Introduce the main components needed to create a graphical object using the ggplot function. Explain the aesthetic mapping approach and what are geometry layers such as geom_point, geom_line etc. How ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Creating informative and digestible data visualizations is a foundational aspect ...

This markdown document uses the mock data from the R workshop folder; you can read in your own data and replace the variable names to complete anova & Tukey, extract significance from the test output, ...

Urbanization has broad impacts on macroecology but its consequences for wildlife microbial ecology remain unclear. Now, Dillard and colleagues provide new data suggesting that humans living in an ...

library(ggplot2) library(ggtrendline) x <- c(1, 3, 6, 9, 13, 17) y <- c(5, 8, 11, 13, 13.2, 13.5) ggtrendline(x, y, model = "exp2P", linecolor = "blue", linetype = 1 ...

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects. ggplot2 is an enormously ...

Labeling all or some of your data with text can help tell a story — even when your graph is using other cues like color and size. ggplot has a couple of built-in ways of doing this, and the ggrepel ...

The statistical software R is well known for its very flexible graphical capabilities that are user-friendly if one understands the R programming language. One of the greatest aspects of R is the ...