Usage
hotellingsTest(tracks, dim = c("x", "y"), step.spacing = 0, plot = FALSE, add = FALSE, ellipse.col = "blue", ellipse.border = "black", conf.level = 0.95, ...)
Arguments
tracks
the tracks whose biasedness is to be determined.
dim
vector with the names of the track's
dimensions that are to be considered. By default c("x", "y").
step.spacing
How many positions are to be left out between
the steps that are considered for the test. For persistent motion, subsequent
steps will be correlated, which leads to too low p-values because Hotelling's
test assumes that the input data is independent. To avoid this, the resulting
p-value should either be corrected for this dependence (e.g. by adjusting
the degrees of freedom accordingly), or `step.spacing` should be set to a value
high enough to ensure that the considered steps are approximately independent.
plot
logical indicating whether the scatter of the step's directions,
origin of ordinates (green circle) and the mean of the data points (green
cross) are to be plotted. (In one dimension also the bounds of the
condfidence interval are given.) Plot works only in one or two dimensions.
add
whether to add the plot to the current plot (TRUE) or create a
ellipse.col
color with which to draw the confidence ellipse of the mean (for
1D, this corresponds to the confidence interval of the mean).
Use NA to omit the confidence ellipse.
ellipse.border
color of the confidence ellipse border. Use NA to omit
the border.
conf.level
the desired confidence level for the confidence ellipse.
...
further arguments passed on to plot.