R: Paired samples robust t-tests.

yuend {WRS2} | R Documentation

## Paired samples robust t-tests.

### Description

The function `yuend` performs Yuen's test on trimmed means for dependent samples. `Dqcomhd` compares the quantiles of the marginal distributions associated with two dependent groups via hd estimator. Tied values are allowed.

### Usage

    yuend(x, y, tr = 0.2)
    Dqcomhd(x, y, q = c(1:9)/10, nboot = 1000, na.rm = TRUE)

### Arguments

`x` | an numeric vector of data values (e.g. for time 1).
`y` | an numeric vector of data values (e.g. for time 2).
`tr` | trim level for the means.
`q` | quantiles to be compared.
`nboot` | number of bootstrap samples.
`na.rm` | whether missing values should be removed.

### Details

The test statistic is a paired samples generalization of Yuen's independent samples t-test on trimmed means.

### Value

`yuend` returns an object of class `"yuen"` containing:

`test` | value of the test statistic (t-statistic)
`p.value` | p-value
`conf.int` | confidence interval
`df` | degress of freedom
`diff` | trimmed mean difference
`call` | function call

`Dqcomhd` returns an object of class `"robtab"` containing:

`partable` | parameter table

### References

Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.

### See Also

`yuen`, `qcomhd`

### Examples

    ## Cholesterol data from Wilcox (2012, p. 197)
    before <- c(190, 210, 300,240, 280, 170, 280, 250, 240, 220)
    after <- c(210, 210, 340, 190, 260, 180, 200, 220, 230, 200)
    yuend(before, after)

    set.seed(123)
    Dqcomhd(before, after, nboot = 200, q = c(0.25, 0.5, 0.75))

[Package WRS2 version 0.9-2 Index]