library(dplyr)
datosParamo <- (read.csv("evidenciaTotal.dat",sep=" ",skip=1,header=F))
head(datosParamo)
tail(datosParamo)
datosParamo$V1 <- as.factor(datosParamo$V1)
resumen <- datosParamo %>% group_by(V1) %>%
summarise(conteoOcurrencias = length(V1))
listadoEspecies <- levels(datosParamo$V1)
datos <- datosParamo[datosParamo$V1 == listadoEspecies[1],]
datos[,-1]
cosasSp <- function(sp, base=datosParamo){
datosSp <- mean(dist(base[base$V1 == sp,-1]))
cat(sp,"\t",datosSp,"\n")
##return(datosSp)
}
lapply(listadoEspecies,cosasSp,base=datosParamo)
summary(resumen$conteoOcurrencias)
#qplot(resumen$conteoOcurrencias)
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