R: Printing and Plotting Similarity Correlation Evaluation...

plot.eval.similarity.correlation {wordspace} | R Documentation

## Printing and Plotting Similarity Correlation Evaluation Results (wordspace)

### Description

Suitable printing and visualization of evaluation results from `eval.similarity.correlation`. The `print` method displays an evaluation summary (stored in attribute `"eval.result"`) after the full data frame. The `plot` method displays a scatterplot of gold standard ratings against DSM distances with optional regression line (`lowess`), a summary of evaluation results at the top, and various other formatting options.

### Usage

      ## S3 method for class 'eval.similarity.correlation'
    print(x, ...)

      ## S3 method for class 'eval.similarity.correlation'
    plot(x, y, line = TRUE,
         categories = NULL, cat.col = NA, cat.legend = "bottomleft",
         pch = 20, cex = 1, xlim = NULL, ylim = NULL,
         xlab = "human rating", ylab = "distributional model",
         main = attr(x, "taskname"), ...)

### Arguments

`x` | detailed evaluation report from `eval.similarity.correlation` (with `details=TRUE`)
`y` | unused, must not be specified
`line` | if `TRUE`, a non-linear regression line is added to the plot in order to indicate the precise relationship between gold standard ratings and DSM distances (based on the `lowess` smoother)
`categories` | a factor with one entry for each word pair in the evaluation task. If specified, points in the scatterplot are colour-coded according to the categories of the corresponding word pairs. Note that `categories` is evaluated within the data frame `x`, so any column of `x` can directly be used as a variable.
`cat.col` | a vector of colours to be used for the different categories (defaults to the standard palette built into R)
`cat.legend` | corner of the plot in which to display the legend box for category colours
`pch, cex` | symbol used for plotting and its size
`xlim, ylim` | range of values shown on the x-axis and y-axis, respectively
`xlab, ylab, main` | axis labels and main title of the plot
`...` | all other arguments are passed to the scatterplot function (`plot.default`) and can be used to set additional graphics parameters

### Details

Word pairs not found in the DSM are always shown as empty boxes in the scatterplot, regardless of the `pch` parameter.

### Author(s)

Stefan Evert (http://purl.org/stefan.evert)

### See Also

`eval.similarity.correlation`

### Examples

    ## Not run:
    plot(eval.similarity.correlation(WordSim353, DSM_Vectors, details=TRUE))

    ## End(Not run)

[Package wordspace version 0.2-6 Index]