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.