从GitHub安装R包报错Error: Failed to install 'Rpackage' from GitHub: Does not appear to be an R package (no DESCRIPTION) 一、问题: 前天在办公室电脑上安装上了“四个万能包”生信技能树良心佳作-Jimmy的四个万能R包;昨天在自己电脑上安装生信技能树良心佳作-Jimmy的四个万能R包 报错如下:Error: Failed...
然后再本地安装,这个时候install_github函数可能是有问题的啦,所以需要谷歌搜索,考验大家搜索能力的时候到了,主要是关键词寻找:install github local r package一般来说,程序员之友论坛就会是答案:https://stackoverflow.com/questions/17366772/install-r-packages-from-github-downloading-master-zip devtools::install(...
install.packages("packageName") 1. 2. 通过上面的代码,我们将R的包安装源设置为CRAN镜像,然后使用install.packages()函数来下载安装包。 2. 手动下载安装包 如果我们无法连接上Github或CRAN镜像,还可以手动下载安装包的压缩文件,然后使用install.packages()函数来安装。以下是一个示例代码: install.packages("path/...
#install.packages('githubinstall') #已发布至CRANlibrary(githubinstall)githubinstall('AnomalyDetection') Suggetion:-twitter/AnomalyDetectionDoyouinstallthepackage?1:Yes(Install)2:No(Cancel) githubinstall()会从Github的仓库中搜索相应的R包,并询问你是否安装。 此外,如果你只是模糊的记得包名也可以安装成功,gi...
“`R install.packages(“path/to/package_folder”, repos = NULL, type = “source”) “` 其中,”path/to/package_folder”是存放解压缩的R包文件夹的路径。 7. 安装完成后,可以使用以下命令加载R包并开始使用: “`R library(package_name)
这里,我们建议是使用 devtools::install_local 安装这一系列包,但是我批量安装的代码没有写好: fs=list.files(pattern = '*tar.gz') fs lapply(fs,function(i){ #i=fs[17] print(i) if(i %in% installed.packages()[,"Package"] ){ print('ok') ...
githubinstall('AnomalyDetection') Suggetion: - twitter/AnomalyDetection Do you install the package? 1: Yes (Install) 2: No (Cancel) githubinstall()会从Github的仓库中搜索相应的R包,并询问你是否安装。 此外,如果你只是模糊的记得包名也可以安装成功,githubinstall包通过模糊的字符串会自动纠正包名。
#build = FALSE because of some specificities of XGBoost packageinstall_github("dmlc/xgboost/R-package",build=FALSE) To install a certain branch or commit or tag, append it to the repo name, after an@: remotes::install_github("gaborcsardi/pkgconfig@v2.0.0") ...
> library(githubinstall) > githubinstall('RHadoop') Select a number or, hit 0 to cancel. 1: 56north/Rmazon A R package for multi-dimensional data visualization 2: Airfixer/Raoul A R package for multi-dimensional data visualization
For macOS we only support the official CRAN R build. Other builds, e.g. Homebrew R, are not supported. Install from CRAN Install the released version of the package from CRAN as usual: install.packages("pak") This potentially needs a C compiler on platforms CRAN does not have binaries pa...