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NEWS
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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.