问题描述
我有两台 R 版本为 3.0.0 的 linux 机器
I have two linux machines with R version 3.0.0
我已经在两台机器上安装了 4.8 版的预测包.
I've installed the forecast package version 4.8 on both machines.
两台机器具有相同版本的依赖项:
Both machines have the same version of dependencies :
>ip <- installed.packages()
>ip[c("forecast","Rcpp","RcppArmadillo"),c("Package","Version")]
Package Version
forecast "forecast" "4.8"
Rcpp "Rcpp" "0.10.2"
RcppArmadillo "RcppArmadillo" "0.4.000.4"
但是当我在另一个节点上运行它时,出现以下错误:
But when I run it on the other node I get the following error :
>library(forecast)
Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) :
namespace ‘Rcpp’ 0.10.2 is already loaded, but >= 0.11.0 is required
Error: package or namespace load failed for ‘forecast’
这些 R 版本有点旧,因为它们用在 Vertica 的R 语言包"中,我无法升级版本和 Rcpp 包.
These R versions are a little old because they are used in Vertica's 'R language pack' in which I can't upgrade the version and the Rcpp package.
我该如何解决这个问题或进一步研究问题?
How can I solve this or research the problem further?
推荐答案
也许您需要与 Vertica 谈谈?
Maybe you need to talk to Vertica?
简而言之,做以下事情之一:
In short, do one of these things:
与您的供应商合作,并坚持使用旧版本(这很糟糕:R 3.0.0 已被 3.0.1 和 3.0.2 取代,3.0.3 将于下周发布;Rcpp 0.10.2 是古代,我们现在在 0.11.0);
go with your vendor, and stick to old versions (which is bad: R 3.0.0 has been superseded by 3.0.1 and 3.0.2 with 3.0.3 coming out next week; Rcpp 0.10.2 is ancient, we are at 0.11.0 now);
更新您的软件包,但请确保同步进行(即使用构建预测版本时当前的 Rcpp 版本——您当前使用需要 Rcpp 0.11.0 的版本时违反了该版本)你只有 Rcpp 0.10.2 [很旧!!];
update your packages, but make sure yo do it in lockstep (ie use the Rcpp version that was current when your version of forecast was built -- which you currently violate using a version that need Rcpp 0.11.0 when you only have Rcpp 0.10.2 [ very old !! ];
忽略您的供应商并在本地库中更新,预先添加 .libPaths()
(有关详细信息,请参阅 help(Startup)
)
ignore your vendor and update in a local library, pre-pend the .libPaths()
(see help(Startup)
for details)
最后,如果可以的话,我发现您的问题标题具有误导性.我会说错误是由于您在基础 R(来自 Vertica)上安装了不匹配的版本.Rcpp、RcppArmadillo 和 predict 包在正常环境中都可以正常工作.
Lastly, if I may, I find the title of your question misleading. I'd say the error is due to your installation of non-matching version onto your base R (from Vertica). The packages Rcpp, RcppArmadillo and forecast all work just fine in a normal environment.
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