pairedVis: Create a paired scatterplot matrix visualization

In prpatil/healthvis: Interactive visualizations of health data

Description

pairedVis takes a data.frame input and creates a matrix of paired plots for all numeric columns. Points are colored by categorical columns in the data, which the user can cycle through using the drop-down menu (points are all one color otherwise). Users can highlight points in one plot of the matrix to see them highlighted in all of the other plots.

Usage

pairedVis(data, plot.title = "My Scatterplot Matrix")

Arguments

data	A data frame to visualize
plot.title	The title of the plot to appear on the HTML page

Examples

# Let's use the iris data, but add an extra categorical column
test_data <- iris
test_data$content <- sample(c("High", "Med", "Low", "None"), nrow(test_data), replace=T)
pairedVis(test_data)

prpatil/healthvis documentation built on May 26, 2019, 10:32 a.m.