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ASSIGNMENT 3 Write a code that contains the answers of the questions given below and save your file by using your name Name.R .
ASSIGNMENT
Write a code that contains the answers of the questions given below and save your file by using your
name "Name.R Send me the R file.
Add a comment line that contains your name, surname, student ID and department.
Draw a BoxandWhisker Plot by using iris dataset Petal length vs Species
Show the boxplot of each species at the same plot.
Label and axes. Give a title to the chart.
Show all the necessary information to build the box plots in a list.
Save your plot by using appropriate codes. The name of the file will be "NameBoxPlot.pngie
SezaBoxPlot.png Width and height of the chart should be and respectively.
Draw a Histogram by using iris dataset Frequency vs Petal length
Set the color of the histogram as red.
Label and axes. Give a title to the chart.
Show all the necessary information to build the histogram in a list.
Save your plot by using appropriate codes. The name of the file will be "NameHistogram.pngie
SezaHistogram.png Width and beight of the chart should be and respectively.
Create a dataframe called Name.Iris ie Seza.Iris by assigning all the content in the iris dataset.
Create a file called "Name.csvie Seza.csv by using "write.csv command. The fill should contain
the data frame you created.
Use "Read.csv command to assign the data in the "Name.csv file to a dataframe named "Name".
Use str command to check the structure of the "Name" dataframe.
Use summary command to check the descriptive statistics of the "Name" dataframe.
Create education and test sets by using iris data set.
Use set seed command to generate the same random numbers.
The sample size of the test set will be The remaining data will be at the education set.
The name of the test set will be "Name.test" ie Seza.test
The name of the education set will be "Name.education" ie Seza.education
Create a linear model by using iris data set.
Dependent variable will be Sepal Length.
All the other variables will be independent variables.
The name of the model will be Name.modelie Seza.model
Show the summary of the model.
Create a linear model by using iris data set.
Dependent variable will be Sepal Length.
All the other variables except species will be independent variables.
The name of the model will be Name.modelie Seza.model
Show the summary of the model.
Create a linear model by using iris data set.
Dependent variable will be Sepal Length. Sepal Width will be the independent variable.
The name of the model will be Name.modelie Seza.model
Show the summary of the model.
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