[1]roxygen2: https://cran.r-project.org/package=roxygen2 [2]rlang: https://rlang.r-lib.org/ [3]ggdendro: https://cran.r-project.org/package=ggdendro [4]ggthemes: https://cran.r-project.org/package=ggthemes [5]vdiffr: https://cran.r-project.org/package=vdiffr [6]testthat: ...
* installing *source* package 'scales' ... ** 成功将'scales'程序包解包并MD5和检查 ** libs Warning: 运行命令'make -f "C:/PROGRA~1/R/R-32~1.0/etc/x64/Makeconf" -f "C:/PROGRA~1/R/R-32~1.0/share/make/winshlib.mk" SHLIB_LDFLAGS='$(SHLIB_CXXLDFLAGS)' SHLIB_LD='$(SHLIB_CXXL...
为了避免CMD check抛出note,你需要#' @importFrom rlang .data注释块引入该符号名。(通常你可以通过usethis::use_package_doc()生成包的注释块)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"),...
ggplot是一个拥有一套完备语法且容易上手的绘图系统,在Python和R中都能引入并使用,在数据分析可视化领域拥有极为广泛的应用。本篇从R的角度介绍如何使用ggplot2包,首先给几个我觉得最值得推荐的理由: 采用“图层”叠加的设计方式,一方面可以增加不同的图之间的联系,另一方面也有利于学习和理解该package,photoshop的老...
现在最新的R版本是4.2.1,因为有些包只能运行在3.6版本中,因此我需要安装3.6,这里安装常用的ggplot2时报错了,总结一下问题解决的方法。 1. ggplot2包安装报错 本来,我安装R3.6,然后直接运行install.packages("ggplot2"),报错如下: **byte-compileandpreparepackageforlazyloading ErrorinloadNamespace(i,c(lib.loc...
R画图包ggplot2简介 一、简介: ggplot2是R语言中很受欢迎的一个画图package,使用起来非常友好。ggplot2的实现得益于Leland Wilkinson在他的著作《The Grammar of Graphics 》中提出了一套图形语法,把图形元素抽象成可以自由组合的成分,Hadley Wickham把这套想法在R...
现在最新的R版本是4.2.1,因为有些包只能运行在3.6版本中,因此我需要安装3.6,这里安装常用的ggplot2时报错了,总结一下问题解决的方法。 1. ggplot2包安装报错 报错如下: **byte-compileandpreparepackageforlazyloading ErrorinloadNamespace(i,c(lib.loc, .libPaths()),versionCheck=vI[[i]]) : ...
As shown in Figure 3, the previous R programming syntax has created a venn diagram with four sets. Example 4: Using geom_venn() Function to Draw Venn Diagram Besides the ggvenn function that we have used so far, the ggvenn package also provides the geom_venn function that can basically be...
(not X/Y) so I know that the point data is not projected. I need to project the point data to State Plane to match the polygon data. To do this we use thespTransform()function (from thergdalpackage). But in order to use it we need to convert the points data frame to class...
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...