Homework (5 points): Due Friday Sept 15 @ 8pm

1. Create an R Markdown Document

Create a new R Markdown document. Name it: youLastName-yourFirstName-week02.rmd

2. Add the Text That You Wrote Last Week About the Flood Events

Add the text that you wrote for the first homework assignment to the top of your report. Then think about where in that text the plots below might fit best to better describe the events that occurred during the 2013 floods.

3. Add 4 Plots to Your R Markdown Document

Add the plots described below to your R Markdown file. IMPORTANT Please add a figure caption to each plot that describes the contents of the plot.

Add the code to produce the following 4 plots in your R Markdown document, using the homework lessons as a guide to walk you through. Use the pipes syntax that you learned in class to subset and summarize the data as required.

Use the data/week-02/precipitation/805325-precip-dailysum-2003-2013.csv file to create:

• PLOT 1: a plot of precipitation from 2003 to 2013 using the ggplot() function.
• PLOT 2: a plot that shows precipitation SUBSETTED from Aug 15 - Oct 15 2013 using the ggplot() function.

Use the data/week-02/discharge/06730200-discharge-daily-1986-2013.csv file to create:

• PLOT 3: a plot of stream discharge from 1986 to 2013 using ggplot() function.
• PLOT 4: a plot that shows stream discharge SUBSETTED from Aug 15 - Oct 15 2013 using the ggplot() function.

For all your plots be sure to do the following

Label Plots Appropriately

Be sure that each plot has:

1. A figure caption that describes the contents of the plot.
2. X and Y axis labels that include appropriate units.
3. A carefully composed title that describes the contents of the plot.

Below each plot, describe and interpret what the plot shows. Describe how the data demonstrate an impact and / or a driver of the 2013 flood event.

Write Clean Code

Be sure that your code follows the style guidelines outlined in the write clean code lessons

Be sure to:

• Label each plot clearly. This includes a title, x and y axis labels.
• Write clean code. This includes comments that document / describe the steps you take in your code and clean syntax following Hadley Wickham’s style guide.
• Convert date fields as appropriate.
• Clean no data values as appropriate.
• Show all of your code in the output .html file.

4. Graduate Students: Add a 5th Plot to Your .Rmd File

In addition to the plots above, add a plot of precipitation that spans from 1948 - 2013 using the 805333-precip-daily-1948-2013.csv file. For your plot be sure to:

1. Subset the data temporally: Jan 1 2013 - Oct 15 2013.
2. Summarize the data: plot DAILY total (sum) precipitation.
3. Important: be sure to set the time zone as you are dealing with dates and times which are impacted by daylight saving time. Add: tz = "America/Denver" to any statements involving time - but specifically to the line of code where you convert date / time to just a date!

Use the bonus lesson to guide you through creating this plot.

Bonus Points (For Grads and Undergrads)

Bonus Opportunity 1 (1 point): Generate and add to your report the plot of precipitation for 1948 - 2013 described above (required for all graduate students).

Then, receive a bonus point for:

1. Identifying an anomaly or change in the data that you can clearly see when you plot it.
2. Suggesting how to address that anomaly in R to make a more uniform looking plot.

Bonus opportunity 2 (1 point): Create an interactive plot with a slider (range selector) using dygraphs

Final Submission

When you are happy with your report, convert your R Markdown file into .html format report using knitr. Submit your final report to the d2l drop box in both .html and .Rmd