Install tidymass

If you haven’t installed R or RStudio on your PC or Mac, please install them before proceeding. Otherwise, you can skip these steps.

如果您尚未在您的PC或Mac上安装R或RStudio,请在继续之前先安装它们。否则,您可以跳过这些步骤。

Install R

Download the R and install it.

下载R并安装。

👉 Refer this blog

Install RStudio

Then install RStudio. Download the RStudio and then install it.

然后安装RStudio。下载RStudio,然后进行安装。

Select the free version of RStudio Desktop.

👉 Refer this blog

Open the RStudio

Then open the RStudio

Update R

tidymass require R version > 4.1. Please update your R if the version < 4.1.

You can check your R version in your console:

version
##                _                           
## platform       aarch64-apple-darwin20      
## arch           aarch64                     
## os             darwin20                    
## system         aarch64, darwin20           
## status                                     
## major          4                           
## minor          4.1                         
## year           2024                        
## month          06                          
## day            14                          
## svn rev        86737                       
## language       R                           
## version.string R version 4.4.1 (2024-06-14)
## nickname       Race for Your Life

If your R version is < 4.1, please download and install the latest version of R, and then restart your R.

Install tidymass from tidymass.org

Copy and paste the below code in your console.

source("https://www.tidymass.org/tidymass-packages/install_tidymass.txt")
install_tidymass(from = "tidymass.org")

You can also use this method to install one specific package. For example, if you only want to install metID.

install_tidymass(from = "tidymass.org", which_package = "metid")

Demo video is bellow:

If above code doesn’t work, try to change the method argument.

  1. “auto”

  2. “internal”

  3. “libcurl”

  4. “wget”

  5. “curl”

Install tidymass from GitHub

Copy and paste the below code in your console.

if(!require(remotes)){
  install.packages("remotes")
}
remotes::install_github("tidymass/tidymass", dependencies = TRUE)

Some issues

  1. During the installation, it will ask if you want to update some packages for few times, just enter Enter or Return key to skip it.

  2. If there is a error like below:

Error: Failed to install ’tidymass’ from GitHub: HTTP error 403. API rate limit exceeded for 171.66.10.237. (But here’s the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.)

Try to resolve it by:

  • In you R console, type this code:
if(!require(usethis)){
  install.packages("usethis")
}
usethis::create_github_token()

It will open a page in browser, and create a “New personal access token” and copy it.

  • Then type this code:
usethis::edit_r_environ()

and then add one line like below:

GITHUB_PAT=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

The GITHUB_PAT should be yours that is created in step 1.

And then restart R session and try again.

Install tidymass from GitLab

Copy and paste the below code in your console.

if(!require(remotes)){
  install.packages("remotes")
}
remotes::install_gitlab("tidymass/tidymass", dependencies = TRUE)

Install tidymass from Gitee

If you are in China, you can try to install tidymass from Gitee. Copy and paste the below code in your console.

if(!require(remotes)){
  install.packages("remotes")
}
remotes::install_git(url = "https://gitee.com/tidymass/tidymass", dependencies = TRUE)

If you can’t install tidymass successfully, please contact us by

or leave me a comment below.

Session information

sessionInfo()
## R version 4.4.1 (2024-06-14)
## Platform: aarch64-apple-darwin20
## Running under: macOS 15.0
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: Asia/Singapore
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## loaded via a namespace (and not attached):
##  [1] digest_0.6.37     R6_2.5.1          bookdown_0.40     fastmap_1.2.0    
##  [5] xfun_0.47         blogdown_1.19     cachem_1.1.0      knitr_1.48       
##  [9] htmltools_0.5.8.1 rmarkdown_2.28    lifecycle_1.0.4   cli_3.6.3        
## [13] sass_0.4.9        jquerylib_0.1.4   compiler_4.4.1    rstudioapi_0.16.0
## [17] tools_4.4.1       evaluate_0.24.0   bslib_0.8.0       yaml_2.3.10      
## [21] jsonlite_1.8.8    rlang_1.1.4
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