#scale_fill_manual("legend", values = c("A" = "black", "B" = "orange", "C" = "blue" #scale_fill_manual("legend", values=c("Adelie"="red","Gentoo"="purple","Chinstrap ...

coefDecay = radius^decayFactor/log(percent) # 10% at 50 pixel dat$lureDist = sqrt((dat$GazeX_Shifted-(dat$X_CenterLure+ (1280-1)/2 - dat$X_Center))^2 + (dat$GazeY ...

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 ...

In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular variable. The distribution ...

See how easy it is to create interactive web graphs from ggplot2 visualizations with the ggiraph R package. You can even link graphs so that clicking one dataviz affects the display of another. Static ...

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 ...

In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular variable. The distribution ...

Visualise the distribution of a single continuous variable by dividing the x axis into bins and counting the number of observations in each bin. Histograms (geom_histogram) display the count with bars ...