STAT 331 –Case #1 R basics and EDA

STAT 331 –Case #1 R basics and EDA

 

Each group will submit ONE WORD copy on Blackboard by Jul 15th with subject: STAT331 HW#-group#. Please include a cover page with all your group members. 

 

1. If you have problems installing R and R Studio on your laptop, please come to my office hours for help. 

 

 

2. Iris data: Random sample a data set that contains 90% of original data points. Iris data is available in the default library (use data(iris)). Write a brief report. 

 

You may follow the example in class (lab2), including the steps below:

 

• Summarize the data.

o For example, to summarize data, you use the R command 

            >summary(iris)

           to obtain a summary statistics and interpret briefly the variables, if

           they are quantitative or categorical, means, etc. 

 

• Plot histogram of one variable.

• Make a scatter plot on variables.

• Perform K-means clustering and interpret the results. 

• Perform Hierarchical clustering and interpret the results. 

 

Guidelines of report: Please organize and report the outputs (figures and tables etc.) with possibly some interpretation of outputs. Since there is no “standard process” that could apply to all situations in data analysis,  you can decide the use of tools learned in the class by yourself. You can either: (1) put all your codes in the appendix of your report; (2) or put them in the main part of your report with comments and explanations.