save_plot(file2, p1, base_height = NULL, base_width = 6)# save a single plot without legend, adjust aspect ratiox < - (1:100)/10p3 < - ggplot(data.frame(x = x, y = x*sin(x)), aes(x, y)) + geom_line() + theme_minimal_hgrid()file3 < - tempfile("file3", fileext...
另外,在使用saveplot函数时,我们需要注意一些参数的设置。比如,我们可以设置图像的大小、分辨率、字体等等,以便生成最终满意的图像。 除了saveplot函数,R语言还有很多其他的绘图函数,如ggplot2、plotly等等。这些函数可以帮助我们生成美丽的图表,非常实用。 总之,如果你是一位R语言爱好者,保存图像是非常重要的。而saveplot...
Create and print a plot Close the graphic deviceusing the functiondev.off() Save ggplot into a PDF file For example, to export ggplot2 graphs to a pdf file, the R code looks like this: # Create some plotslibrary(ggplot2) myplot1 <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + ...
RStudiohas a nice feature in that it saves all of your plots in the plotting pane. It’s no problem if you just produce the plot inside your dreaded loop in RStudio because it keeps all of your plots in the pane. Even with RStudio, if you produce the plots inside the loop, you s...
然后,我们使用pdf()函数将图形保存为名为temperature_plot.pdf的PDF文件。接下来,我们使用ggplot()函数绘制了温度变化的折线图,设置了标题和坐标轴标签,并使用theme_bw()函数应用了一个简单的黑白主题。最后,我们使用dev.off()函数关闭PDF设备。 结论 通过使用R语言中的pdf()函数,我们可以方便地将图形保存为PDF...
Let’s say I want a plot with 3 rows and 2 columns. First, here’s how a simple faceted plot would look like. raw %>% ggplot(aes(year, random, color = country))+ geom_path()+ facet_wrap(~country, ncol = 2) See how much space is just wasted in the plot. ...
[Use R!] Learn ggplot2 Using Shiny App || This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding. In widespread use in the statistical communities, ... Moon...
# 1. Create a plot # The plot is displayed on the screen ggplot(mtcars, aes(wt, mpg)) + geom_point() # 2. Save the plot to a pdf ggsave("myplot.pdf") For saving to apngfile, use: ggsave("myplot.png") Infos This analysis has been performed usingR software(ver. 3.2.1) andgg...
save(a, file = "a.RData") Now everything works fine! No data is horribly lost: the file loads fine on the ‘multicore’-less machine. And for the more realistic example, I had been usingcaret::rfeas Martin knew in the example he provided: ...
the file is created; if you had also clicked "View plot after saving" checkbox in that dialog the file would then open in the default application for that file format Implementation details Need to implement this callback: rstudio/src/node/desktop/src/main/gwt-callback.ts ...