TKRmarginmatrix: Marginplot Matrix

Description Usage Arguments Details Author(s) References See Also Examples

View source: R/TKRmarginmatrix.R

Description

Create a scatterplot matrix with information about missing/imputed values in the plot margins of each panel.

Usage

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TKRmarginmatrix(x, delimiter = NULL, col = c("skyblue", "red", "red4",
  "orange", "orange4"), alpha = NULL, hscale = NULL, vscale = NULL,
  TKRpar = list(), ...)

Arguments

x

a matrix or data.frame.

delimiter

a character-vector to distinguish between variables and imputation-indices for imputed variables (therefore, x needs to have colnames). If given, it is used to determine the corresponding imputation-index for any imputed variable (a logical-vector indicating which values of the variable have been imputed). If such imputation-indices are found, they are used for highlighting and the colors are adjusted according to the given colors for imputed variables (see col).

col

a vector of length five giving the colors to be used in the marginplots in the off-diagonal panels. The first color is used for the scatterplot and the boxplots for the available data, the second/fourth color for the univariate scatterplots and boxplots for the missing/imputed values in one variable, and the third/fifth color for the frequency of missing/imputed values in both variables (see ‘Details’). If only one color is supplied, it is used for the bivariate and univariate scatterplots and the boxplots for missing/imputed values in one variable, whereas the boxplots for the available data are transparent. Else if two colors are supplied, the second one is recycled.

alpha

a numeric value between 0 and 1 giving the level of transparency of the colors, or NULL. This can be used to prevent overplotting.

hscale

horizontal scale factor for plot to be embedded in a Tcl/Tk window (see ‘Details’). The default value depends on the number of variables.

vscale

vertical scale factor for the plot to be embedded in a Tcl/Tk window (see ‘Details’). The default value depends on the number of variables.

TKRpar

a list of graphical parameters to be set for the plot to be embedded in a Tcl/Tk window (see ‘Details’ and par).

...

further arguments and graphical parameters to be passed to pairsVIM and marginplot. par("oma") will be set appropriately unless supplied (see par).

Details

marginmatrix uses pairsVIM with a panel function based on marginplot.

The graphical parameter oma will be set unless supplied as an argument.

TKRmarginmatrix behaves like marginmatrix, but uses tkrplot to embed the plot in a Tcl/Tk window. This is useful if the number of variables is large, because scrollbars allow to move from one part of the plot to another.

Author(s)

Andreas Alfons, modifications by Bernd Prantner

References

M. Templ, A. Alfons, P. Filzmoser (2012) Exploring incomplete data using visualization tools. Journal of Advances in Data Analysis and Classification, Online first. DOI: 10.1007/s11634-011-0102-y.

A. Kowarik, M. Templ (2016) Imputation with R package VIM. Journal of Statistical Software, 74(7), 1-16

See Also

marginplot, pairsVIM, scattmatrixMiss

Examples

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data(sleep, package = "VIM")
## for missing values
x <- sleep[, 1:5]
x[,c(1,2,4)] <- log10(x[,c(1,2,4)])
marginmatrix(x)

## for imputed values
x_imp <- kNN(sleep[, 1:5])
x_imp[,c(1,2,4)] <- log10(x_imp[,c(1,2,4)])
marginmatrix(x_imp, delimiter = "_imp")

alexkowa/VIMGUI documentation built on June 3, 2017, 3:57 p.m.