Major changes to filter_cv()
. Old
filter_cv()
would calculate the coefficient of variance of
the biological groups, calculate the average/median, and remove the
feature if the average/mean was above the threshold. To account for some
groups having high variation by default, the new
filter_cv()
will now zero out groups if they are above the
threshold. If every group in the feature has been zeroed out, we will
remove the feature.
filter_cv()
has been optimized to use c++ code, so
there should be significant speed improvements.
You are also now able to import data.frames
for peak
table input in import_data()
.
Initial CRAN submission.
Contains four main filters: filter_mispicked_ions()
,
filter_group()
, filter_cv()
, and
filter_insource_ions()
for the correction of tandem MS/MS
peaks.