To get back to the original ggplot2 default settings you can either restart the R session or choose the default theme with theme_set(theme_gray()) T Thomas Neitmann Theggeasypackage has a function calledeasy_center_title()to do just that. I find it much more appealing thantheme(plot.tit...
theme(plot.title = element_text(hjust = 0.5)) 其中,element_text(hjust = 0.5)表示将元素(标题文本)水平居中,即横向位置为 0.5。这种方法比较适用于需要对图表的其他元素进行调整的情况。 综上所述,ggtitle center 是一种可以使得 ggplot2 图表标题文本居中的方法,可以让图表显得更加清晰、简洁、直观,让读者更...
Volcano plot were performed with the ggplot2 library. Hierarchical clustering heatmap was made with the pheatmap library. Human heart RNA-seq data collection and analyses. Human diseased heart RNA-seq data, including GSE57344, GSE71613, GSE116250, GSE46224, GSE108157, GSE55296, GSE120836, GSE1...
statistical analyses were performed with SAS software (Version 9.4.; SAS Institute, Inc., Cary, NC, USA), adopting a nominal significance level of α = 0.05 and graphical representations were performed with R-software (R Foundation for Statistical Computing, Vienna, Austria).with the ggplot2 ...
print(average_hp_by_cyl) # Use ggplot2 to plot the relationship between horsepower (hp) and miles per gallon (mpg). ggplot(mtcars, aes(x=mpg, y=hp)) + geom_point() + # Plot points. geom_smooth(method="lm") + # Plot a linear regression line. labs(title="Horsepower versus Miles...
print(average_hp_by_cyl) # Use ggplot2 to plot the relationship between horsepower (hp) and miles per gallon (mpg). ggplot(mtcars, aes(x=mpg, y=hp)) + geom_point() + # Plot points. geom_smooth(method="lm") + # Plot a linear regression line. labs(title="Horsepower versus Miles...