如何在 R 中安装多个包？
我尝试了以下代码：
install.packages("EIAdata", "gdata", "ggmap", "ggplot2","gridExtra","ISOweek","kobe","lubridate","maps","MASS","memisc","pander","plyr","psych","Quandl","quantmod","reshape2","rgeos","Rgnuplot","RODBC","scales","sp","sqldf","stockPortfolio","stringi","stringr","XLConnect", "xlsReadWrite","zipcode")
此代码有效：
install.packages("ggplot2")
为什么多包行不行？
【问题讨论】：
初级：通过c(...)形成一个向量：
install.packages(c("EIAdata", "gdata", "ggmap", "ggplot2")) # rest omitted
所以你有 一个长度> 1的第一个参数。
就个人而言，我更喜欢 install.r 而不是 littler，所以我会这样做（在 Unix 命令行中）：
install.r EIAdata gdata ggmap ggplot2 # rest omitted again
请注意，参数的数量没有限制。我用四个包来写这个比你的例子中的 20 个包更容易。
【讨论】：
options("Ncpus"=4)（或其他值）上，它使用所选 CPU（或者更确切地说，内核）的数量来并行安装。
install2.r 更有特色；我们可以添加一个“如果存在于同一版本中则跳过”，但我认为这并不紧急。
load.lib<-c("EIAdata", "gdata", "ggmap","ggplot2","gridExtra","ISOweek",
"Kobe","lubridate","maps","MASS","memisc","pander","plyr","psych",
"Quandl","quantmod","reshape2","rgeos","Rgnuplot","RODBC","scales",
"sp","sqldf","stockPortfolio","stringi","stringr","XLConnect",
"xlsReadWrite","zipcode")
install.lib<-load.lib[!load.lib %in% installed.packages()]
for(lib in install.lib) install.packages(lib,dependencies=TRUE)
sapply(load.lib,require,character=TRUE)
【讨论】：
这是一个甜蜜的?套件数据科学包?
您还需要注意确保您没有使用不同样式的引号，如果您使用的是外语，这些引号有时会在文本编辑器中创建。
$ R
> install.packages(c("remotes","readxl","googlesheets","haven", "readr", "rio", "Hmisc", "sqldf", "jsonlite", "XML", "httr", "quantmod", "tidyquant", "rvest", "dplyr", "purrr", "reshape2", "tidyr", "magrittr", "validate", "testthat", "data.table", "stringr", "lubridate", "zoo", "editR", "knitr", "officer", "listviewer", "DT", "ggplot2", "ggiraph", "dygraphs", "googleVis", "metricsgraphics", "RColorBrewer", "sf", "leaflet", "ggmap", "tmap", "tmaptools", "mapsapi", "tidycensus", "glue", "rga", "RSiteCatalyst", "roxygen2", "shiny", "flexdashboard", "openxlsx", "gmodels", "janitor", "car", "rcdimple", "foreach", "scales", "plotly", "highcharter", "profvis", "tidytext", "diffobj", "Prophet", "feather", "fst", "googleAuthR", "cloudyR"))
如果您从 CLI 安装，R 会显示--- Please select a CRAN mirror for use in this session ---，几秒钟后会弹出一个 GUI 并显示全局下载镜像列表。
如果您使用的是最新版本的 R，您可能会收到一条警告，指出某些较旧的软件包不适用于您的 R 版本，您可以选择忽略、查找较新的软件包或使用较旧版本的 R。
警告信息： 包“editR”、“rga”、“rcdimple”、“Prophet”、“cloudyR”不可用（适用于 R 版本 3.4.2）
压缩的 .tgz 文件将下载到 /private/var/folders/2k/p756_j5x0x5fqplwrq74j1sh0000gn/T/RtmpMTzQQ5/downloaded_packages 之类的地方
位于/Users/tymac/Library/R/3.4/library 和/Library/Frameworks/R.framework/Versions/3.4/Resources/library 的实际包。
您可以通过其他几种方式查看包。
或
【讨论】：
officer