chisq.out.test {outliers} | R Documentation |
Performs a chisquared test for detection of one outlier in a vector.
chisq.out.test(x, opposite = FALSE)
x |
a numeric vector for data values. |
opposite |
a logical indicating whether you want to check not the value with largest difference from the mean, but opposite (lowest, if most suspicious is highest etc.) |
This function performs a simple test for one outlier, based on chisquared distribution of squared differences between data and sample mean. It is not recommended today for routine use, because several more powerful tests are implemented (see other functions mentioned below). It was discussed by Dixon (1950) for the first time, as one of the tests taken into account.
A list with class htest
containing the following components:
statistic |
the value of chisquared-statistic. |
p.value |
the p-value for the test. |
alternative |
a character string describing the alternative hypothesis. |
method |
a character string indicating what type of test was performed. |
data.name |
name of the data argument. |
This test is known to reject only extreme outliers.
Lukasz Komsta
Dixon, W.J. (1950). Analysis of extreme values. Ann. Math. Stat. 21, 4, 488-506.
set.seed(1234) x = rnorm(10) chisq.out.test(x) chisq.out.test(x,opposite=TRUE)