如何找出R中加载了哪个软件包版本? [英] How to find out which package version is loaded in R?

问题描述

我正在弄清楚如何使用我的大学集群.它已安装2个版本的R.系统范围的R 2.11(Debian 6.0)和R 2.14.2位于非标准位置.

I am in a process of figuring out how to use my university cluster. It has 2 versions of R installed. System wide R 2.11 (Debian 6.0) and R 2.14.2 in non-standard location.

我正在尝试将MPI与雪一起使用.我尝试运行的代码如下

I am trying to use MPI together with snow. The code I am trying to run is the following

library(snow)
library(Rmpi)
cl <- makeMPIcluster(mpi.universe.size()-1)
stopCluster(cl)
mpi.quit()

它在R 2.11上没有任何问题. (我使用mpirun -H localhost,n1,n2,n3,n4 -n 1 R --slave -f code.R启动脚本).现在，当我尝试使用R 2.14.2进行操作时，会收到以下消息:

It works without the problems on R 2.11. (I launch the script with mpirun -H localhost,n1,n2,n3,n4 -n 1 R --slave -f code.R). Now when I try to do it with R 2.14.2, I get the following message:

Error: This is R 2.11.1, package 'snow' needs >= 2.12.1
In addition: Warning message:

因此，似乎R加载了为R 2.11编译的程序包snow版本.我已将R 2.14下的snow安装到主文件夹中，并在代码中添加了以下几行:

So it seems that R loads the package snow version compiled for R 2.11. I've installed snow under R 2.14 into my home folder and I added the following lines to my code:

.libPaths("/soft/R/lib/R/library")
.libPaths("~/R/x86_64-pc-linux-gnu-library/2.11")
print(.libPaths())
print(sessionInfo())
print(version)

错误之前的输出确认我确实在运行R 2.14.2，并且我的R包文件夹位于搜索路径的第一位.但是我仍然得到错误.

And the output before the error confirms that I am indeed running R 2.14.2 and my R packages folder is first in search path. But I still get the error.

所以我的问题是如何确定R中加载了哪个版本的软件包?我可以通过installed.packages查看所有已安装的软件包，所以也许有些功能列出了已加载软件包的类似信息?

So my question is how do I determine which version of package is loaded in R? I can see with installed.packages all the packages which are installed, so maybe there is some function which lists similar information for loaded packages?

推荐答案

您可以使用sessionInfo()完成此操作.

You can use sessionInfo() to accomplish that.

> sessionInfo()
R version 2.15.0 (2012-03-30)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8    LC_PAPER=C                 LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] graphics  grDevices utils     datasets  stats     grid      methods   base     

other attached packages:
[1] ggplot2_0.9.0  reshape2_1.2.1 plyr_1.7.1    

loaded via a namespace (and not attached):
 [1] colorspace_1.1-1   dichromat_1.2-4    digest_0.5.2       MASS_7.3-18        memoise_0.1        munsell_0.3       
 [7] proto_0.3-9.2      RColorBrewer_1.0-5 scales_0.2.0       stringr_0.6       
> 

但是，根据下面的评论和答案，还有更好的选择

However, as per comments and the answer below, there are better options

> packageVersion("snow")

[1]"0.3.9"

[1] ‘0.3.9’

或者:

"Rmpi" %in% loadedNamespaces()

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