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BACKGROUND

R is the industry standard for creating scientific graphs and plots. There are several different R packages available for creating impressive plots, graphs and maps including plotly, ggplot2, ggvis, diagrammer – for diagrams, dygraphs – for time series data, leaflet – for plotting maps, graphviz – for graphs. This training will walk through participants in creating awesome, interactive, static, shareable plots using the popular R packages.

OBJECTIVES

Participants will get a brief hands-on introduction to the R platform, followed by hands-on walkthrough for creating several different popular plots, graphs and maps like scatter plots, density plots, correlation plots, pca plots, surface plots, dot plots, star plots, circular plots, trees, heatmaps, panel graphs, 3D graphs, network graphs. We will start from formatting data and go all the way to loading data, setting parameters, creating the images and saving the outputs.

HIGHLIGHTS

Participants will work with RStudio. A copy of all the scripts used in the class to create plots, graphs and maps would be provided to the participants at the end of the training. Participants will also receive a cookbook style manual for all the hands-on exercises. After training support is also provided through exclusive members only forum.

Discussion forums: Education: Training in Creating Plots, Graphs and Maps using R at NIH

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