Recall that, the function ggsave()[in ggplot2 package] can be used to save ggplots. However, when working with cowplot, the function save_plot() [in cowplot package] is preferred. It’s an alternative to ggsave
In this chapter, you will learn to make a wide variety of plots with your first ggplot2 function, qplot(), short for quick plot. qplot makes it easy to produce complex plots, often requiring several lines of code using other plotting systems, in one line. qplot() can do this because ...
229-several-circular-plots-in-a-figure.html 23-add-colors-to-specific-groups-of-a-boxplot.Rmd 23-add-colors-to-specific-groups-of-a-boxplot.html 230-draw-part-of-the-circular-plot-only.Rmd 230-draw-part-of-the-circular-plot-only.html 233-add-annotations-on-ggplot2-chart....
for(i in 2:ncol(data)) { # Printing ggplot within for-loop print(ggplot(data, aes(x = x, y = data[ , i])) + geom_point()) Sys.sleep(2) }Figure 2: Showing ggplot2 Plots within for-Loop using print() Function.After running the previous R code, you will see three ggplot2 ...
Annotation is akey stepin data visualization. It allows to highlight the main message of the chart, turning a messy figure in an insightful medium.ggplot2offers many function for this purpose, allowing to add all sorts of text and shapes. ...
In the call to geom_spring() for this problem, the spring is specified to go from the value of x to xend = xbar, while setting y and yend to the value of y. A lot of code is devoted to making this a pretty figure. ggplot(df, aes(x=x, y=y)) + geom_point(size = 5, ...
Figure 1: ggplot2 Boxplot with Outliers. As you can see based on Figure 1, we created a ggplot2 boxplot with outliers. Now, let’s remove these outliers… Example: Remove Outliers from ggplot2 Boxplot If we want toremove outliers in R, we have to set the outlier.shape argument to ...
You can change the entire look of the plots by using custom theme. As an example, Jeffrey Arnold has put together the libraryggthemeswith several custom themes. For a list you can visitthe ggthemes site. Here is an example: Use a new theme (theme_XX()) ...
As shown in the figure below, each layer contains one geom object, that is, one element you see in your graph (lines and dots, for instance). First, you need to pass a dataset to the ggplot() function. Second, you will map variables to aesthetics - visual properties of a geom ...
R has several systems for making graphs, butggplot2 is one of the most elegant and most versatile.ggplot2 implements the grammar of graphics, a coherent system for describing and building graphs. With ggplot2, you can do more faster by learning one system and applying it in many places. ...