45
## Total 42 100.00
means(data,data$edad_diagnostico)
##
## edad_diagnostico
## n 42
## Mean 57.88
## Median 58
## Sd 8.04
## Min 39
## Max 74
## Range 35
## Q1 52.25
## Q3 63
## Iqr 10.75
## Normality 0.968
## ICI 57.8
## SCI 57.96
## Summary Mean[ICI-ICS] --> 57.88(57.8-57.96)


freq(data,data$anio_diagnostico,pie=F,using_na=T)


##
## absolute relative cumulative ici ics
## 2005 3 7.14 7.14 1.5 19.48
## 2006 1 2.38 9.52 0.06 12.57
## 2007 1 2.38 11.9 0.06 12.57
## 2008 3 7.14 19.05 1.5 19.48
## 2009 3 7.14 26.19 1.5 19.48
## 2010 6 14.29 40.48 5.43 28.54
## 2011 5 11.9 52.38 3.98 25.63
## 2012 3 7.14 59.52 1.5 19.48
## 2013 4 9.52 69.05 2.66 22.62
## 2014 8 19.05 88.1 8.6 34.12
## 2015 5 11.9 100 3.98 25.63
## Total 42 100.00
freq(data,data$metodo_imagen_diagnostico,labelimagendiagnostico,using_na=T)



##
## absolute relative cumulative ici ics
## Eco 7 16.67 16.67 6.97 31.36
## TAC 32 76.19 92.86 60.55 87.95
## RNM 3 7.14 100 1.5 19.48
## Total 42 100.00
freq(data,data$motivo_imagen,labelmotivoimagen,using_na=T)



##
## absolute relative cumulative ici ics
## Renal 10 23.81 23.81 12.05 39.45
## Digestiva 20 47.62 71.43 32 63.58
## Lumbalgia 5 11.9 83.33 3.98 25.63
## Otros 7 16.67 100 6.97 31.36
## Total 42 100.00
freq(data,data$lateralidad,labellateralidad,using_na=T)



##
## absolute relative cumulative ici ics
## Unilateral 36 85.71 85.71 71.46 94.57
## Bilateral 6 14.29 100 5.43 28.54
## Total 42 100.00
means(data,data$tamanio_diagnostico)
##
## tamanio_diagnostico
## n 41
## Mean 21.3
## Median 18
## Sd 11.66
## Min 6
## Max 60
## Range 54
## Q1 13
## Q3 26
## Iqr 13
## Normality 0.001
## ICI 21.19
## SCI 21.42
## Summary Median[Q1-Q3] -->18(13-26)


freq(data,data$crecimiento_en_evolucion,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 23 54.76 54.76 38.67 70.15
## Si 8 19.05 73.81 8.6 34.12
## Missing 11 26.19 100.00 13.86 42.04
## Total 31 100.00
crecieron=data[which(data$crecimiento_en_evolucion==1),]
means(crecieron,crecieron$crecimiento)
##
## crecimiento
## n 8
## Mean 6.25
## Median 5.5
## Sd 3.85
## Min 2
## Max 14
## Range 12
## Q1 3.75
## Q3 7.5
## Iqr 3.75
## Normality 0.403
## ICI 6.16
## SCI 6.34
## Summary Mean[ICI-ICS] --> 6.25(6.16-6.34)


#freq(data,data$clu_diagnostico,labelparaclinica,using_na=T)
data$clu_diagnostico_recodificado=ifelse(data$clu_diagnostico==1|data$clu_diagnostico==0,2,data$clu_diagnostico)
freq(data,data$clu_diagnostico_recodificado,c("Realizado","No Solicitado","Pendiente"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 12 28.57 28.57 15.72 44.58
## No Solicitado 29 69.05 97.62 52.91 82.38
## Pendiente 1 2.38 100 0.06 12.57
## Total 42 100.00
realizoclu=data[which(data$clu_diagnostico<2),]
freq(realizoclu,realizoclu$clu_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 11 91.67 91.67 61.52 99.79
## Si 1 8.33 100 0.21 38.48
## Total 12 100.00
#freq(data,data$nugent_diagnostico,labelparaclinica,using_na=T)
data$nugent_diagnostico_recodificado=ifelse(data$nugent_diagnostico==1|data$nugent_diagnostico==0,2,data$nugent_diagnostico)
freq(data,data$nugent_diagnostico_recodificado,c("Realizado","No solicitado","Pendiente"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 35 83.33 83.33 68.64 93.03
## No solicitado 3 7.14 90.48 1.5 19.48
## Pendiente 4 9.52 100 2.66 22.62
## Total 42 100.00
realizonugent=data[which(data$nugent_diagnostico<2),]
freq(realizonugent,realizonugent$nugent_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 30 85.71 85.71 69.74 95.19
## Si 5 14.29 100 4.81 30.26
## Total 35 100.00
#freq(data,data$cortisol_salival_diagnostico,c("No","Si","No Solicitada"),using_na=T)
data$cortisol_salival_diagnostico_recodificado=ifelse(data$cortisol_salival_diagnostico==1|data$cortisol_salival_diagnostico==0,2,data$cortisol_salival_diagnostico)
freq(data,data$cortisol_salival_diagnostico_recodificado,c("Realizado","No solicitado"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 4 9.52 9.52 2.66 22.62
## No solicitado 38 90.48 100 77.38 97.34
## Total 42 100.00
realizocortisolsalival=data[which(data$cortisol_salival_diagnostico<2),]
freq(realizocortisolsalival,realizocortisolsalival$cortisol_salival_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 2 50 50 6.76 93.24
## Si 2 50 100 6.76 93.24
## Total 4 100.00
#freq(data,data$catecolaminas_diagnostico,c("No","Si","Pendiente"),using_na=T)
data$catecolaminas_diagnostico_recodificado=ifelse(data$catecolaminas_diagnostico==1|data$catecolaminas_diagnostico==0,2,data$catecolaminas_diagnostico)
freq(data,data$catecolaminas_diagnostico_recodificado,c("Realizado","Pendiente"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 37 88.1 88.1 74.37 96.02
## Pendiente 5 11.9 100 3.98 25.63
## Total 42 100.00
realizocatecolaminas=data[which(data$catecolaminas_diagnostico<2),]
freq(realizocatecolaminas,realizocatecolaminas$catecolaminas_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 36 97.3 97.3 85.84 99.93
## Si 1 2.7 100 0.07 14.16
## Total 37 100.00
#freq(data,data$metanefrinas_urinarias_diagnostico,c("No","Si","No Solicitada"),using_na=T)
data$metanefrinas_urinarias_recodificado=ifelse(data$metanefrinas_urinarias==1|data$metanefrinas_urinarias==0,2,data$metanefrinas_urinarias)
freq(data,data$metanefrinas_urinarias_recodificado,c("Realizado","No solicitado"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 7 16.67 16.67 6.97 31.36
## No solicitado 35 83.33 100 68.64 93.03
## Total 42 100.00
recolizometanefrinasurinarias=data[which(data$metanefrinas_urinarias_diagnostico<2),]
freq(recolizometanefrinasurinarias,recolizometanefrinasurinarias$metanefrinas_urinarias_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 6 85.71 85.71 42.13 99.64
## Si 1 14.29 100 0.36 57.87
## Total 7 100.00
#freq(data,data$aldosterona_diagnostico,labelparaclinica,using_na=T)
data$aldosterona_diagnostico_recodificado=ifelse(data$aldosterona_diagnostico==1|data$aldosterona_diagnostico==0,2,data$aldosterona_diagnostico)
freq(data,data$aldosterona_diagnostico_recodificado,c("Realizado","No solicitado","Pendiente"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 28 66.67 66.67 50.45 80.43
## No solicitado 10 23.81 90.48 12.05 39.45
## Pendiente 4 9.52 100 2.66 22.62
## Total 42 100.00
realizaoaldosterona=data[which(data$aldosterona_diagnostico<2),]
freq(realizaoaldosterona,realizaoaldosterona$aldosterona_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 26 92.86 92.86 76.5 99.12
## Si 2 7.14 100 0.88 23.5
## Total 28 100.00
#freq(data,data$aldosterona_arp_diagnostico,labelparaclinica,using_na=T)
data$aldosterona_arp_diagnostico_recodificado=ifelse(data$aldosterona_arp_diagnostico==1|data$aldosterona_arp_diagnostico==0,2,data$aldosterona_arp_diagnostico)
freq(data,data$aldosterona_arp_diagnostico_recodificado,c("Realizado","No solicitado","Pendiente"),using_na=T)



##
## absolute relative cumulative ici ics
## Realizado 28 66.67 66.67 50.45 80.43
## No solicitado 10 23.81 90.48 12.05 39.45
## Pendiente 4 9.52 100 2.66 22.62
## Total 42 100.00
realizoaldosteronaarp=data[which(data$aldosterona_arp_diagnostico<2),]
freq(realizoaldosteronaarp,realizoaldosteronaarp$aldosterona_arp_diagnostico,using_na=T,labeldicotomico)



##
## absolute relative cumulative ici ics
## No 26 92.86 92.86 76.5 99.12
## Si 2 7.14 100 0.88 23.5
## Total 28 100.00
freq(data,data$diagnostico_inicial,c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"),using_na=T)



##
## absolute relative cumulative ici ics
## No Funcionante 30 71.43 71.43 55.42 84.28
## Cushing Subclinico 5 11.9 83.33 3.98 25.63
## Feocromocitoma 4 9.52 92.86 2.66 22.62
## Aun no clasificados 3 7.14 100 1.5 19.48
## Total 42 100.00
nofuncionante=data[which(data$diagnostico_inicial==1),]
cushingsubclinico=data[which(data$diagnostico_inicial==3),]
feocromocitomas=data[which(data$diagnostico_inicial==4),]
otrosadenomas=data[which(data$diagnostico_inicial==8),]
freq(cushingsubclinico,cushingsubclinico$clu_diagnostico,c("No","No Solicitada","pendiente"),using_na=T)



##
## absolute relative cumulative ici ics
## No 3 60 60 14.66 94.73
## No Solicitada 1 20 80 0.51 71.64
## pendiente 1 20 100 0.51 71.64
## Total 5 100.00
freq(cushingsubclinico,cushingsubclinico$nugent_diagnostico,c("Si"),using_na=T)



##
## absolute relative cumulative ici ics
## Si 5 100 100 47.82 100
## Total 5 100.00
freq(cushingsubclinico,cushingsubclinico$cortisol_salival_diagnostico,c("Si","No solicitada"),using_na=T)



##
## absolute relative cumulative ici ics
## Si 2 40 40 5.27 85.34
## No solicitada 3 60 100 14.66 94.73
## Total 5 100.00
freq(feocromocitomas,feocromocitomas$catecolaminas_diagnostico,c("No","Si"),using_na=T)



##
## absolute relative cumulative ici ics
## No 3 75 75 19.41 99.37
## Si 1 25 100 0.63 80.59
## Total 4 100.00
freq(feocromocitomas,feocromocitomas$metanefrinas_urinarias_diagnostico,c("Si","No solicitada"),using_na=T)



##
## absolute relative cumulative ici ics
## Si 1 25 25 0.63 80.59
## No solicitada 3 75 100 19.41 99.37
## Total 4 100.00
freq(data,data$cirugia,labeldicotomico,using_na=T)



##
## absolute relative cumulative ici ics
## No 38 90.48 90.48 77.38 97.34
## Si 4 9.52 100 2.66 22.62
## Total 42 100.00
cirugia=data[which(data$cirugia==1),]
freq(cirugia,cirugia$via_cirugia,c("laparoscopica","laparotomia"),using_na=T)



##
## absolute relative cumulative ici ics
## laparoscopica 3 75 75 19.41 99.37
## laparotomia 1 25 100 0.63 80.59
## Total 4 100.00
freq(cirugia,cirugia$complicaciones_cirugia,labeldicotomico,using_na=T)



##
## absolute relative cumulative ici ics
## No 3 75 75 19.41 99.37
## Si 1 25 100 0.63 80.59
## Total 4 100.00
means(data,data$tiempo_seguimiento)
##
## tiempo_seguimiento
## n 42
## Mean 32.57
## Median 24
## Sd 26.83
## Min 0
## Max 108
## Range 108
## Q1 12
## Q3 57
## Iqr 45
## Normality 0.001
## ICI 32.31
## SCI 32.83
## Summary Median[Q1-Q3] -->24(12-57)


freq(data,data$hta,labeldicotomico,using_na=T)



##
## absolute relative cumulative ici ics
## No 11 26.19 26.19 13.86 42.04
## Si 31 73.81 100 57.96 86.14
## Total 42 100.00
freq(data,data$resonancia,labeldicotomico,using_na=T)



##
## absolute relative cumulative ici ics
## No 35 83.33 83.33 68.64 93.03
## Si 7 16.67 100 6.97 31.36
## Total 42 100.00
freq(data,data$housenfield,c("Menor o igual a 10","Entre 10 y 30","Mayor o igual a 30"))



##
## absolute relative cumulative ici ics
## Menor o igual a 10 17 40.48 40.48 25.63 56.72
## Entre 10 y 30 2 4.76 45.24 0.58 16.16
## Mayor o igual a 30 3 7.14 52.38 1.5 19.48
## Missing 20 47.62 100.00 32 63.58
## Total 22 100.00
freq(data,data$lavado,c("Menor a 50%","Mayor a 50%"))



##
## absolute relative cumulative ici ics
## Menor a 50% 2 4.76 4.76 0.58 16.16
## Mayor a 50% 6 14.29 19.05 5.43 28.54
## Missing 34 80.95 100.00 65.88 91.4
## Total 8 100.00
#============================================================= Análisis Inferencial
means(data,data$edad_diagnostico,data$diagnostico_inicial,c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"))
##
## diagnostico_inicial = No Funcionante
## n 30
## Mean 58.37
## Median 59
## Sd 7.65
## Min 39
## Max 73
## Range 34
## Q1 53.25
## Q3 63.75
## Iqr 10.5
## Normal 0.939
## IIC 58.28
## ICS 58.45
## Summary2 58.37 (58.28-58.45)
## Summary Mean[ICI-ICS]
## Groups Homocedastics
## Normality Yes
## Differences No
## p-value 0.089
## Method ANOVA
## diagnostico_inicial = Cushing Subclinico
## n 5
## Mean 54.6
## Median 56
## Sd 4.98
## Min 48
## Max 60
## Range 12
## Q1 51
## Q3 58
## Iqr 7
## Normal 0.678
## IIC 54.45
## ICS 54.75
## Summary2 54.6 (54.45-54.75)
## Summary
## Groups
## Normality
## Differences
## p-value
## Method
## diagnostico_inicial = Feocromocitoma
## n 4
## Mean 52
## Median 50
## Sd 8.37
## Min 45
## Max 63
## Range 18
## Q1 45.75
## Q3 56.25
## Iqr 10.5
## Normal 0.402
## IIC 51.72
## ICS 52.28
## Summary2 52 (51.72-52.28)
## Summary
## Groups
## Normality
## Differences
## p-value
## Method
## diagnostico_inicial = Aun no clasificados
## n 3
## Mean 66.33
## Median 71
## Sd 10.79
## Min 54
## Max 74
## Range 20
## Q1 62.5
## Q3 72.5
## Iqr 10
## Normal 0.266
## IIC 65.89
## ICS 66.77
## Summary2 66.33 (65.89-66.77)
## Summary
## Groups
## Normality
## Differences
## p-value
## Method

tables(data,data$diagnostico_inicial,data$lateralidad,labelx=c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"),labely=labellateralidad)
##
## lateralidad
## diagnostico_inicial Unilateral Bilateral Sum
## No Funcionante 27 3 30
## Cushing Subclinico 2 3 5
## Feocromocitoma 4 0 4
## Aun no clasificados 3 0 3
## Sum 36 6 42
##
## by Row (%)
## Unilateral Bilateral
## No Funcionante 90.00 10.00
## Cushing Subclinico 40.00 60.00
## Feocromocitoma 100.00 0.00
## Aun no clasificados 100.00 0.00
## 85.71 14.28
##
## by Col (%)
## Unilateral Bilateral
## No Funcionante 75.00 50 71.42
## Cushing Subclinico 5.55 50 11.90
## Feocromocitoma 11.11 0 9.52
## Aun no clasificados 8.33 0 7.14
##
## Fischer Test p = 0.047

means(data,data$tamanio_diagnostico,data$diagnostico_inicial,c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"))
##
## diagnostico_inicial = No Funcionante
## n 30
## Mean 19.8
## Median 16.25
## Sd 10.01
## Min 6
## Max 46
## Range 40
## Q1 13.25
## Q3 24
## Iqr 10.75
## Normal 0.004
## IIC 19.68
## ICS 19.92
## Summary2 16.25 (13.25-24)
## Summary Median[Q1-Q3]
## Groups Homocedastics
## Normality No
## Differences Yes
## p-value 0.039
## Method Kruskal-Wallis
## diagnostico_inicial = Cushing Subclinico
## n 5
## Mean 18.7
## Median 22
## Sd 7.5
## Min 9
## Max 26
## Range 17
## Q1 12.5
## Q3 24
## Iqr 11.5
## Normal 0.315
## IIC 18.48
## ICS 18.92
## Summary2 22 (12.5-24)
## Summary
## Groups
## Normality
## Differences
## p-value
## Method
## diagnostico_inicial = Feocromocitoma
## n 4
## Mean 40
## Median 36
## Sd 14.7
## Min 28
## Max 60
## Range 32
## Q1 29.5
## Q3 46.5
## Iqr 17
## Normal 0.374
## IIC 39.5
## ICS 40.5
## Summary2 36 (29.5-46.5)
## Summary
## Groups
## Normality
## Differences
## p-value
## Method
## diagnostico_inicial = Aun no clasificados
## n 2
## Mean 13
## Median 13
## Sd 4.24
## Min 10
## Max 16
## Range 6
## Q1 11.5
## Q3 14.5
## Iqr 3
## Normal -1
## IIC -1
## ICS -1
## Summary2 13 (11.5-14.5)
## Summary
## Groups
## Normality
## Differences
## p-value
## Method

tables(data,data$diagnostico_inicial,data$housenfield,labelx=c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"),labely=c("Menor o igual a 10","Entre 10 y 30","Mayor o igual a 30"))
##
## housenfield
## diagnostico_inicial Menor o igual a 10 Entre 10 y 30 Mayor o igual a 30
## No Funcionante 14 0 2
## Cushing Subclinico 3 1 0
## Feocromocitoma 0 1 1
## Aun no clasificados 0 0 0
## Sum 17 2 3
## housenfield
## diagnostico_inicial Sum
## No Funcionante 16
## Cushing Subclinico 4
## Feocromocitoma 2
## Aun no clasificados 0
## Sum 22
##
## by Row (%)
## Menor o igual a 10 Entre 10 y 30 Mayor o igual a 30
## No Funcionante 87.50 0.00 12.50
## Cushing Subclinico 75.00 25.00 0.00
## Feocromocitoma 0.00 50.00 50.00
## Aun no clasificados NaN NaN NaN
## 77.27 9.09 13.63
##
## by Col (%)
## Menor o igual a 10 Entre 10 y 30 Mayor o igual a 30
## No Funcionante 82.35 0 66.66
## Cushing Subclinico 17.64 50 0.00
## Feocromocitoma 0.00 50 33.33
## Aun no clasificados 0.00 0 0.00
##
## No Funcionante 72.72
## Cushing Subclinico 18.18
## Feocromocitoma 9.09
## Aun no clasificados 0.00
##
## Fischer Test p = 0.024

tables(data,data$diagnostico_inicial,data$lavado,labelx=c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"),labely=c("Menor a 50%","Mayor a 50%"))
##
## lavado
## diagnostico_inicial Menor a 50% Mayor a 50% Sum
## No Funcionante 2 5 7
## Cushing Subclinico 0 0 0
## Feocromocitoma 0 1 1
## Aun no clasificados 0 0 0
## Sum 2 6 8
##
## by Row (%)
## Menor a 50% Mayor a 50%
## No Funcionante 28.57 71.42
## Cushing Subclinico NaN NaN
## Feocromocitoma 0.00 100.00
## Aun no clasificados NaN NaN
## 25.00 75.00
##
## by Col (%)
## Menor a 50% Mayor a 50%
## No Funcionante 100 83.33 87.5
## Cushing Subclinico 0 0.00 0.0
## Feocromocitoma 0 16.66 12.5
## Aun no clasificados 0 0.00 0.0
##
## Fischer Test p > 0.999

tables(data,data$diagnostico_inicial,data$crecimiento_en_evolucion,labelx=c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"),labely=labeldicotomico)
##
## crecimiento_en_evolucion
## diagnostico_inicial No Si Sum
## No Funcionante 19 5 24
## Cushing Subclinico 1 2 3
## Feocromocitoma 3 1 4
## Aun no clasificados 0 0 0
## Sum 23 8 31
##
## by Row (%)
## No Si
## No Funcionante 79.16 20.83
## Cushing Subclinico 33.33 66.66
## Feocromocitoma 75.00 25.00
## Aun no clasificados NaN NaN
## 74.19 25.80
##
## by Col (%)
## No Si
## No Funcionante 82.60 62.5 77.41
## Cushing Subclinico 4.34 25.0 9.67
## Feocromocitoma 13.04 12.5 12.90
## Aun no clasificados 0.00 0.0 0.00
##
## Fischer Test p = 0.196

tables(data,data$diagnostico_inicial,data$cirugia,labelx=c("No Funcionante","Cushing Subclinico","Feocromocitoma","Aun no clasificados"),labely=labeldicotomico)
##
## cirugia
## diagnostico_inicial No Si Sum
## No Funcionante 30 0 30
## Cushing Subclinico 4 1 5
## Feocromocitoma 1 3 4
## Aun no clasificados 3 0 3
## Sum 38 4 42
##
## by Row (%)
## No Si
## No Funcionante 100.00 0.00
## Cushing Subclinico 80.00 20.00
## Feocromocitoma 25.00 75.00
## Aun no clasificados 100.00 0.00
## 90.47 9.52
##
## by Col (%)
## No Si
## No Funcionante 78.94 0 71.42
## Cushing Subclinico 10.52 25 11.90
## Feocromocitoma 2.63 75 9.52
## Aun no clasificados 7.89 0 7.14
##
## Fischer Test p < 0.001
