scores | R Documentation |
This function calculates normal, t, chi-squared, IQR and MAD scores of given data.
scores(x, type = c("z", "t", "chisq", "iqr", "mad"), prob = NA, lim = NA)
x |
a vector of data. |
type |
"z" calculates normal scores (differences between each value and the mean
divided by sd), "t" calculates t-Student scores (transformed by |
prob |
If set, the corresponding p-values instead of scores are given. If value is set to 1, p-value are returned. Otherwise, a logical vector is formed, indicating which values are exceeding specified probability. In "z" and "mad" types, there is also possibility to set this value to zero, and then scores are confirmed to (n-1)/sqrt(n) value, according to Shiffler (1998). The "iqr" type does not support probabilities, but "lim" value can be specified. |
lim |
This value can be set for "iqr" type of scores, to form logical vector, which values has this limit exceeded. |
A vector of scores, probabilities, or logical vector.
Lukasz Komsta, corrections by Alan Richter
Schiffler, R.E (1998). Maximum Z scores and outliers. Am. Stat. 42, 1, 79-80.
mad
, IQR
, grubbs.test
,
set.seed(1234) x = rnorm(10) scores(x) scores(x,prob=1) scores(x,prob=0.5) scores(x,prob=0.1) scores(x,prob=0.93) scores(x,type="iqr") scores(x,type="mad") scores(x,prob=0)
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