Last updated: 2020-06-04

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Knit directory: STUtility_web_site/

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html f14518c Ludvig Larsson 2020-06-04 Build site.
html efd885b Ludvig Larsson 2020-06-04 Build site.
html 4f42429 Ludvig Larsson 2020-06-04 Build site.
Rmd 3660612 Ludvig Larsson 2020-06-04 update website
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Rmd 8f9876e jbergenstrahle 2019-11-29 Update
Rmd 03c9b7c jbergenstrahle 2019-11-19 Added JB
html 03c9b7c jbergenstrahle 2019-11-19 Added JB
html be8be1d Ludvig Larsson 2019-10-31 Build site.
html f42af97 Ludvig Larsson 2019-10-31 Build site.
html 0754921 Ludvig Larsson 2019-10-31 Build site.
html 908fe2c Ludvig Larsson 2019-10-31 Build site.
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Rmd 429c12c Ludvig Larsson 2019-10-31 Publish the initial files for myproject
html f0363a2 Ludvig Larsson 2019-10-31 Build site.
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Prerequisite

STUtility requires R version >=3.6 and two packages (SingleCellExperiment and multtest) within the Bioconductor suit needs to be installed prior to installing STUtility from github:

If you don’t have bioconductor installed:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install()
BiocManager::install("SingleCellExperiment")
BiocManager::install("multtest")

To install STUtility from github (currently only option), you need to have devtools and the NNLM R package installed:

install.packages("devtools")
devtools::install_hithub("linxihui/NNLM")

Using devtools, execute the following from the R console to install STUtility:


devtools::install_github(
    "jbergenstrahle/STUtility"
)

Note on MacOS

If you run into Error in dyn.load(file, DLLpath = DLLpath, ...):, make sure you have XQuartz installed, which can be downloaded from xquartz.org

 

A work by Joseph Bergenstråhle and Ludvig Larsson

 


sessionInfo()
R version 4.0.0 (2020-04-24)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Mojave 10.14.6

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.4.6    rprojroot_1.3-2 digest_0.6.25   later_1.0.0    
 [5] R6_2.4.1        backports_1.1.6 git2r_0.27.1    magrittr_1.5   
 [9] evaluate_0.14   stringi_1.4.6   rlang_0.4.6     fs_1.4.1       
[13] promises_1.1.0  whisker_0.4     rmarkdown_2.1   tools_4.0.0    
[17] stringr_1.4.0   glue_1.4.0      httpuv_1.5.2    xfun_0.13      
[21] yaml_2.2.1      compiler_4.0.0  htmltools_0.4.0 knitr_1.28