1.下载Forecast包以及其依赖包,执行下面R脚本;
getPackages <- function(packs){
packages <- unlist(
tools::package_dependencies(packs, available.packages(),which=c("Depends", "Imports"), recursive=TRUE)
)
packages <- union(packs, packages)
packages
}
myPackages <- c("forecast","RcppArmadillo")
packages <- getPackages(myPackages)
download.packages(packages, destdir="E:/Rpackages/", type="source")
2.下载完成之后,将Rpackages压缩为Rpackages.tar.gz,上传到centos并解压;
3.下载stringi依赖的数据包icudt61l.zip(不同的stringi可能会有不同的版本,可以从报错信息里面提取下载路径),下载,下载完成之后,直接将压缩包上传到centos中;
4.安装stringi,在centos中输入R,进入R命令模式(指定数据集所在本地位置,否则会报错installation of package ‘stringi’ had non-zero exit status)
install.packages("包所在路径/stringi_1.4.3.tar.gz",configure.vars="ICUDT_DIR=icudt61l.zip上一级路径", repos = NULL, type = "source")
5.安装RcppArmadillo,RcppArmadillo_0.9.500.2.0要求R语言环境在3.3.0以上
install.packages("路径/Rcpp_1.0.1.tar.gz", repos = NULL, type = "source")
install.packages("路径/RcppArmadillo_0.9.500.2.0.tar.gz", repos = NULL, type = "source")
5.安装forecast,按顺序输入以下指令,等待安装完成即可。
# 忽略>,依次输入>后脚本
>library(tools)
>path <- "下载的离线包解压后路径"
>write_PACKAGES(path,type="source")
>myPackages <- c("forecast")
>install.packages(myPackages, contriburl=paste("file:",path,sep=''),type="source")
附注:
安装过程中,如果出现had non-zero exit status错误,重新安装即可。
单个包下载路径:https://cran.r-project.org/src/contrib/Archive/stringi/
包依赖查询路径:https://cran.r-project.org/web/packages/stringi/
R语言源码包:https://cran.r-project.org/src/base/R-3/