arction / lc4r

An open-source wrapper that brings the highest performance JavaScript charts into R

Features

Scatter charts

• Fully interactive (zooming, panning, data cursor)
• Up to 75 million (75 000 000) data points
• circle, square and triangle markers
• Supports individual point sizes and transparent points

Line charts

• Fully interactive (zooming, panning, data cursor)
• Up to 500 million (500 000 000) data points

Heatmap charts

• Fully interactive (zooming, panning, data cursor)
• Up to 5.6 billion (5 600 000 000) data points
• Supports R color palettes (native, RColorBrewer, Viridis)
• Automatic bilinear color interpolation based on adjacent cell values

Surface charts

• Fully interactive (zooming, panning, rotation)
• Up to 2 billion (2 000 000 000) data points
• Supports R color palettes (native, RColorBrewer, Viridis)
  • Currently only coloring by Y but could be extended to color by separate data set
• Automatic bilinear color interpolation based on adjacent cell values
• Beautiful Phong shading for better depth perception

Map charts

• Dynamically coloring countries or other map regions using ISO_A3 codes or names.
  • Supports R color palettes (native, RColorBrewer, Viridis)
• Can be combined with other 2D features such as scatter, bubbles, lines, etc.

Installation and usage

The latest version of lc4r can be installed via R devtools.

If you don't have devtools installed, do that with the following command in R console:

install.packages("devtools")

Install the latest lc4r version with following R console command:

devtools::install_github("Arction/lc4r")

Usage

Example, basic scatter chart usage

library(lc4r)

data <- mtcars[,c('wt','mpg')]
print(lc4r(lcSeries(
  type = 'scatter',
  x = data$wt,
  y = data$mpg
)))

You can find more example R scripts right here in GitHub

Apart from example scripts, the best place to learn about package usage is to view the package documentation in RStudio:

About LightningChart JS

LightningChart JS is the proven performance leader in the field of JavaScript data visualization. We are changing the capabilities of web data visualization by providing high-performance charts with real-time capabilities and optimized CPU usage.

You can learn more about the product on our web site lightningchart.com.

Please note that LightningChart JS is not allowed to be used commercially without purchasing a license.

To see our charts in action, you can check our Interactive Examples gallery. At the time of writing we have a grand total of 112 different chart examples covering a wide variety of fields and use cases, such as:

• Trading
• Research
• Medicine
• Statistics
• Business and Finance
• Geographical data visualization
• ...and a stunning amount of general data visualization examples that are not tied to any particular field.

Things to add

There are countless features in LightningChart JS that could be added into the R package. Here's some honorable mentions which we think would be especially interesting:

• Color palettes for line charts
• Color palettes for scatter charts
• Threshold indicators
• Band indicators
• Area series
• Area Range series
• Candlestick series
• Polar charts

Contributing

Anyone is welcome to contribute towards improving lc4r by

• Suggesting improvements, changes or new features by creating an issue in GitHub
• Taking the initiative and implementing an improvement in the package and creating a pull request in GitHub