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qpAdm_rotation()
).qpAdm_rotation()
procedure.Finally resumed the development of admixr! Apologies to everyone for having to wait so long. Thank you for your patience and feedback since the last release. I hope that things will start moving a little bit faster and we will reach version 1.0 in the next couple of months.
New features and improvements:
loginfo()
which operates on any output
object from an admixr wrapper and shows the full log output (the “log
file” in ADMIXTOOLS jargon) associated with the analysis. It also has
options for saving the log file to a permanent location and to only show
a log file for a target sample of interest (relevant for qpAdm
analyses with multiple targets at once).details
- the user will
always want to see the full analysis summary so this option is
redundant. It is still kept in qpWave - for now, until I figure
out how useful the full output actually is. Given the implementation of
loginfo()
above, we might remove the argument from
qpWave too at some point soon.download_data()
now fetches data from a
more stable location.read_geno()
and
write_geno()
, which makes it more convenient to write
custom analytic code working on data.frames.qpAdm()
output elements and changed its
function signature.keep_transversions()
to
transversions_only()
. The old function is now
deprecated.print.EIGENSTRAT()
now uses a pre-calculated numbers of
removed/remaining sites, instead of calculating them each and every
time.read_output()
made public.It turned out that dragging along Rcpp and Boost dependencies just for the VCF -> EIGENSTRAT conversion function causes unnecessary complications in the installation process. It’s not worth having it in the package if it would be used only by a small fraction of potential users.
This function has been removed and the vcf2eigenstrat
program is maintained in its own repository.
qpWave()
and
qpAdm()
functions.filter_bed()
now implemented simply by calling
bedtools
in the background. This turned out to be way
faster and memory efficient than the previous data.table-based
solution.group_labels()
update.download_data()
function that fetches the example data set
from the web.filter_sites
is now implemented using
data.table
and allows overlap with an arbitrary BED
file.qpDstat()
-> d()
, qpF4ratio()
->
f4ratio()
, etc).f4()
function (f4mode
parameter remains in the
d()
function though, as f4()
calls
d()
internally).The package now includes qpAdm functionality.
Formal tests for all implemented wrapper functions have been implemented.
Implemented:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.