Description Details Author(s) References Examples
Exact calculation of fuzzy decision rules for multiple testing. Choose to control FDR (false discovery rate) using the Benjamini and Hochberg method, or FWER (family wise error rate) using the Bonferroni method. Kulinsakaya and Lewin (2007).
Package: | fuzzyFDR |
Type: | Package |
Version: | 1.0 |
Date: | 2007-10-16 |
License: | GPL |
~~ An overview of how to use the package, including the most important functions ~~
Alex Lewin Maintainer: Alex Lewin <a.m.lewin@imperial.ac.uk>
Kulinsakaya and Lewin (2007).
1 2 3 4 5 6 |
[1] "pvals" "pprev"
[1] "total no. intervals = 8"
[1] "total no. possible alloc. = 1296"
[1] "global sf = 6"
[1] "global sc = 4"
p.minus p.plus r.minus r.plus leng a.minus a.plus
1 0.0000 0.0010 1 2 2 0.0071 0.0143
2 0.0010 0.0039 1 3 3 0.0071 0.0214
3 0.0039 0.0107 2 4 3 0.0143 0.0286
4 0.0107 0.0156 3 5 3 0.0214 0.0357
5 0.0156 0.0352 4 6 3 0.0286 0.0429
6 0.0352 0.0547 5 7 3 0.0357 0.0500
7 0.0547 0.1094 6 7 2 0.0429 0.0500
8 0.1094 0.1445 7 7 1 0.0500 0.0500
[1] "reduced no. intervals = 4"
[1] "reduced no. alloc. = 36"
new.p.minus new.p.plus new.r.minus new.r.plus
1 0.0000 0.0156 1 5
2 0.0156 0.0352 4 6
3 0.0352 0.0547 5 7
4 0.0547 0.1445 6 7
[1] "starting loop over allocations"
[1] ""
[1] "Exact Method"
[1] "alpha = 0.05"
pvals pprev z.min z.max new.z.min new.z.max tau
1 0.0039 0.0000 1 2 1 1 1.0000
2 0.0107 0.0010 2 3 1 1 1.0000
3 0.0156 0.0000 1 4 1 1 1.0000
4 0.0352 0.0039 3 5 1 2 0.9340
5 0.0547 0.0107 4 6 1 3 0.6325
6 0.1094 0.0156 5 7 2 4 0.2815
7 0.1445 0.0352 6 8 3 4 0.0801
pvals pprev z.min z.max new.z.min new.z.max tau
1 0.0039 0.0000 1 2 1 1 1.0000
2 0.0107 0.0010 2 3 1 1 1.0000
3 0.0156 0.0000 1 4 1 1 1.0000
4 0.0352 0.0039 3 5 1 2 0.9340
5 0.0547 0.0107 4 6 1 3 0.6325
6 0.1094 0.0156 5 7 2 4 0.2815
7 0.1445 0.0352 6 8 3 4 0.0801
[1] "pvals" "pprev"
[1] "total no. intervals = 4"
[1] "total no. possible alloc. = 1"
[1] "global sf = 2"
[1] "global sc = 1"
p.minus p.plus r.minus r.plus leng a.minus a.plus
1 0.000 0.004 1 1 1 0.005 0.005
2 0.004 0.035 2 4 3 0.010 0.020
3 0.035 0.145 5 6 2 0.025 0.030
4 0.145 0.363 7 10 4 0.035 0.050
[1] "reduced no. intervals = 3"
[1] "reduced no. alloc. = 1"
new.p.minus new.p.plus new.r.minus new.r.plus
1 0.000 0.004 1 1
2 0.004 0.035 2 4
3 0.035 0.363 5 10
[1] "starting loop over allocations"
[1] ""
[1] "Exact Method"
[1] "alpha = 0.05"
pvals pprev z.min z.max new.z.min new.z.max tau
1 0.004 0.000 1 1 1 1 1.0000
2 0.035 0.004 2 2 2 2 0.3349
3 0.035 0.004 2 2 2 2 0.3349
4 0.035 0.004 2 2 2 2 0.3349
5 0.145 0.035 3 3 3 3 0.0000
6 0.145 0.035 3 3 3 3 0.0000
7 0.363 0.145 4 4 3 3 0.0000
8 0.363 0.145 4 4 3 3 0.0000
9 0.363 0.145 4 4 3 3 0.0000
10 0.363 0.145 4 4 3 3 0.0000
pvals pprev z.min z.max new.z.min new.z.max tau
1 0.004 0.000 1 1 1 1 1.0000
2 0.035 0.004 2 2 2 2 0.3349
3 0.035 0.004 2 2 2 2 0.3349
4 0.035 0.004 2 2 2 2 0.3349
5 0.145 0.035 3 3 3 3 0.0000
6 0.145 0.035 3 3 3 3 0.0000
7 0.363 0.145 4 4 3 3 0.0000
8 0.363 0.145 4 4 3 3 0.0000
9 0.363 0.145 4 4 3 3 0.0000
10 0.363 0.145 4 4 3 3 0.0000
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