ggmice 0.1.1
New features
- New function
plot_miss()visualizes missing data indicator matrix (#123) - New
plot_trace()argumentlegendhides plot legend when set toFALSE(#165) -
plot_pred()now allowsmice::midsobjects as input data type (#132) - New
plot_trace()argumenttrendadds a trend line to plot when set toTRUE(#140)
Bug fixes
-
plot_pred()now correct labels predictor matrix entries-3,3and4as ‘exclusion-restriction’, ‘fixed effect’ and ‘random effect’ variables respectively (#128, #169) - All
plot_*()functions now parsevrbargument to recognize variable name(s) from object in global environment using!!notation (#157)
ggmice 0.1.0
CRAN release: 2023-08-07
Breaking changes
- Default plotting behavior
plot_pattern()creates missing data pattern plot with square tiles (#74) - Default plotting behavior
plot_pred()creates predictor matrix plot with colored tiles and shows predictor values (#71, #74)
New features
- New optional argument
plot_pred()shows methods vector with predictor matrix plot (#71) - New optional argument
plot_pattern()hides less frequent patterns (#77) - New optional argument
plot_pattern()hides legend caption (#111)
Bug fixes
- The
ggmice()function now displays all imputed data (incl. over-imputed data; #54) - The
ggmice()function now catches errors whenmappinginput contains log-transformation (#80) - The family of
plot_*functions now handle vector inputs forvrbargument (#80) - The family of
plot_*functions now handlematrixinputs fordataargument (#108) - The family of
plot_*functions now omit grid lines from tile plots (#35) - The
plot_pattern()function now handles anydata.frameinput fordataargument (#38, #77, #104, #112)
Minor changes
- Input validation for
dataargumentplot_*functions (#85) - Input validation for
vrbargumentplot_*functions (#80) - Input validation for
mappingargumentggmice()(#34, #90) - Vignette updates (#31, #35, #38) and other documentation (#45, #51)
- The
plot_pattern()function creates missing data pattern plot with more informative labels (#59, #111)
