rpaired.contaminated: Simulate paired samples
In PairedData: Paired Data Analysis

Description Usage Arguments Value Author(s) References See Also Examples

Simulate paired data with a given correlation (Kendall's tau=(2/pi)arcsine(r)) and marginals being contaminated normal distributions: (1-eps)*F(x)+eps*F(x/K) where F is the cumulative standard normal distribution, eps the percentage of contamination and K a scale parameter. Moreover, this marginal can be multiplied by another scale parameter sigma but usually sigma=1.

1	rpaired.contaminated(n, d1 = c(0.1, 10, 1), d2 = c(0.1, 10, 1), r = 0.5)

`n`	sample size.
`d1`	vector of 3 parameters for the first contaminated normal distribution (eps,K,sigma).
`d2`	vector of 3 parameters for the second contaminated normal distribution.
`r`	correlation.

An object of class paired.

Stephane CHAMPELY

Grambsch, P.M. (1994) Simple robust tests for scale differences in paired data. Biometrika, 81, 359-372.

rpaired.gld

1	rpaired.contaminated(n=30,r=0.25)

Loading required package: MASS
Loading required package: gld
Loading required package: mvtnorm
Loading required package: lattice
Loading required package: ggplot2

Attaching package: 'PairedData'

The following object is masked from 'package:base':

    summary

Object of class "paired"
              x           y
1   -1.25425568 -0.24011417
2    0.72832734 -1.22195587
3    0.49525938  0.40228973
4    1.10043402  0.25075798
5  -12.85167637 -0.91213567
6    0.16674703 -0.55698772
7   -0.08107328 -1.70426691
8    0.35100685 -0.23405973
9   -0.90996292  0.23556310
10  -0.80124291  0.31983489
11   0.89799602  0.11812255
12   0.68885412  1.25048906
13  -0.26101314 -2.12100710
14   0.08616934  0.01434244
15   8.46116263 -0.07647823
16  -0.17341171 -0.09174746
17  -0.16953829 -0.39988502
18   5.10265697 -0.09629965
19   0.34495777  1.48597645
20   0.99606301 14.99169443
21  -0.37251298 -0.02883713
22   1.52279927  0.17420437
23   0.78456967  0.23346818
24 -12.42257824  0.21585978
25   1.04183825 -0.34070250
26   1.87415023  0.71451733
27   0.30269294 -0.37297347
28   0.88441167  6.67061254
29  -8.66472030  0.53616022
30   0.35743697  1.33823297