#' @title Estadisticos Descriptivos Variables Continuas
#' @description Entrega un resumen descriptivo de las variables continuas de una base de datos.
#' Permite la obtención del Numero de datos, Promedio, Suma, Desviacion Estandar,
#' Coeficiente de Variacion, Asimetria, Curtosis, Minimo, Maximo y Cuartiles.
#' @param base Nombre de la base de datos.
#' @references Casella, G. (1990). Statistical Inference. Duxburry Press.
#' @examples
#' data("albahaca")
#' descriptive.continue(albahaca)
#' @export
#'
descriptive.continue<-function(base)
{
nmcols <- colnames(base)
cont <- c() # selecciona las variables numericas
for(nm in nmcols){
dt.typ <- class(base[[nm]])
if(dt.typ=="numeric" | dt.typ=="integer"){
cont <- c(cont, c(nm))
}}
nvar<-length(cont)
x<-matrix(ncol=12,nrow=nvar)
i<-1 #numero variables
while(i<=nvar){
x[i,1]<-round(length(base[[cont[i]]])) #N
x[i,2]<-round(promedio(base[[cont[i]]]),3) #media
x[i,3]<-round(suma(base[[cont[i]]]),3) #suma
x[i,4]<-round(std(base[[cont[i]]]),3) #std
x[i,5]<-round(coeficiente.variacion(base[[cont[i]]]),3) #std
x[i,6]<-round(asimetria.fisher(base[[cont[i]]],'NO'),3)#asimetria
x[i,7]<-round(curtosis(base[[cont[i]]],'NO'),3)
x[i,8]<-round(minimo(base[[cont[i]]]),3)
x[i,9]<-round(maximo(base[[cont[i]]]),3)
n<-length(base[[cont[i]]])
y<-base[[cont[i]]]
m<-n%%2
if(m!=0){
c1<-((n*1)/4)
Q1<-y[c1]
c2<-((n*2)/4)
Q2<-y[c2]
c3<-((n*3)/4)
Q3<-y[c3]}
else{
c1<-trunc((n*1)/4)
Q1<-round(((y[c1]+y[c1+1])/2),2)
c2<-trunc((n*2)/4)
Q2<-round(((y[c2]+y[c2+1])/2),2)
c3<-trunc((n*3)/4)
Q3<-round(((y[c3]+y[c3+1])/2),2)}
x[i,10]<-round(Q1,3)#cuartil 1
x[i,11]<-round(Q2,3)#cuartil 2
x[i,12]<-round(Q1,3)#cuartil 3
i<-i+1}
dimnames(x)<-list(cont,c("n","promedio","suma","std","CV"
,"asimetria","curtosis","minimo","maximo"
,"Q1","Q2","Q3"))
print(x)
}
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