It may be desirable for cosmetic purposes to adjust the positions of the boxes along the x-axis, this can be achieved by specifying xpos. The constant, const, would need to be chosen so that on average the width of the individual boxes would be approximately 0.25, see Example below. For example, the widths could be scaled to be proportional to the subset population sizes as some function of the square root (const * sqrt(n)) or logarithm (const * log10(n)) of those sizes (n). The width option can be used to define different widths for the individual boxplots. When wend = 0.25 no whiskers or the data minima and maxima are plotted, only the medians and boxes representing the span of the middle 50% of the data are displayed.
#Box and whisker plot in r plus#
When wend = 0 the whiskers extend to the observed minima and maxima that are not plotted with the plus symbol. In a box-and-whisker plot there are two special cases. In either case they can be re-ordered using plot.order, see Examples. Also note that when using by the subsets are listed in the order that the factors are encountered in the data, but when using split the subsets are listed alphabetically. Note that when the split construct is used instead of by the whole split statement will be displayed as the default y-axis title. The split function can be useful if the factors to use in the boxplot are to be generated at run-time, see the last example below. Firstly by defining x and by, and secondly by combining the two variables with the split function. For example, if it is required to make the plot title smaller, add Details There are two ways to execute this function. For example, the size of the axis titles by setting cex.lab, and the size of the plot title by setting cex.main. Further arguments to be passed to methods.
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