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MSPT: new submodule of Isoplot, able to analysis "pascal triangle" sample to validate experiment. (ref. Millard, Pierre, et al. 2014. “Isotopic Studies of Metabolic Systems by Mass Spectrometry: Using Pascal’s Triangle To Produce Biological Standards with Fully Controlled Labeling Patterns.” Analytical Chemistry 86 (20): 10288–95. https://doi.org/10.1021/ac502490g.)

Isoplot: New module to generate plot and statistical tests for isotopic MS data

Features added since last release: 
- rbase graphics show faster rendering than ggplot.
- users can apply yaxis minimum / maximum limits and steps size, for ggplots figures and rbase graphics
- boxplot with ggstatsplots, pdf and image outputs
- metadata template based on features table
- vertical / horizontal display, labels size control for ggplot outputs. 
- download all boxplots in png/jpg format in a single archive
- button to download tests datasets
- widget to output specific features 
- conditionnal popping buttons avoiding confusion
- new button to download all ACP files run / update ACP with one button.

Fixs: 
- metadata filters 
- disabling statistics tests when plotting individuals boxplots.

v1.5.0
- New widget allowing user to sum quantification of compounds belonging the same group
- PCA: combining factors, display ellipses or not
- Boxplots: pngs output for each graphic
- fixes

v1.4.1

add new input modules with filters widgets (datamods package)
add options for boxplots: coloring boxplots, custom y axis label, inform outliers or not, and reordering/stashing boxplot conditions (sortable package)
modularizing code
+debug 1.4.0

first release