The goal of this article is to describe how to change the color of a graph generated using R software and ggplot2 package. A color can be specified either by name (e.g.: “red”) or by hexadecimal code (e.g. : “#FF1234”). The different color systems available in R are describe...
To change the size of plots arranged using grid.arrange, we can use heights argument. The heights argument will have a vector equal to the number of plots that we want to arrange inside grid.arrange. The size of the plots will vary depending on the values in this vector. Consider the be...
In this article, you will learn how to modify ggplot labels, including main title, subtitle, axis labels, caption, legend titles and tag. Plot title and subtitle provides insights into the main findings Caption are generally used to describe the data source Tag can be used for differentiating ...
I am trying to make a stacked bar graph using ggplot2. ggplot(all, aes(fill=Impact, y=Variants, x=Number.of.dogs, label = Variants)) + geom_bar(stat="identity") + geom_text(size = 3, position = position_stack(vjust = 0.5)) The issue is, the first bar is so large that is...
How to change the size of dots in dotplot created by using ggplot2 in R - To change the size of dots in dotplot created by using ggplot2, we can use binwidth argument inside geom_dotplot. For example, if we have a data frame called df that contains a col
Now….lets say that you don’t want a solid gray background, and you want a bigger default font size. These are really common tweaks, so ggplot2 makes it easy to change the default “theme” in order to get white backgrounds and custom text sizes. You can set this globally for an ...
Change facet background color Related Book GGPlot2 Essentials for Great Data Visualization in R Prerequisites Load required packages and set the theme function theme_light() [ggplot2] as the default theme: library(ggplot2) theme_set( theme_light() + theme(legend.position = "top") ) Basic gg...
Full size image Regions of high predictability from MoV include parts of the Maritime Continent, northeast and southwest Sudan, southern Ethiopia, northeast Nigeria, northern Brazil, northwest Colombia, and western Ecuador (Fig. 1). There is a notable change in predictability with latitude. Most of...
It will teach you how to load databases and use SQL with dplyr and ggplot. Importing data from XML and HTML files Importing XML into R In this section, we will load plant_catalog XML data from w3schools using xml2 package. Note: You can also use the XML package’s `xmlTreeParse`...
A potential solution is to change the limits 'manually', e.g. # Plot the adjusted survival curves p1 <- plot(adjsurv_selected, conf_int = FALSE, xlab = "Years", ylab = "Adjusted Survival Probability", risk_table = TRUE, risk_table_stratify = TRUE, risk_table_title...