suman
28/9/17
This will predict species from input of length and height. training data iris required packages shiny,rsconnect and an account in shinyapps.io runApp() and then publish that is rpresent here
library(rpart)
library(e1071)
library(caret)
library(datasets)
calculatespecies <- function (sepal.length, petal.length,sepal.width,petal.width)
{
data(iris)
head(iris)
c<-train(Species~.,method="rpart",data=iris)
newdata<-data.frame(Sepal.Length=c(sepal.length),Petal.Length=c(petal.length),Sepal.Width=c(sepal.width),Petal.Width=c(petal.width))
result <- as.vector(predict(c,newdata))
}
User input length and width ofr sepal and petal and the server program will predict the species