{"package":"r-ggcorset","ecosystem":"conda","exists":true,"latest_version":"0.5.0","repository":"","license":"MIT","description":"Corset plots are a visualization technique used strictly to visualize repeat measures at 2 time points (such as pre- and post- data). The distribution of measurements are visualized at each time point, whilst the trajectories of individual change are visualized by connecting the pre- and post- values linearly. These lines can be coloured to represent the magnitude of change, or other user-defined value. This method of visualization is ideal for showing the heterogeneity of data, including differ","downloads_weekly":160,"deprecated":false,"health":{"score":49},"_cache":"db_only_bot","_partial":true,"_response_ms":0,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}