3 Object not found error in function 0 Use function with ggplot2 2 Error when plotting in a function with ggplot2 0 Error in ggplot 1 Function in R giving error with ggplot output 1 Error In library(ggplot2) while running the code in R 0 Usage of ggplot2 inside R f...
mpg_drv_summary<-function(){ggplot(ggplot2::mpg)+geom_bar(aes(x=.data$drv))+coord_flip()} 如果你的列名是字符串向量(例如,col = "drv"),使用.data[[col]]这种方式: 代码语言:javascript 复制 col_summary<-function(df,col){ggplot(df)+geom_bar(aes(x=.data[[col]]))+coord_flip()}col_...
对于上面的例子,函数可能是这样的:discrete_distr_data<-function(x){ tibble::tibble( value=names(x), probability=as.numeric(x) ) } discrete_distr_data(mpg_drv_dist) #>#Atibble:3x2 #>valueprobability #><chr><dbl> #>140.440 #>2f0.453 #>3r0.107 通常,plot()的使用者调用它是为了它的副作...
另一种就是高大上的R包ggplot了,其实这个在技能树也是有教程ggplot-in-R 的,但是大神不喜欢注释,还是需要bioplanet学习小组的协助啦,好了,废话不多说,开始练习。 首先看到教程这么写“据框是变量(列)和观测(行)的矩形集合。mpg是ggplot2的内置数据框。”,然后我就打开一个R.proj,输入mgp先查看数据情况 运行...
我们通过调用前面的函数将欧洲河流 shapefile 读入 R 中,以获取要导入的文件列表。然后,我们将st_read应用于它并检索列表对象。由于我们想要 sf 对象,因此获取列表的第一个组件就足够了,我们的愿望将得到满足。 代码语言:javascript 复制 get_rivers<-function(filenames,list_riv,eu_riv){filenames<-get_data(...
As you see, the line is a dash line and also a chance level line, but there is no legend displayed in the plot, so how to add a legend with a title of "Chance line" and a dash line below it in the hline function or whatever other method? r ggplot2 Share Improve this ...
一切都很好,并产生了一个很好的数据三面板图。如何在顶部添加法线dist?看来我会使用stat_function,但是失败了: #this fails pg <- ggplot(dd) + geom_density(aes(x=Predicted_value)) + stat_function(fun=dnorm) + facet_wrap(~State_CD) print(pg) ...
正好作为R语言系列的第一篇吧~ ggpubr实际上是基于ggplot2 开发出来的包,目的是为了简化ggplot2的操作,便于画出满足论文出版要求的图。 ggplot2, by Hadley Wickham,is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before...
Each type of geom accepts only a subset of all aesthetics-refer to the geom help pages to see what mappings each geom accepts. Aesthetic mappings are set with the aes() function. Scale scales map values in the data space to values in the aesthetic space(color, size, shape ...). scales...
One way is to convert your code into a function. Another is to turn it into an RStudio code snippet. But the ggpackets package has a ggplot-friendlier way: Create your own custom geom! It’s as painless as storing it in a variable using the ggpacket() function.The example code below...