dcl_stats_n_plots - v0.3.1

Includes implementation of comparison of multiple dependent samples (i.e. repeated measurements) of a single group.

Also includes minor bug fixes

- Jupyter Notebook
Published by DennisDoll over 3 years ago

dcl_stats_n_plots - Release of refactored dsp

This package release contains both, the refactored and the original version, for backward compatibility. However, the original version will be deprecated soon. Apart from major refactoring efforts that will foster the maintenance and extendability of dsp, the refactored version also brings about several new features for the user:

1) It is now possible to save and to load your customization settings. This will foster the creation of multiple plots that follow the same style / layout, however, please also see #8.

2) The export of the plot can now also be adjusted within the GUI. The user can chose between different filetypes (e.g. PNG, PDF, or SVG), set the resolution, and customize the filename

3) A bunch of additional, minor features, like being able to customize the width of boxplots or their linewidth, and an entire new layout to improve overall usability

- Jupyter Notebook
Published by DennisDoll almost 4 years ago

dcl_stats_n_plots - v0.1.5

Dashboards are live!

Dashboard module was added with an initial use case "Alexiapatchedcellsvsbaseline"

More to come soon!

- Jupyter Notebook
Published by DennisDoll over 4 years ago

dcl_stats_n_plots - v0.1.3

Minor bug fixes, e.g. when downloading the statistical results

- Jupyter Notebook
Published by DennisDoll over 4 years ago

dcl_stats_n_plots - v0.1.1

Initial built of GUI and API completed

With this patch, annotations of the statistic results in the plot from the API are now possible.

It also contains some minor bug fixes: - fixed_value was not extracted correctly when the API was used - instead of using params as an argument in the plotting functions, it is now used as kwargs dict

- Jupyter Notebook
Published by DennisDoll over 4 years ago

dcl_stats_n_plots - v0.1.0

First release

Initial rebuild from previous repo is complete.

The codebase was restructured to follow object oriented programming conventions.

While the focus is still on the GUI, the core functionalities (i.e. the statistical analyses and the creation of annotated plots) are now maintained in separated modules ("stats.py" and "plots.py"), which enables the use of dclstatsn_plots also outside of the GUI.

- Jupyter Notebook
Published by DennisDoll over 4 years ago