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
usingggplot2.
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.