如何检查 r 中加载的包版本
您可以使用以下函数来检查 R 中加载了哪个包版本:
#display package version packageVersion(" ggplot2 ") #display the date when this package version was released packageDate(" ggplot2 ") #display description of the package packageDescription(" ggplot2 ")
下面的例子展示了如何在实践中使用这些函数。
示例:检查 R 中加载了哪个包版本
假设我们将ggplot2包加载到当前的 R 环境中:
library (ggplot2)
我们可以使用packageVersion()函数来检查加载了哪个版本的 ggplot2:
#display package version packageVersion(" ggplot2 ") [1] '3.3.2'
我们看到版本3.2.2已加载。
要查明此版本的发布时间,您可以使用packageDate()函数:
#display the date when this package version was released packageDate(" ggplot2 ") [1] "2020-06-17"
我们可以看到这个版本是在2020年6月17日发布的。
要显示包的描述,我们可以使用packageDescription()函数:
#display description of the package packageDescription(" ggplot2 ") Package: ggplot2 Version: 3.3.2 Title: Create Elegant Data Visualizations Using the Grammar of Graphics Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", "aut", comment = c(ORCID = "0000-0003-4757-117X"), person("Winston", "Chang", , role = "aut", comment = c(ORCID = "0000-0002-1576-2126"), person("Lionel", "Henry", , role = "aut"), person("Thomas Lin", "Pedersen", , "thomas.pedersen@rstudio.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5147-4711"), person("Kohske", "Takahashi", role = "aut"), person("Claus", "Wilke", role = "aut", comment = c(ORCID = "0000-0002-7470-9261"), person("Kara", "Woo", role = "aut", comment = c(ORCID = "0000-0002-5125-4188"), person("Hiroaki", "Yutani", role = "aut", comment = c(ORCID = "0000-0002-3385-7233"), person("Dewey", "Dunnington", role = "aut", comment = c(ORCID = "0000-0002-9415-4582"), person("RStudio", role = c("cph", "fnd"))) Depends: R (>= 3.2) Imports: digest, glue, grDevices, grid, gtable (>= 0.1.1), isoband, MASS, mgcv, rlang (>= 0.3.0), scales (>= 0.5.0), stats, tibble, withr (>= 2.0.0) Suggested: covr, dplyr, ggplot2movies, hexbin, Hmisc, knitr, lattice, mapproj, maps, maptools, multcomp, munsell, nlme, profvis, quantreg, RColorBrewer, rgeos, rmarkdown, rpart, sf (>= 0.7-3), svglite (>= 1.2.0.9001), testthat (>= 2.1.0), vdiffr (>= 0.3.0) Enhances:sp License: GPL-2 | LICENSE file URL: https://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2 BugReports: https://github.com/tidyverse/ggplot2/issues LazyData: true Collate: 'ggproto.r' 'ggplot-global.R' 'aaa-.r' 'aes-color-fill-alpha.r' ..... ThumbnailBuilder: knitr Roxygen Note: 7.1.0.9000 Encoding: UTF-8 NeedsCompilation: no Packaged: 2020-06-17 06:03:58 UTC; thomas Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Winston Chang [aut] (<https://orcid.org/0000-0002-1576-2126>), Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Kohske Takahashi [aut], Claus Wilke [aut] (<https://orcid.org/0000-0002-7470-9261>), Kara Woo [aut] (<https://orcid.org/0000-0002-5125-4188>), Hiroaki Yutani [aut] (<https://orcid.org/0000-0002-3385-7233>), Dewey Dunnington [aut] (<https://orcid.org/0000-0002-9415-4582>), RStudio [cph, fnd] Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com> Repository: CRAN Date/Publication: 2020-06-19 13:00:03 UTC Built: R 4.0.3; ; 2020-11-20 18:07:33 UTC; unix -- File: /usr/lib/R/site-library/ggplot2/Meta/package.rds
描述包括对包的用途、包的创建者、报告错误的位置、发布时间等的简要说明。
其他资源
以下教程解释了如何在 R 中执行其他常见任务: