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Test of Mean Orientations

Source: R/tests.R
fisher_ftest.Rd

Test against the null-hypothesis that the samples are drawn from the same Fisher population.

Usage

fisher_ftest(x, y, level = 0.95, na.rm = TRUE)

Arguments

x, y

objects of class "Vec3", "Line", "Ray", or "Plane", where the rows are the observations and the columns are the coordinates.

level

numeric. Confidence level (\(1-\alpha\)). Default is 0.95

na.rm

logical. Whether NA values should be removed before the computation proceeds.

Value

object of class "Test"

See also

Other tests: bingham_test(), fisher_goodness_of_fit(), fisher_kent_test(), rayleigh_test3(), watson_symmetry_test(), wellner()

Examples

set.seed(20250411)
x <- rvmf(100, mu = Line(120, 50), k = 20)
y <- rvmf(100, mu = Line(180, 45), k = 20)

stereoplot()
stereo_point(x, col = 1)
stereo_point(y, col = 2)


fisher_ftest(x, y)
#> 
#> 	Fisher F-test for a common mean direction
#> 
#> statistic = 237.14, df = 2, df = 396, p-value < 2.2e-16
#> critical value (95% confidence level) = 3.0185
#> null hypothesis rejected at the 95% confidence level: yes
#> further statistics:
#>        Rx        Ry         R 
#>  95.38633  95.35390 179.65004 
#> source: Fisher, Lewis & Embleton (1987), sec. 7.2.2 
#>