Slidify for assignment

subtest

suman
se

Slide 2

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 slidify here

Slide 3

some R code of server

library(rpart)
library(e1071)

## Warning: package 'e1071' was built under R version 3.4.1

  library(caret)

## Warning: package 'caret' was built under R version 3.4.1

## Loading required package: lattice

## Loading required package: ggplot2

## Warning: package 'ggplot2' was built under R version 3.4.1

  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))

## Error in data.frame(Sepal.Length = c(sepal.length), Petal.Length = c(petal.length), : object 'sepal.length' not found

  result <- as.vector(predict(c,newdata))

## Error in predict.train(c, newdata): object 'newdata' not found

Slide 4

User input length and width

Slide 5

Thank you