Class | Analysis and data manipulation command |
Name | trend |
Arguments | <quantitative trait> <marker locus> |
Prints Jonckheere-Terpstra trend test result for the specified marker loci versus the trait. Most suitable for SNP markers, where genotype ordering is clear. Monte-Carlo empiric P-values are produced either via gene-dropping or permutation.
Example:
>> include williamsex.in >> kruskal adjChol ldl ------------------------------------------------ Cross-tabulation of "ldl" ... "adjChol" ------------------------------------------------ adjChol ldl Mean SD Count ---------- --------------------------------------- 1/1 117.7917 48.3469 24 1/2 271.3684 130.6999 19 2/2 206.6667 105.9733 3 Kruskal-Wallis H= 17. df= 2 (P=0.0002) >> set iter 50000 >> trend ace aceins ------------------------------------------------------ Nonparametric association analysis of trait "adjChol" v. "ldl" ------------------------------------------------------ Number of genotypes = 3 Number of unique trait values = 44 Number of observations = 46 Jonckheere-Terpstra Statistic = 469.5 Equalled or exceeded by = 18/50000 simulated values (0.0007) Top simulated S: 474.0 479.0 481.0 482.0 487.0 488.5 490.0 490.5 496.5 497.5 503.5 Simulated mean (variance) = 268.4 ( 5393.3) Asymptotic (Wald) P value = 0.0062
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