本地安装GSVA（2个方法）

方法一：

library(GSVA)
Error in library(GSVA) : there is no package called ‘GSVA’
> library(gsva)
Error in library(gsva) : there is no package called ‘gsva’
> help(package = "GSVA")
Error in find.package(pkgName, lib.loc, verbose = verbose) :
  there is no package called ‘GSVA’
> q()

下一步：
在conda环境中 下载 ： conda install "/public/workspace/fanhaihua/bioconductor-gsva-1.50.0-r43ha9d7317_1.tar.bz2"  （本地安装）

你会看到界面：

Downloading and Extracting Packages:

## Package Plan ##

  environment location: /public/workspace/fanhaihua/miniconda3/envs/R4.4.1

  added / updated specs:
    - bioconductor-gsva[url=file:///public/workspace/fanhaihua/bioconductor-gsva-1.50.0-r43ha9d7317_1.tar.bz2]

The following NEW packages will be INSTALLED:

  bioconductor-gsva  <unknown>/linux-64::bioconductor-gsva-1.50.0-r43ha9d7317_1

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

重新打开R

> library(GSVA)
>

安装成功！

附件：https://anaconda.org/bioconda/bioconductor-gsva

相关包在上面这个链接里面下载

方法二：

先本地下载这个Bioconductor Spatialexperiment | Anaconda.org  R Magick | Anaconda.org和   R Magick | Anaconda.org

conda安装代码 (2个，下载的文件来源于上面的链接）

conda install "本地/bioconductor-spatialexperiment-1.12.0-r43hdfd78af_0.tar.bz2"

conda install conda-forge::r-magick

然后打开R

library(SpatialExperiment)

接下来重头戏！！

> library(GSVA)
Error in library(GSVA) : there is no package called ‘GSVA’
> install.packages(本地/GSVA_2.0.1.tar.gz", repos = NULL, type = "source")（Bioconductor - GSVA）

你就会看到    * DONE (GSVA)

最后再 library(GSVA)

> library(GSVA)
>