R: Crosstable plot

Crosstable {DataVisualizations} | R Documentation

## Crosstable plot

### Description

Presents a heatmap with values and a cross table of given Data matrix of two features and a bin width or percentualized values. In this approach the bin width is fixes. A more general way to approach this is the kernel density estimation plot of `PDEscatter`.

### Usage

    Crosstable(Data, xbins = seq(0, 100, 5), ybins = xbins,

    NormalizationFactor = 1, PlotIt = TRUE, main='Cross Table',

    PlotText=TRUE,TextDigits=0,TextProbs=c(0.05,0.95))

### Arguments

`Data` | [1:n,1:2] matrix of two features from which the cross table should be generated from
`xbins` | [1:k] start of k bins as a vector generated with `seq` of the first feature of data. Default setting assumes percentiled values between zero and 100.
`ybins` | [1:k] start of k bins as a vector generated with `seq` of the second feature of data. Normally the same for both features, other settings are only possible if the length `k` is equal.
`NormalizationFactor` | Optional, Data feautures can be seen as regular time series, e.g. 1 measurement for a minute, in this case it is useful to normalize the output, e.g. to hours, then `NormalizationFactor=60`
`PlotIt` | Optional, Plots the heatmap if `TRUE`. The first feature is on the x-axis (left to right) and the second on y-axis (bottom to top).
`main` | In case of for `PlotIt=TRUE`: title of plot, see `title`
`PlotText` | In case of for `PlotIt=TRUE`: Default TRUE: plots text in heatmap with the values of the crosstable
`TextDigits` | In case of for `TextDigits=TRUE`: integer indicating the number of decimal places to use in `round`.
`TextProbs` | In case of for `TextDigits=TRUE`: [1:2] numeric vector of two probabilities defining the thresholds for white text to grey text and grey text to black text, e.g. below the first threshold (Default 0.05) all values (5% of values) will be printed in white because the lowest values of the heatmap are blue. The second value of 0.95 works well if cross table has many zeros; uses `quantile` internally.

### Details

The interval in each bin is closed to the left and opened to the right. The cross table can be seen as a two-dimensional histogram. The idea to add histograms to the table is taken from [Charpentier. 2014].

### Value

The cross table in `invisible` mode which depicts the number of values (frequency) in an specific range with regard to two features.

The first feature is on the x-axis (left to right), and the second on y-axis (top to bottom) contrary to the plot where it is bottom to top.

### Note

For non percentiled values the `PlotText` part does not seem always to work, but I currently dont know why the text does not always overlap with the heatmap.

### Author(s)

Michael Thrun

### References

[Charpentier. 2014] Charpentier, Arthur, ed. Computational actuarial science with R. CRC Press, 2014.

### See Also

`table`, `image`, `PDEscatter`

### Examples

    data(ITS)
    data(MTY)
    #simple but not a good transformation
    Data=(cbind(ITS/max(ITS),MTY/max(MTY)))*100
    #choice for bins could be better
    Crosstable(Data)

[Package DataVisualizations version 1.2.3 Index]