首先搞清楚R包的来源及对应的安装方式:
来自CRAN:install.packages()
![](https://img.haomeiwen.com/i9475888/5b814288f09bde7d.png)
来自Biocductor: BiocManager::install()
![](https://img.haomeiwen.com/i9475888/43158a3f0ebae413.png)
来自Github:devools::install_github()
![](https://img.haomeiwen.com/i9475888/ca93d3bd4dbfddbf.png)
根据来源的不同将R包分开,包的名字组成字符串向量。
cran_packages <- c('tidyverse',
'ggpubr',
'ggstatsplot')
Biocductor_packages <- c('org.Hs.eg.db',
'hgu133a.db',
'CLL',
'hgu95av2.db',
'survminer',
'survival',
'hugene10sttranscriptcluster',
'limma')
先设置镜像,然后将向量作为循环的输入,逐个执行安装
if(length(getOption("CRAN"))==0) options(CRAN="https://mirrors.tuna.tsinghua.edu.cn/CRAN/")
for (pkg in cran_packages){
if (! require(pkg,character.only=T) ) {
install.packages(pkg,ask = F,update = F)
require(pkg,character.only=T)
}
}
# first prepare BioManager on CRAN
if(length(getOption("CRAN"))==0) options(CRAN="https://mirrors.tuna.tsinghua.edu.cn/CRAN/")
if(!require("BiocManager")) install.packages("BiocManager",update = F,ask = F)
if(length(getOption("BioC_mirror"))==0) options(BioC_mirror="https://mirrors.ustc.edu.cn/bioc/")
# use BiocManager to install
for (pkg in Biocductor_packages){
if (! require(pkg,character.only=T) ) {
BiocManager::install(pkg,ask = F,update = F)
require(pkg,character.only=T)
}
}
无需理会中间的报错,挨个加载(library)看是否报错(这个不能用循环),不报错就是安装成功。报错说不存在什么包,就到回头去安装什么包。以加载时的报错为准。
网友评论