biodavidjm / artMS

Analytical R Tools for Mass Spectrometry
GNU General Public License v3.0
14 stars 7 forks source link

issue of criteria of removing outliers #134

Closed alanazhouyuan closed 4 years ago

alanazhouyuan commented 4 years ago

Hi David By removing outliers, is it reasonable to keep the data within 3 standard deviations of the mean, rather than keep the data which abundance with 10 and 40. Because the distribution of the abundance may different in different data sets.

Best Yuan

codecov[bot] commented 4 years ago

Codecov Report

Merging #134 into master will decrease coverage by <.01%. The diff coverage is 0%.

Impacted file tree graph

@@           Coverage Diff            @@
##           master   #134      +/-   ##
========================================
- Coverage     0.1%   0.1%   -0.01%     
========================================
  Files          21     21              
  Lines        7365   7369       +4     
========================================
  Hits            8      8              
- Misses       7357   7361       +4
Impacted Files Coverage Δ
R/analysisQuantifications.R 0% <0%> (ø) :arrow_up:

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 294217f...f5ccef4. Read the comment docs.