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vismi 0.9.5
Improvements
- Edited examples to reduce running time to pass CRAN submission
checks.
vismi 0.9.4
Improvements
- Edited documentation to pass CRAN submission checks.
- Added verbosity option to trelliscope functions.
vismi 0.9.3
Improvements
- Edited Description file to pass CRAN submission checks.
- Edited examples in order to reduce running time to pass CRAN
submission checks.
vismi 0.9.2
Improvements
- Provide customisable title and subtitle via
title and
subtitle arguments in all main functions. By default, uses
automatic titles based on selected variables. Can be set to
NULL to remove titles.
- Apply default aesthetics settings globally to all visualisations for
consistent appearance.
vismi 0.9.1
Bug Fixes
- Resolved issue with overlapping x-axis titles in interactive
visualisations.
- Fixed missing legends when certain imputed sets contained no data
points.
Improvements
- Adjusted title alignment in interactive visualisations using
plotly to match static version with ggplot2
style.
- Ensure display factor levels in a consistent manner
- Moved all axis titles font size and colour settings to the
default_aesthetics function to simplify future customisation and
maintenance.
- Change default color palette to
vismi_palette.
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 interactive 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.