如何安装多个包？

Question

如何在 R 中安装多个软件包？

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")

为什么多包线路无法工作？

Answer 1

初级：通过

c(...)

:

形成向量

 install.packages(c("EIAdata", "gdata", "ggmap", "ggplot2")) # rest omitted

这样你就有一个第一个长度> 1的参数。

就个人而言，我更喜欢

littler

中的 install.r 所以我会这样做（在 Unix 命令行）：

  install.r EIAdata gdata ggmap ggplot2    # rest omitted again

请注意，参数的数量没有限制。对我来说，用 4 个包来写这个比用你的例子中的 20 个包更容易。

Answer 2

# Here we have a list of packages we want to install

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")

# Then we select only the packages that aren't currently installed.

install.lib <- load.lib[!load.lib %in% installed.packages()

# And finally we install the missing packages, including their dependency.
for(lib in install.lib) install.packages(lib,dependencies=TRUE)
# After the installation process completes, we load all packages.
sapply(load.lib,require,character=TRUE)

Answer 3

在这里，我将展示安装多个 R 数据科学包的示例。

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，将弹出一个 GUI，并显示全局下载镜像的列表。

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，您可以选择忽略该软件包、查找较新的软件包或使用较旧版本的 R。

警告信息： 软件包‘editR’、‘rga’、‘rcdimple’、‘Prophet’、‘cloudyR’不可用（适用于 R 版本 3.4.2）

压缩的 .tgz 文件将下载到类似

/private/var/folders/2k/p756_j5x0x5fqplwrq74j1sh0000gn/T/RtmpMTzQQ5/downloaded_packages

的位置

实际包裹位于

/Users/tymac/Library/R/3.4/library

和

/Library/Frameworks/R.framework/Versions/3.4/Resources/library

。

您可以通过其他几种方式查看包。

• 打开 R 应用程序/控制台
• --> 帮助 --> Html 帮助
• 参考 --> 包

或

• 打开 RStudio
• --> 帮助 --> R 帮助
• 帮助区
• --> 参考 --> 包