Set the working directory to the parent folder of the script file in R

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I would like to set the working directory of my scripts to the parent directory of the file.

My folder structure is projet/code/test.R

In the script 'test.R', I wrote:

getwd()
setwd(dirname(getwd()))
print(getwd())

However, the working directory will depend on where I source the script in the Terminal.

In the Terminal, I launched the script from the folders 'project' and 'project/code' and got the following results:

~/Documents/project: Rscript code/test.R 
~/Documents/project
~/Documents

~/Documents/project/code: Rscript test.R
~/Documents/project/code
~/Documents/project

I would like a way of finding the directory in which the file is located.

My session info is here:

> sessionInfo()
R version 3.4.0 (2017-04-21)
Platform: x86_64-apple-darwin16.5.0 (64-bit)
Running under: macOS Sierra 10.12.6

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK.dylib

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

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

other attached packages:
[1] bindrcpp_0.2 dplyr_0.7.2 

loaded via a namespace (and not attached):
 [1] Biobase_2.36.2             jsonlite_1.5              
 [3] bit64_0.9-7                splines_3.4.0             
 [5] Formula_1.2-2              assertthat_0.2.0          
 [7] stats4_3.4.0               latticeExtra_0.6-28       
 [9] blob_1.1.0                 GenomeInfoDbData_0.99.0   
[11] yaml_2.1.14                RSQLite_2.0               
[13] backports_1.1.0            lattice_0.20-35           
[15] glue_1.1.1                 digest_0.6.12             
[17] GenomicRanges_1.28.4       RColorBrewer_1.1-2        
[19] XVector_0.16.0             checkmate_1.8.3           
[21] colorspace_1.3-2           htmltools_0.3.6           
[23] Matrix_1.2-10              plyr_1.8.4                
[25] DESeq2_1.16.1              XML_3.98-1.9              
[27] pkgconfig_2.0.1            pheatmap_1.0.8            
[29] genefilter_1.58.1          zlibbioc_1.22.0           
[31] purrr_0.2.3                xtable_1.8-2              
[33] scales_0.4.1               BiocParallel_1.10.1       
[35] htmlTable_1.9              tibble_1.3.3              
[37] annotate_1.54.0            IRanges_2.10.2            
[39] ggplot2_2.2.1              SummarizedExperiment_1.6.3
[41] nnet_7.3-12                BiocGenerics_0.22.0       
[43] lazyeval_0.2.0             survival_2.41-3           
[45] magrittr_1.5               evaluate_0.10.1           
[47] memoise_1.1.0              foreign_0.8-69            
[49] tools_3.4.0                data.table_1.10.4         
[51] matrixStats_0.52.2         stringr_1.2.0             
[53] S4Vectors_0.14.3           munsell_0.4.3             
[55] locfit_1.5-9.1             cluster_2.0.6             
[57] DelayedArray_0.2.7         AnnotationDbi_1.38.2      
[59] compiler_3.4.0             GenomeInfoDb_1.12.2       
[61] rlang_0.1.2                grid_3.4.0                
[63] RCurl_1.95-4.8             rstudioapi_0.6            
[65] htmlwidgets_0.9            rmarkdown_1.6             
[67] bitops_1.0-6               base64enc_0.1-3           
[69] labeling_0.3               gtable_0.2.0              
[71] DBI_0.7                    R6_2.2.2                  
[73] gridExtra_2.2.1            knitr_1.17                
[75] bit_1.1-12                 rprojroot_1.2             
[77] bindr_0.1                  Hmisc_4.0-3               
[79] stringi_1.1.5              parallel_3.4.0            
[81] Rcpp_0.12.12               geneplotter_1.54.0        
[83] rpart_4.1-11               acepack_1.4.1

Thanks.

Best, C.

2 Answers
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