This issue contains a list of tasks and fixes that need to be addressed until the next release. #### Bug list / small improvements of the existing components - [ ] fix the colour picking component for the case of more than 99 unique colours - [ ] decide if we will stick with `qualpalr` for generating the palettes of colours, or switch to something such as `randomcoloR`, `hues` or `colourlovers` #### Features - [ ] add the option to select the continuous colour palettes in the shiny sandbox panel using `paletteer` - [ ] add an option, near the `Show config` button, where the user could perform subsetting on the entire dataset based on metadata #### Performance improvements - [ ] ECS and ECC speedup - [ ] test if calculating the contingency matrix using `dgTMatrix` (with the two memberships being the i, j coords, and x a repeated 1) is faster - [ ] assess the impact of the calculation of minimum and maximum when calculating the contingency table - [ ] optimise the ECC based on the new contingency table function - generate the 1 vector only once, calculate the maximum and minimum only once - [ ] improve the calculation of the rank matrix using sparse and dense matrix - [ ] apply these improvements in a more generalisable way of applying the wilcoxon rank sum test
This issue contains a list of tasks and fixes that need to be addressed until the next release.
Bug list / small improvements of the existing components
qualpalrfor generating the palettes of colours, or switch to something such asrandomcoloR,huesorcolourloversFeatures
paletteerShow configbutton, where the user could perform subsetting on the entire dataset based on metadataPerformance improvements
dgTMatrix(with the two memberships being the i, j coords, and x a repeated 1) is faster