# 通过conda安装纯净环境的R绘图合集

- conda create -n rplot -c conda-forge r-base=4.1.2 -y
- conda activate rplot
- conda install -c conda-forge r-seurat=4.1.0 -y
- conda install -c conda-forge r-irkernel=1.3 -y
- R
- IRkernel::installspec(name=’rplot’, displayname=’r-plot’)
- q()

## 火山图

- conda install -c bioconda bioconductor-enhancedvolcano=1.12.0 -y

## 和弦图

- conda install -c conda-forge r-circlize=0.4.14 -y

## 热图

- conda install -c bioconda bioconductor-complexheatmap=2.10.0 -y
- conda install -c conda-forge r-pheatmap=1.0.12 -y

## 调色板

- conda install -c conda-forge r-ggsci=2.9 -y

## iRGSEA

- conda install -c conda-forge r-biocmanager=1.30.16 -y
- conda install -c conda-forge r-devtools=2.4.3 -y
- conda install -c conda-forge r-domc=1.3.8 -y
- R

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    cran.packages <- c("msigdbr", "dplyr", "purrr", "stringr","magrittr",
                       "RobustRankAggreg", "tibble", "reshape2", "ggsci",
                       "tidyr", "aplot", "ggfun", "ggplotify", "ggridges",
                       "gghalves", "Seurat", "SeuratObject", "methods",
                       "devtools", "BiocManager","data.table","doParallel",
                       "doRNG")
    install.packages(cran.packages, ask = F, update = F)
    bioconductor.packages <- c("GSEABase", "AUCell", "SummarizedExperiment",
                               "singscore", "GSVA", "ComplexHeatmap", "ggtree",
                               "Nebulosa")
    BiocManager::install(bioconductor.packages, ask = F, update = F)
    devtools::install_local('~/github_repo/UCell-master.zip')
    devtools::install_local('~/github_repo/irGSEA-master.zip')

## DIY

- conda install -c conda-forge r-tidyverse=1.3.1 -y
- conda install -c conda-forge r-ggdendro=0.1.23 -y
- conda install -c conda-forge r-ggpubr=0.4.0 -y

生信 绘图
通过conda安装纯净环境的R绘图合集
https://occdn.limour.top/1561.html
Author
Limour
Posted on
February 24, 2022
Licensed under
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