Compute the conditional permutations

Compute the conditional permutations

Usage

X_perm(X, Z, n_perm = 100)

Arguments

X

a numeric or factor vector of length n containing the variable to be tested (the condition to be tested). Multi-variables X are supported if Z is NULL.

Z

a numeric vector of length n containing the covariate. Multiple variables are not allowed.

n_perm

the number of permutations. Default is 100.

Value

a list with the permuted label vector for each permutation

Details

The permutations are conditional on Z:

• When Z is NULL, whole rows of X are permuted uniformly.

• When Z is a factor, integer, logical or character, X is permuted independently within each stratum of Z: the empirical association between X and Z is preserved exactly.

• When Z is continuous, no exact strata exist and the draw is delegated to perm_cont, which matches each observation to a swap of similar fitted value of X given Z.

See also

perm_cont, cit_perm

Examples

set.seed(123)
X <- rbinom(n = 100, size = 1, prob = 0.5)
Z <- rnorm(100, 0, 1)
X_perm(data.frame(X), data.frame(Z), 100)
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#> [[25]]
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#> [[36]]
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#> [[37]]
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#> [[38]]
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#> [[39]]
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#> [[41]]
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#> [[42]]
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#> [[43]]
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#> [[44]]
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#> [[45]]
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#> [[46]]
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#> [[47]]
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#> [[48]]
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#> [[50]]
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#> [[51]]
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#> [[52]]
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#> [[53]]
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#> [[54]]
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#> [[55]]
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#> [[56]]
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#> [[57]]
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#> [[58]]
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#> [[59]]
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#> [[60]]
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#> [[61]]
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#> [[62]]
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#> [[63]]
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#> [[70]]
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#> [[71]]
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#> [[72]]
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#> [[74]]
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#> [[75]]
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#> [[76]]
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#> [[77]]
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#> [[78]]
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#> [[79]]
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#> [[80]]
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#> [[81]]
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#> [[91]]
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#> [[92]]
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#> [[97]]
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#> [[98]]
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#> [[99]]
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#> [[100]]
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