Write a rubias object from a tidy data frame or GDS file/object.
write_rubias(
data,
strata = NULL,
filename = NULL,
parallel.core = parallel::detectCores() - 1
)
(4 options) A file or object generated by radiator:
tidy data
Genomic Data Structure (GDS)
How to get GDS and tidy data ?
Look into tidy_genomic_data
,
read_vcf
or
tidy_vcf
.
(optional, tibble file or object) This tibble of individual's
metadata must contain
four columns: SAMPLE_TYPE, REPUNIT, COLLECTION, INDIVIDUALS
. Those columns
are described in rubias.
Default:strata = NULL
. With default, SAMPLE_TYPE
is filled
with reference
. REPUNIT
and COLLECTION
will be filled by
the STRATA
or POP_ID
column found in the data.
The prefix for the name of the file written to the working directory.
Default: filename = NULL
.
With default, only the rubias object is generated. The filename will be appended
_rubias.tsv
.
(optional) The number of core used for parallel
execution during import.
Default: parallel.core = parallel::detectCores() - 1
.
A rubias object in the global environment and a file is written in the
working directory if filename
argument was used.
Moran BM, and Anderson, E. C. 2018 Bayesian inference from the conditional genetic stock identification model. Can. J. Fish. Aquat. Sci. 76: 551-560.
Anderson, Eric C., Robin S. Waples, and Steven T. Kalinowski. (2008) An improved method for predicting the accuracy of genetic stock identification. Canadian Journal of Fisheries and Aquatic Sciences 65, 7:1475-1486.
Anderson, E. C. (2010) Assessing the power of informative subsets of loci for population assignment: standard methods are upwardly biased. Molecular ecology resources 10, 4:701-710.
/hrefhttps://github.com/eriqande/rubiasrubias: genetic stock identification (GSI) in the tidyverse.