Ubuntu 18安装RVAideMemoire报错：mixOmics缺失及R3.4.4兼容问题求助

Got it, let's work through this installation problem step by step. The root issue here is that R 3.4.4 is a pretty old release (it came out back in 2018), and Ubuntu 18.04's default repositories don't have the compatible versions of dependencies like mixOmics that RVAideMemoire needs. Here are a few solid workarounds to get this installed:

1. Install Compatible Dependencies First #

Since R 3.4.4 pairs with Bioconductor version 3.6, we need to install the mixOmics build that works with this stack:

• First, install a legacy BiocManager version that supports R 3.4.4 (newer BiocManager releases drop support for old R versions):

  install.packages("https://cran.r-project.org/src/contrib/Archive/BiocManager/BiocManager_1.30.19.tar.gz", repos = NULL, type="source")
  

• Set Bioconductor to the 3.6 release (matching your R version):

  BiocManager::install(version = "3.6")
  

• Install the compatible mixOmics package:

  BiocManager::install("mixOmics", version = "3.6")
  

2. Install a Legacy Version of RVAideMemoire #

Newer RVAideMemoire releases require newer R versions, so you'll need an older build that's compatible with R 3.4.4. Use this command to install the archived version:

install.packages("https://cran.r-project.org/src/contrib/Archive/RVAideMemoire/RVAideMemoire_0.9-77.tar.gz", repos = NULL, type="source")

Note: Version 0.9-77 is confirmed to work with R 3.4.x—avoid newer releases as they'll throw dependency mismatch errors.

3. Fix Source Compilation Errors #

If you hit errors during source installation, make sure you have the required system libraries installed on Ubuntu 18.04. These are needed to compile R packages from source:

sudo apt-get update && sudo apt-get install r-base-dev libcurl4-openssl-dev libssl-dev libxml2-dev

Quick Explanation #

R and its package ecosystem move fast—most modern package updates drop support for older R versions like 3.4.4. By targeting archived, compatible versions of both mixOmics and RVAideMemoire, you're aligning the package versions with your specific R and OS setup, which resolves the dependency conflicts.

内容的提问来源于stack exchange，提问作者Juan Acosta