In this article, you will learn how to modifyggplot labels, including main title, subtitle, axis labels, caption, legend titles and tag. Plot title and subtitle provides insights into the main findings Caption
ToothGrowth$dose <- as.factor(ToothGrowth$dose) p <- ggplot(ToothGrowth, aes(x = dose, y = len))+ geom_boxplot(aes(fill = dose)) + scale_fill_viridis_d() p Chage legend size The following R code modifies the size of the legend title and text: ...
Now, we can draw a basic ggplot2 plot as shown below. Note that we aredrawing a line graphin in this example. However, we could apply the code of this R programming tutorial to any other kind of ggplot2 plot (e.g. bar charts, histograms, line charts etc.) as well. ggp<-ggplot(d...
text = element_text(hjust = 0)) ggplot(data=dat,aes(x=x,y=y))+ geom_errorbarh(aes(xmin=x-sd_value, xmax=x+sd_value, color=group02), height=0, show.legend = FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE)+ facet_wrap(~group01)+ theme_bw()+ theme(...
df<-as.data.frame(ggplot2::midwest) Color and Data Types The best colors to encode in your graphs depend on the type of data you’re representing. There are three types of color palettes we might want to use: Sequentialpalettes are best used on data that has a clear order from low to...
Learn how to change the title size of a graph using the ggplot2 package in R with step-by-step instructions and examples.
legend.title = element_text(color = text_panel_color), legend.text.align = 0, # Changes color of plot border to white panel.border = element_rect(size = 1, color = text_panel_color), # Changes color of axis texts to white axis.text.x = element_text(color = text_panel_color), ...
Learn how to change the size of dots in a dotplot created using ggplot2 in R. This guide provides step-by-step instructions and examples.
theme(legend.position = "bottom") + labs(title = "Treatment group") A naïve analysis: Using only the treatment group Let's say we have access to data from a clinic that carefully monitor their patients' change during treatment (e.g., IAPT). The sample size is large, and we want ...
strip.text = element_text(hjust = 0)) ggplot(data=dat,aes(x=x,y=y))+ geom_errorbarh(aes(xmin=x-sd_value, xmax=x+sd_value, color=group02), height=0, show.legend = FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE)+ ...