Data Analysis

Code Shuffle

We are interested in understanding the monthly variation in precipitation in Gainesville, FL. We’ll use some data from the NOAA National Climatic Data Center.

Start by creating a data directory in the same directory as your homework scripts and then downloading the data and saving it to this data directory.

Each row of this data file is a year (from 1961-2013) and each column is a month (January - December).

Rearrange the following program so that it:

Imports the data
Calculates the average precipitation in each month across years
Plots the monthly averages as a simple line plot

Finally, add a comment above the code that describes what it does. The comment character in R is #.

plot(monthly_mean_ppt, type = "l", xlab = "Month", ylab = "Mean Precipitation")
monthly_mean_ppt <- colMeans(ppt_data)
ppt_data <- read.csv("./data/gainesville-precip.csv", header = FALSE)

It’s OK if you don’t know exactly how the details of the program work at this point, you just need to figure out the right order based on when variables are defined and when they are used.

[click here for output]

Data Carpentry -for- Ecologists

Data Analysis

Code Shuffle