最近我似乎和合作者分享了很多代码。他们中的许多人是新手/中级R用户,并没有意识到他们必须安装他们还没有的包。
是否有一种优雅的方式来调用installed.packages(),比较那些我正在加载和安装如果丢失?
最近我似乎和合作者分享了很多代码。他们中的许多人是新手/中级R用户,并没有意识到他们必须安装他们还没有的包。
是否有一种优雅的方式来调用installed.packages(),比较那些我正在加载和安装如果丢失?
当前回答
packages_installed <- function(pkg_list){
pkgs <- unlist(pkg_list)
req <- unlist(lapply(pkgs, require, character.only = TRUE))
not_installed <- pkgs[req == FALSE]
lapply(not_installed, install.packages,
repos = "http://cran.r-project.org")# add lib.loc if needed
lapply(pkgs, library, character.only = TRUE)
}
其他回答
pckg=c("shiny","ggplot2","dplyr","leaflet","lubridate","RColorBrewer","plotly","DT","shinythemes")
for(i in 1:length(pckg))
{
print(pckg[i])
if (!is.element(pckg[i], installed.packages()[,1]))
install.packages(pckg[i], dep = TRUE)
require(pckg[i], character.only = TRUE)
}
是的。如果您有软件包列表,请将其与installed.packages()[,"Package"]的输出进行比较,然后安装缺少的软件包。就像这样:
list.of.packages <- c("ggplot2", "Rcpp")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
否则:
如果您将代码放在包中并使它们成为依赖项,那么当您安装包时,它们将自动安装。
packages_installed <- function(pkg_list){
pkgs <- unlist(pkg_list)
req <- unlist(lapply(pkgs, require, character.only = TRUE))
not_installed <- pkgs[req == FALSE]
lapply(not_installed, install.packages,
repos = "http://cran.r-project.org")# add lib.loc if needed
lapply(pkgs, library, character.only = TRUE)
}
我使用以下函数安装包,如果require("<包>")退出包未发现错误。它将查询- CRAN和Bioconductor存储库,以查找丢失的包。
改编自约书亚·威利的原著, http://r.789695.n4.nabble.com/Install-package-automatically-if-not-there-td2267532.html
install.packages.auto <- function(x) {
x <- as.character(substitute(x))
if(isTRUE(x %in% .packages(all.available=TRUE))) {
eval(parse(text = sprintf("require(\"%s\")", x)))
} else {
#update.packages(ask= FALSE) #update installed packages.
eval(parse(text = sprintf("install.packages(\"%s\", dependencies = TRUE)", x)))
}
if(isTRUE(x %in% .packages(all.available=TRUE))) {
eval(parse(text = sprintf("require(\"%s\")", x)))
} else {
source("http://bioconductor.org/biocLite.R")
#biocLite(character(), ask=FALSE) #update installed packages.
eval(parse(text = sprintf("biocLite(\"%s\")", x)))
eval(parse(text = sprintf("require(\"%s\")", x)))
}
}
例子:
install.packages.auto(qvalue) # from bioconductor
install.packages.auto(rNMF) # from CRAN
注:更新。packages(ask =FALSE) & biocLite(character(), ask=FALSE)将更新系统上所有已安装的软件包。这可能需要很长时间,并将其视为一个完整的R升级,这可能并不总是有保障的!
48 lapply_install_and_load <- function (package1, ...)
49 {
50 #
51 # convert arguments to vector
52 #
53 packages <- c(package1, ...)
54 #
55 # check if loaded and installed
56 #
57 loaded <- packages %in% (.packages())
58 names(loaded) <- packages
59 #
60 installed <- packages %in% rownames(installed.packages())
61 names(installed) <- packages
62 #
63 # start loop to determine if each package is installed
64 #
65 load_it <- function (p, loaded, installed)
66 {
67 if (loaded[p])
68 {
69 print(paste(p, "loaded"))
70 }
71 else
72 {
73 print(paste(p, "not loaded"))
74 if (installed[p])
75 {
76 print(paste(p, "installed"))
77 do.call("library", list(p))
78 }
79 else
80 {
81 print(paste(p, "not installed"))
82 install.packages(p)
83 do.call("library", list(p))
84 }
85 }
86 }
87 #
88 lapply(packages, load_it, loaded, installed)
89 }