With ever increasing sources of movement data from GPS in phones, animal trackers, and other devices I want to learn about visualizing movement. This post explores a dataset of caribou tracker collar GPS data which can be found on figshare. The first ste
In case you are not a fan of pie charts (for very good reasons), you can alternatively use ggbarstats() function which has a similar syntax.N.B. The p-values from one-sample proportion test are displayed on top of each bar.set.seed(123) library(ggplot2) ggbarstats( data = movies...
Thanks to its strict implementation of the grammar of graphics, ggplot2 provides an extremely intuitive and consistent way of plotting your data. Not only does ggplot2’s approach to plotting ensure that each plot comprises certain basic elements but it also simplifies the readability of your code...
ggperiodic is an attempt to solve the issue of plotting periodic data in ggplot2. It automatically augments your data to wrap it around to any arbitrary domain. Installation You can install the latest version from CRAN with install.packages("ggperiodic") ...
The first version of this package included an R Basics Tutorial App which I published earlier at DataScience+ The updated version of this package, which is now on CRAN, includes a plotting app. This app provides an automated interface for generating plots using the ggplot2 package. Current ...
By Adrian Tam on September 26, 2023 in R for Data Science 0 Share Post Share One of the most popular plotting libraries in R is not the plotting function in R base, but the ggplot2 library. People use that because it is flexible. This library also works using the philosophy of “...
After the data is summarized, we can make the graph. These are basic line and point graph with error bars representing either the standard error of the mean, or 95% confidence interval. # Standard error of the meanggplot(tgc,aes(x=dose,y=len,colour=supp))+geom_errorbar(aes(ymin=len-...
ggplot2 will not add a legend automatically unless you map aethetics (color, size etc) to a variable. There are times, though, that I want to have a legend so that it’s clear what you’re plotting. Here is the default: # here there is no legend automaticallyggplot(nmmaps, aes(x=...
It's often useful to transform your data before plotting, and that's what statistical transformations do. Every geom function has a default statistic: geom_histogram = stat_bin + bar geom_smooth = stat_smooth + ribbon geom_density = stat_density + ribbon ...
concise overview of the ggplot2 package. This is not meant to be comprehensive, but just covers some key aspects so that it’s easier to understand how the app is structured and to make the most of it. You also can read apublished tutorialin DataScience+ for ggplot2. The template for ...