easy_plot_ly: Easy Plotting with Plotly

In shanealman/EZRplots: An EZR Alternative to Plotting!

Description

This function provides a simple way to generate 2D and 3D plots using the R package plotly.

Usage

## x, y, z, and color variables need to be in a vectorized form like x$data or y$data.
## If you are using the surface plot type, a z variable matrix is all that should be used,
## if non matrix data is put into the funciton for x and y they will be converted to a z matrix
## Line plots should use quantitative color variables. 3D density plots require only an x and y variable
## and will create a z matrix for you

easy_plot_ly(x, y, z, color, type, data)

Arguments

x	The x-axis variable
y	The y-axis variable
z	The z-axis variable
color	A cateogrical or quantitative variable to subset the data
type	The type of plot you would like to generate: "scatter", "line", "surface", "3d_density", "mesh", or "auto" to have plotly generate one for you
data	The datset that will be used

Value

A 2D or 3D plot based on the package plotly

Examples

           Scatter Plot:
easy_plot_ly(x = iris$Sepal.Length, y = iris$Sepal.Width, z = iris$Petal.Length,
             color = iris$Species, type = 'scatter', data = iris)


           Line Plot:
df1 <- data.frame(x = sin(1:1000), y = cos(1:1000), z = 1:1000)
easy_plot_ly(x = df1$x, y = df1$y, z = df1$z, color = df1$x, type = 'line', data = df1)


           Surface Plot:
easy_plot_ly(z = volcano, type = 'surface', data = volcano)


           3D Density Plot:
easy_plot_ly(x = iris$Sepal.Length, y = iris$Sepal.Width, type = '3d_density', data = iris)


           Mesh Plot:
easy_plot_ly(x = iris$Sepal.Length, y = iris$Sepal.Width, z = iris$Petal.Length,
             type = 'mesh', data = iris)

shanealman/EZRplots documentation built on May 13, 2020, 3:29 a.m.