This package is an R wrapper for the JavaScript linked-charts library. rlc is an easy to use instrument for interactive data visualisation. It allows to open interactive charts either in the RStudio Viewer or in the default browser window and on the fly process information about user's action (clicking, hovering with mouse, selecting points) in the running R session. This makes it easy to link the charts so that clicks on one of them change the state of the others.

rlc can be installed from CRAN:

install.package("rlc")

You can also install the latest developmental version from GitHub:

install.packages("devtools")
devtools::install_github("anders-biostat/rlc")

Currently supported types of charts are:

• lc_heatmap - heatmap
• lc_scatter - scatter plot
• lc_beeswarm - bee swarm plot (either vertical or horizontal)
• lc_line - lines, defined by sets of X and Y coordinates
• lc_path - lines, defined by sets of X and Y coordinates in a given order
• lc_abLine - lines, defined by slope (a) and intercept (b) values
• lc_vLine - vertical lines
• lc_hLine - horizontal lines
• lc_dens - density plot
• lc_hist - histogram
• lc_bars - bar chart

• lc_colourSlider - an additional element to interactively change a continuous colour scale of any other chart.
• lc_html - customary HTML code to be inserted in the web page.
• lc_input - five types of HTML <input> tag: text, radio, checkbox, range and button.
• lc_image - adds a static plot or any image to the web page.

To see how it works, have a look at these tutorials.