The R statement data( iris ) loads the built-in R data set iris . This dataset h

Question

The R statement data(iris) loads the built-in R data set iris. This dataset has 150 rows and 5 columns. The 5 column names are
"Sepal.Length","Sepal.Width","Petal.Length","Petal.Width" and "Species"Write R code(s) to find the average values of Sepal.Length (the first column) for three species “setosa”, “versicolor”, and “virginica” (the fifth column), respectively.

The returned results should be as follows:

setosaver

sicolor

virginica

5.006

5.936

6.588

COS-206-data.csv is a text file that contains comma-separated values (CSV).

Write R code(s) to Read the contents of COS-206-data.csv and store them in a data frame calleddata.

setosaver

sicolor

virginica

5.006

5.936

6.588

Explanation / Answer

For task 1 script is as follows

data(iris)

//extracting the rows from dataframe for species setosa

setosa<-iris[iris$Species=='setosa',]

//storing the sepal lengths of all setosa specie in a different variable
setosa.sl<-setosa$Sepal.Length

versicolor<-iris[iris$Species=='versicolor',]

versicolor.sl=versicolor$Sepal.Length
virginica<-iris[iris$Species=='virginica',]
virginica.sl<-virginica$Sepal.Length

avgSetosa<-c("setosaver",mean(setosa.sl))

avgVersiColor<-c("sicolor",mean(versicolor.sl))

avgVirginica<-c("virginica",mean(virginica.sl))

//Creating a data frame with 3 vectors of heading and average sepal length of mentioned species

avgSepalLength<-data.frame(avgSetosa,avgVersiColor,avgVirginica)

//Displaying the data frame with the results

avgSepalLength

Task 2

First set your working directory to the place where your file is stored in your system

for setting up wd use setwd(file location) ,where file location is the address of your csv files directory

after that just read the csv using read.csv in a data named dataframe.

data=read.csv("COS-206-data.csv ")

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