My daily work mostly entails running the same data cleaning, pre- and post-processing functions over and over again. For weeks, and weeks. Months. Years.
This rough R package includes a collections of functions doing the completely different things, their only common denominator is that they save me time.
devtools::install_github("alesssia/timesaveR")
timesaveR is licensed under GNU GPL v3.
While some of the functions have been developed 100% by me, others are liberal (or not so liberal) adaptations of other people's work, several of whom I had lost track. I am happy to include attribution whenever I can: if you spot your or someone else's work, please let me know.
Enhancements:
Added a second function (LDtrait
) that queries the GWAS Catalog this time via the LDproxy Programmatic Access
LDproxy
returns also the queried SNP (rsID)
* All functions based on the LDproxy Programmatic Access are now suppressing messages written to stderr
.
Enhancements:
Improved inverse.normal
Improved handling of errors/warning in LDproxy
* estimate.heritability
now checks the confidence intervals when extracting the best model
Enhancements:
Improved handling of errors when linkage disequilibrium statistics are used
biomart.SNP.position
can now return also the variant alleles
* Added a function (biomart.SNP.rsID
) that returns the rsID given the chromosomal coordinates and the alleles
Enhancements:
* Functions biomart.SNPid.in.window
can now return also the variant alleles
Enhancements:
Functions biomart.*.in.window
can now return also the chromosomal coordinates
Added a function (biomart.SNP.position
) that returns the chromosomal coordinates of a given SNP
* Added functions to query the GWAS Catalog (GWAS.catalog.SNP
and GWAS.catalog.SNP.proxy
)
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