R Script Homework 4 Using RStudio, create a new R script and save it as: "CMSC4103 Your Name HWAR". For student Jo Doe, the file would be named "CMSC4103 JohnDoe HWAR". Then do the following: 1) Create or read an existing data frame containing a) A character column that acts as a label and has unique values in each row b) 2 or more numeric columns on the same scale (eg prices, counts, test scores, etc.) 2) Find the mean, standard deviation, and interquartile range of both original numeric variables, allowing for missing values. 3) Create a new variable that is a function of the 2 numeric variables. 4) Create a rank variable for at least 1 numeric variable. 5) Use gplot2 to: a) Create a "publication ready" plot of 2 or more variables to help explain the data.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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R Script Homework 4
Using RStudio, create a new R script and save it as: "CMSC4103 Your Name HW4 R. For student John
Doe, the file would be named "CMSC4103_JohnDoe HWAR". Then do the following:
1) Create or read an existing data frame containing
a) A character column that acts as a label and has unique values in each row
b) 2 or more numeric columns on the same scale (eg prices, counts, test scores, etc.)
C
2) Find the mean, standard deviation, and interquartile range of both original numeric variables,
allowing for missing values.
3) Create a new variable that is a function of the 2 numeric variables.
4) Create a rank variable for at least 1 numeric variable.
5) Use ggplot2 to:
a) Create a "publication ready" plot of 2 or more variables to help explain the data.
b) Create a "publication ready" plot that includes at least one rank variable to help explain the
data
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Transcribed Image Text:R Script Homework 4 Using RStudio, create a new R script and save it as: "CMSC4103 Your Name HW4 R. For student John Doe, the file would be named "CMSC4103_JohnDoe HWAR". Then do the following: 1) Create or read an existing data frame containing a) A character column that acts as a label and has unique values in each row b) 2 or more numeric columns on the same scale (eg prices, counts, test scores, etc.) C 2) Find the mean, standard deviation, and interquartile range of both original numeric variables, allowing for missing values. 3) Create a new variable that is a function of the 2 numeric variables. 4) Create a rank variable for at least 1 numeric variable. 5) Use ggplot2 to: a) Create a "publication ready" plot of 2 or more variables to help explain the data. b) Create a "publication ready" plot that includes at least one rank variable to help explain the data $ C 4 E R F Search or type URL 5 : T 6 Y G H 49 & 7 ★ U 8 1 9 J K 0
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