hovPlot
function
graphs the components of the Brown and Forsyth test statistic.
hovPlot(x, data = sys.parent(), method = "bf", ## x is a formula transpose = TRUE, ...)
## users will normally use the formula above and will not call the
## method directly.
hovPlot.bf(x, group, ## x is the response variable y.name = deparse(substitute(x)), group.name = deparse(substitute(group)), transpose = TRUE, ...)
## users will normally use the formula above and will not call the
## panel function directly.
panel.hov(..., transpose = TRUE)
hovPlot
.
Response variable in hovPlot.bf
.TRUE
in R.
Normally TRUE
in S-Plus to force vertical boxplots."trellis"
object with three panels containing boxplots for each
group: The observed data "y"
, the data with the median
subtracted "y-med(y)"
, and the absolute deviations from the
median "abs(y-med(y))"
The Brown and Forsyth test statistic is
the $F$ statistic resulting from an ordinary one-way analysis of
variance on the data points in the third panel.
Brown, M.~B. and Forsyth, A.~B. (1974). Robust tests for equality of variances. Journal of the American Statistical Association, 69:364--367.
aov
, hov
data(turkey)
hov(wt.gain ~ diet, data=turkey)
hovPlot(wt.gain ~ diet, data=turkey)
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