Version 1.1.9 (CRAN, 2019-11-10)
- Improvements in ClassMDplot in the case of Big Data (e.g. Flow Cytometry data of CLL)
- bugfix ABCbarplot: x-axis shows now correct prozentual values between 1 and 100.
- Pixelmatrix is now significantly fast by using geom_raster instead of geom_tile.
- Bugfix MDplot: Several whitespread unique values in large data vectors are visualized correctly. Option "RobustGaussian=TRUE" now works also if only one column of data is given as input.
- Bugfix ParetoDensityEstimationV2: Assumes now the dirac delta distribution for one ore two unique values in a given vector of data of arbitrary length.
- All density estimation based function are now faster because Rcpp is used for the bottleneck stats function.
- zplot: Changed interpolation from akima to MBA due to licensing issues with akima, see https://www.user2017.brussels/uploads/bivand_gebhardt_user17_a0.pdf
- Bugfix MDplot: Blanks in colnames are caught and replaced by numbers.
Version 1.1.8 (CRAN, 2019-08-20)
- new implementation of Pareto density estimation (PDE), pareto radius and optimal number of bins for histograms.
- AdaptGauss package detached and new PDE attached to MD plot.
- ABCbarplot: Barplot with Sorted Data Colored by ABCanalysis which can be also used as a scree plot.
- Several minor documentatio corrections and bugfixes.
Version 1.1.7 (GitHub, 2019-04-17)
o Bugfix: In MD-plot Jitter Plot for colomuns with one unique value, in the case it is zero, corrected.
o Bugfix: In MD-plot statistical cases for colomuns with one unique value but more than 45000 cases corrected.
o Bugfix: In MD-plot does not crash anymore if columns exists with not one finite values but data has more cases than the sample size.
o Bugfix: Namespace of AdaptGauss package added for Pareto density estimation
o Bugfix: Regression line in QQplot fixed.
Version 1.1.6 (CRAN, 2019-03-08)
o Major Improvement: The MD-plot samples now data automatically above an threshold in order to be usuable for Big Data.
o Bugfixes: In MD-plot the testing against uniform distribution now works also for one feauture. A crash is fixed where a columns has not even one finite value.
o Bugfix: If colnames of Data are given in MD-plot but not unique, they are renamed to unique colnames.
o Bugfix: Plot3D checks now that the length of Cls is equal to the number of rows of data.
o Bugfix: ClassPDEplot did not plot all pdfs for SameKernelsAndRadius=0.
o Improvement: ClassMDplot now jitters points instead of visualizing pdf if not enough data in class is given.
o Bugfix: In Heatmap the x labels are now plotted correctly.
o Bugfix: In ClassMDplot class names now work correctly.
o Classplot and DualClassplot: Functions allow to plot one or two time series with a classification as scatter plots or line and scatter plots. Usefull to see if temporal clustering has time dependent variations and for Hidden Markov Models (see Mthrun/RHmm on GitHub).
Version 1.1.5 (CRAN, 2019-02-02)
o Bugfix: The statistical testing in the MD-plot now is omitted if not enough unique values are given in some features. In such a case, only a scatter plot is plotted.
o Naming Convention: Standardized plotting functions by removing "plot" in names except cases where it is conventional in other sources, e.g. MAplot. Older function names will be removed in the next CRAN version.
o plotWorldmap renamed to Worldmap
o plotChoroplethMap renamed to Choroplethmap
o ClassBoxPlot renamed to ClassBoxplot
o fanPlot renamed to Fanplot
o pieChart renamed to Piechart
o CrossTablePlot renamed to Crosstable
o slopeChart renamed to Slopechart
o plot3D renamed to Plot3D
o InspectScatterOfData renamed to InspectScatterplots
o PixelMatrixPlot renamed to Pixelmatrix
o ShepardScatterPlot renamed to Sheparddiagram
o ShepardDensityPlot renamed to ShepardPDEscatter
o DualAxisLineChart renamed to DualaxisLinechart
o SilhouettePlot renamed to Silhouetteplot
o BoxplotData renamed to InspectBoxplots
o QQplotWithFit renamed to QQplot
o nanPlot is deprecated. The new function is PlotMissingvalues.
o ClassViolinPlot is deprecated. The new function is ClassMDplot.
Version 1.1.4 (GitHub, 2018-11-17)
o SignedLog: Allows to transform negativ values with logarithm.
o Improvement: MD-plot allows for Scaling and Ordering of data and plots scattered points if a column has not enough values to perform density estimation.
o Bugfix: stat_pde_density now works for only one value if other values are NaN.
Version 1.1.4 (CRAN, 2018-10-21)
o DualAxisLineChart enables to visualize to lines in one plot overlaying them using ploty (e.g. two time series with two ranges of values)
o Bugfix: PDEscatter now removes non-numeric values with na.rm=TRUE before xlim and ylim are defined
o ProductRatioPlot: The plot is useful in the case where there are many instances of very small values, but a small number of very large ones
o CrossTablePlot: Presents a heatmap with values and a cross table of given Data matrix of two features and a bin width or percentualized values
o Update: plot3D function and documentation improved.
Version 1.1.3 (GitHub, 2018-07-07)
o Improvement: MD-plot layout changes and plotting paramater added.
o InspectCorrelation now visualizes the density and calcluates the spearman correlation index as a shortcut to PDEscatter.
o Minor bugifx: MD-plot now uses ggExtra::rotateTextX() for better xaxis alignment of text.
Version 1.1.2 (GitHub, 2018-07-02)
o Bugfix: InspectDistances methods argument now passed on to parallelDist::parDist.
Version 1.1.1 (CRAN 2018-06-30)
o Improved visualization of MD-plot.
Version 1.1.0 (GitHub)
o Vignette generated.
o Bugfix: authors stated in Description regarding functions which were used in other dbt packages instead of this package.
Version 1.0.9 (GitHub)
o ClassViolinPlot build on top of stat_pde_density for Data with Clustering.
o Bugfix in stat_pde_density for special case of one value.
o parallelDist integrated for faster distance computations.
Version 1.0.8 (GitHub)
o Bugfix in stat_pde_density for special case of one value.
o Minor bugfix in PDEscatter.
Version 1.0.7 (GitHub)
o MD-plot: stat_pde_density added in order to integrate concept with ggplot2.
Version 1.0.1-1.0.6 (GitHub)
o ClassBoxPlot function added for Data with Clustering.
o ClassPDEplot function added for Data with Clustering.
o ClassPDEplotMaxLikeli function added for Data with Clustering.
o Minor bugfix in InspectVariable function.
o Bugfix in internpiechart.
Version 1.0.0 (CRAN, 2018-05-06)
o Complete package generated.