# Load the 2017NBADraft2.txt data set into R. a Create a histogram (...

## Question

Load the 2017NBADraft2.txt data set into R.
a Create a histogram (with appropriate title) on the Height variable.
b Create a multiple boxplot (with appropriate title) comparing height between the diﬀerent positions. c Create a scatter plot with height on the x-axis and wingspan on the y-axis.
d Create a scatter plot with a ﬁtted loess curve for height (x-axis) and weight (y-axis).
e Create a scatter plot matrix using the four numeric variables in the data set (including birthdate).

Load the DuckSurvival2.txt data set into R.
a Create a histogram (with appropriate title) for wing length. Report the output.
b Create a multiple boxplot (with appropriate title) comparing wing length between ducks with
diﬀerent statuses. Report the output.
c Which status group has the largest median? How can you tell based on the boxplots?
d Create a scatter plot matrix comparing the survival time, body weight, and wing length (and only those variables) to each other. Report the output.

## Solution Preview

These solutions may offer step-by-step problem-solving explanations or good writing examples that include modern styles of formatting and construction of bibliographies out of text citations and references. Students may use these solutions for personal skill-building and practice. Unethical use is strictly forbidden.

library(ggplot2)

dat <- read.csv("2017NBADraft2.txt")

g <- ggplot(dat, aes(x = Height))
g + geom_histogram() + xlab("Height") + ylab("Count") + ggtitle("Histogram of Draft's Height")

g <- ggplot(dat, aes(x = Position, y = Height))
g + geom_boxplot() + ggtitle("Boxplot of Height for each Position") + xlab("Position") + ylab("Height")

g <- ggplot(dat, aes(x = Height, y = Wingspan))
g + geom_point() + xlab("Height") + ylab("Wingspan") + ggtitle("Scatter plot of Height and Wingspan")

g <- ggplot(dat, aes(x = Height, y = Weight))
g + geom_point() + xlab("Height") + geom_smooth(method = "loess") + ylab("Weight") + ggtitle("Scatter plot of Height and Weight with loess curve")...

By purchasing this solution you'll be able to access the following files:
Solution.zip.

\$20.00
for this solution

or FREE if you
register a new account!

PayPal, G Pay, ApplePay, Amazon Pay, and all major credit cards accepted.

### Find A Tutor

View available Statistics-R Programming Tutors

Get College Homework Help.

Are you sure you don't want to upload any files?

Fast tutor response requires as much info as possible.

SUBMIT YOUR HOMEWORK
We couldn't find that subject.
Please select the best match from the list below.

We'll send you an email right away. If it's not in your inbox, check your spam folder.

• 1
• 2
• 3
Live Chats