condvis: Conditional Visualisation for Statistical Models ========================================================= News --------------------------------------------------------- Version 0.5-1 2018-09-13 * Changed check for zero variance (introduced in 0.5-0) to work for factors. * Fixed S3 method treatment for `interpolate`. Version 0.5-0 2018-09-01 * Fixed bug where `arrangeC` would return pairs of the same variable if there were no bivariate relationships detected by `savingby2d`. * Added a generic function `interpolate`, with methods for standard data types. * Added an error for negative threshold dissimilarities in `similarityweight`. * Fixed bug where variables with zero variance caused an error in `similarityweight`. Version 0.4-3 2017-10-19 * Fixed bug where `ceplot.shiny` dropped `xc.cond` to a vector and threw an error. Version 0.4-2 2017-10-11 * New release for JSS publication. Small changes to documentation, and some default colours have been changed. Version 0.4-0 2016-10-17 * The 2-D histogram in `plotxc` has been made optional, and also allows a cap on the bin counts, to allow for skewed data. * In `similarityweight`, the weight values are no longer discretised. All values between 0 and 1 are allowed. * New unexported function `weightcolor` used to weight colours using similarity weight. * Fixed bug; not passing `pch` to snapshot for `ceplot.interactive`. Version 0.3-5 2016-09-26 * In `plotxc`, can chop off long tails for scatterplot/2-d histogram, controlled by `trim` parameter. * pass plotting parameters for models from top-level `ceplot` call. See parameter `modelpar`. * allow `xlim` and `ylim` to be passed to section plot produced by `plotxs`. * corrected typo in `?similarityweight`, sigma --> threshold. * added snapshot feature to `condtour`. * changed treatment of conditioning predictors in `condtour` to be more like `ceplot`, plus a hacky fix to `update.xcplot` for `condtour` providing predictor values instead of mouseclicks. * corrected problem in `condtour`, where interpolated path omitted the final row. Also removed rownames from cluster centres. * diagnostic plot for `condtour`, `plotap` now shows approximate proportion of data visible, rather than approximate number of observations visible. Version 0.3-4 2016-08-04 * fixed incorrect parameter names in demo files. * fix to `plotxs` to allow `main` and `mar` to be specified. Version 0.3-3 2016-07-04 * fixed treatment of `pch` by condtour, was previously defaulting to 1 when it should have been 21 for background colours. * can now adjust `threshold` while using `condtour`. * added help link for `rsconnect` package in Shiny application. * added fix to `update.xsplot` where the fitted model was not updating properly, due to the section information remaining static. Version 0.3-2 * fixed bug with `rep` for `col` and `pch` where `length.out` was omitted, causing huge delays for `plotxs`. Version 0.3-1 * removed test which timed `similarityweight` (for CRAN) Version 0.3-0 2016-07-01 * removed daisy distance measure, and relevant contributors. * renamed `visualweight` to `similarityweight` and changed parameter names. * renamed parameters in `ceplot`. * Shiny implementation completely rewritten, see R/ceplot.shiny.R. * added Roxygen comments for documentation of exported functions. * added update methods to parallel coordinates and scatterplot matrix condition selector plots. * `condtour` can now handle mixed data (categorical and continuous). Version 0.2-2 2016-05-01 * updated contributors for copied code. * added simple example to README. Version 0.2-1 23 Feb 2016 * initial release on CRAN.