对于那些想要同时安装和加载包的人来说，我从这个链接中遇到了这个函数

# ipak function: install and load multiple R packages.
# check to see if packages are installed. Install them if they are not, then load them into the R session.

ipak <- function(pkg){
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new.pkg)) 
    install.packages(new.pkg, dependencies = TRUE)
sapply(pkg, require, character.only = TRUE)
}

# usage
packages <- c("ggplot2", "plyr", "reshape2", "RColorBrewer", "scales", "grid")
ipak(packages)

你所提议的函数的几种排列是可行的——但前提是你指定了字符。唯一的论点为真。简单的例子:

lapply(x, require, character.only = TRUE)

对于那些想要同时安装和加载包的人来说，我从这个链接中遇到了这个函数

# ipak function: install and load multiple R packages.
# check to see if packages are installed. Install them if they are not, then load them into the R session.

ipak <- function(pkg){
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new.pkg)) 
    install.packages(new.pkg, dependencies = TRUE)
sapply(pkg, require, character.only = TRUE)
}

# usage
packages <- c("ggplot2", "plyr", "reshape2", "RColorBrewer", "scales", "grid")
ipak(packages)

您可以简单地使用lubripack包，它整齐地安装新包，然后在一行中加载所有这些包。

lubripack("plyr", "psych", "tm")

下面是在RStudio中运行上述代码后的输出。

软件包安装方法:

运行下面的代码下载包并从GitHub安装。不需要有GitHub帐户。

library(devtools)
install_github("espanta/lubripack")

轻微修改Tyler Rinker的回答，增加安装和加载吃豆人的检查:

#Install/load pacman
if(!require(pacman)){install.packages("pacman");require(pacman)}
#Install/load tons of packages
p_load(plyr,psych,tm)

我喜欢p_load解决方案，因为它避免了引用!

这应该可以达到目的:

lapply(x, FUN = function(X) {
    do.call("require", list(X)) 
})

(关键是do中的args参数。Call (what, args)必须是一个列表——即使它只有一个元素!)