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vismi 0.9.0
New Features
- Convergence diagnostics visualisation through
converge() function.
- Convergence diagnostics with trelliscope display through
converge_trelliscope() function.
vismi 0.8.1
Bug Fixes
- Fixed overlapping issues in interative visualisation:
- x-axis title with legend items
- left and right axis titles in subplots
vismi 0.8.0
New Features
- Support static visualisation for 3 numeric variables and 3 factor variables for
vismi.data.frame() method.
- Support interactive visualisation for 3 factor variables for
vismi.data.frame() method.
- Added
verbose argument to print missing data summary ### Refactoring
- Validation checks
- Aesthetics for panel labels and titles
vismi 0.7.0
Deprecations
- Deprecated
trelliscopejs_con() and trelliscopejs_cat(). ### New Features
-
ts_overimp() Support showing all overimputation 1D plots for all numeric and factors variables through trelliscopejs
vismi 0.6.0
New Features
- subset imputed datasets for plotting via
imp_idx or m argument in vismi() function. ### Bug Fixes
- Misalignment issue of using plotly subplots in
.plotly_box_facet(). ### Refactoring
- Refactored other functions.
vismi 0.5.0
Refactoring
- Refactored all overimputation visualisation functions for 1D & 2D.
-
overimpute() function refactored to improve code readability and maintainability.
- Added S3 methods for visualising overimputation object.
- Added
vismi.data.frame method.
-
vismi(data, imp_list, x, y, z,...) visualises multiple imputed datasets for up to 3 variables.
- Added
vismi.overimp method.
-
vismi(obj, x, y, z,...) visualises overimputation results
vismi 0.4.0
New Features
- Added 1D, 2D, and 3D interactive inspection visualisation using
plotly.
vismi 0.3.0
New Features
- Added more features for static visualisation using
ggplot2.
vismi 0.2.0
Refactoring
- Added preprocessing function
- Default parameters handling
- A high-level main function
vismi() will be used to call all other inspection functions.
vismi 0.1.0
Initial Release
- First development version releases on Github.
- As illustrated in my PhD thesis.