Install r studio on conda install#
The installation of Rstudio server requires administrator privileges, so it is generally good to install one server.Ģ. Install_ GitHub ("liulab dfci / Maestro") # download the R package from GitHub with the previous detailsġ. (1) R command: install packages("devtools") By default, the server will create an R folder under the current path and place R package below. If you want to install R package, you can also enter the R interface and directly use the R command to install it. Source activate R4.1 #4.1 indicates that R version is 4.1Ĭonda list #View currently installed softwareĬonda install r-stringi # r package starts with r -Ĭonda deactivate # Exit the current environmentģ. Install R program with conda conda info -envs # View environmentĬonda create -n R4.1 # Create a file named R4 1 environment For R, enter r directly on the Xshell command line and enter the R interface.Ģ. First of all, it seems that the server administrator of our school installed R and Rstudio server in advance, so I actually installed miniconda and configured its environment. #Set the channel address to be displayed when searchingġ. # Create a new virtual environment (clone the old name) Some common conda commands conda -versionĬonda create -name new_name clone old_name you can directly enter the library("MAESTRO"), because MAESTRO is not only an environment, but also an R package, which contains many functions.ģ. #When running MAESTRO, you need to activate the environment first, and then enter R. $ mamba create -n MAESTRO maestro=1.5.0 -c liulab-dfci # To make the installation faster, we recommend using mamba
The following is an example of the MAESTRO environment I need to configure. After that, you can add different channel s to create an independent conda environment. $ bash Miniconda3-latest-Linux-x86_64.sh # run to activate condaĢ. conda can install miniconda or anaconda $ wget 1, Installation and environment configuration of condaġ.
0 kommentar(er)
