GitLab

Rebuilt section for creating internal dt. Added ObjectNumber to labels displayd in interactive trajectory plotting.

- option to upload cell IDs for removal
- option to calculate boxplots at particular time points with respect to a preceding point

Changed:
- hierarchical clustering made into a module

- trajPlot.R; cluster colours displayed properly when manually selecting clusters to display

- colours from dendrogram cut match those in the bard plot and in trajectory plot

- heatmap plotting function moved to auxfunc.R

- trajectory plotting and cluster distribution plot turned into modules

- optional stats in time series plotting
- optional overlap of boxplot/violin/dotplot

- recognize "*.os.x" and "*.os.y" as valid column names with X and Y positions
- increase fixed plot with of clustered time series

- default value of number of points to skip set to 1

- detecting columns with X & Y positions and plotting them in interactive tcourse plot
- option to skip Metadata_Site for contructing unique trackID if it already exists in the dataset
- interactive box plots (works poorly)
- static time course plot (no interaction)
- skipping time points in tcourses

- tab with stats optional
- added N to tab stats

- bin size for dot-plot as power of 10

- box-/dot-/violin plots at discrete time points

- modularized plot download

Added:
- download CSV with cellIDs and cluster assignment
- download CSV after cleaning

Initial commit

UI overhaul: side panel added

Added: colour trajectories according to their filteirng status, if mid.in column available in the dataset.

Added:
Load button
F-n data4trajPlot that prepares data based on column selections in the UI

Error shows up in app log when plotting.

"Warning: Error in <Anonymous>: cannot open file 'Rplots.pdf'"

Fix based on: https://github.com/ropensci/plotly/issues/494

Added in plotting f-n:
if (names(dev.cur()) != "null device") dev.off()
pdf(NULL)

shinyjs library added to ui.R