Basics Of R Plotting

Aman Tsegai shows some basic ways to customize R’s plot function:

We’re going to be using the cars dataset that is built in R. To follow along with real code, here’s an interactive R Notebook. Feel free to copy it and play around with the code as you read along.

So if we were to simply plot the dataset using just the data as the only parameter, it’d look like this:

plot(dataset)

The plot function is great for cases where you don’t much care how the visual looks, and the simplicity is great for throwaway visuals.

Related Posts

Interpreting The Area Under The Receiver Operating Characteristic Curve

Roos Colman explains what a Receiver Operating Characteristic (ROC) curve is and how we interpret the Area Under the Curve (AUC): The AUC can be defined as “The probability that a randomly selected case will have a higher test result than a randomly selected control”. Let’s use this definition to calculate and visualize the estimated […]

Read More

Building A Neural Network In R With Keras

Pablo Casas walks us through Keras on R: One of the key points in Deep Learning is to understand the dimensions of the vector, matrices and/or arrays that the model needs. I found that these are the types supported by Keras. In Python’s words, it is the shape of the array. To do a binary […]

Read More

Categories

April 2017
MTWTFSS
« Mar May »
 12
3456789
10111213141516
17181920212223
24252627282930