rpaired.gld: Simulate paired samples

In PairedData: Paired Data Analysis

Description

Simulate paired data with a given correlation (Kendall's tau=(2/pi)arcsine(r)) and marginals being Generalized Tukey-Lambda (G-TL) distributions.

Usage

rpaired.gld(n, d1=c(0.000,0.1974,0.1349,0.1349), d2=c(0.000,0.1974,0.1349,0.1349), r)

Arguments

n	sample size.
d1	vector of four parameters for the first G-TL distribution.
d2	vector of four parameters for the second G-TL distribution.
r	correlation.

Value

An object of class paired.

Author(s)

Stephane CHAMPELY

References

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

See Also

rpaired.contaminated

Examples

rpaired.gld(n=30,r=0.5)

data(lambda.table)
p<-rpaired.gld(n=30,d1=lambda.table[7,],d2=lambda.table[7,],r=0.5)
plot(p)

Example output

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  -1.383481436 -0.1557095
2   0.961503046  1.3234708
3   0.645679141  0.9835916
4  -1.392088030 -1.2246516
5   0.853788896  0.5242832
6   0.043282994  0.5809305
7  -0.655767320 -0.9502411
8   0.008648537 -0.4313252
9  -1.121015073 -0.9851551
10 -1.176286759 -0.7603403
11  0.066253688  1.3354127
12  0.331106370 -0.8409748
13 -0.027127438 -1.4180975
14  0.711802624  0.2337487
15  1.130193225  2.1317876
16 -0.721077009  0.3716325
17 -0.445410025 -1.9716010
18  1.077732200 -0.7850311
19 -0.819118063 -0.3779949
20 -0.931865048 -0.7162324
21  2.087584975  2.1442466
22  1.036851047 -0.4705396
23 -1.125973616 -0.0216362
24  1.242798712  0.9625783
25  0.856675389 -0.1080652
26 -1.142084739 -1.9475785
27  0.377994672 -0.4077400
28  1.015759176  0.2978535
29 -0.332885966 -0.4359369
30  0.711631521 -1.9208014

PairedData documentation built on May 1, 2019, 6:49 p.m.