62013-03-08 10:17:41localhostconverted to 1.6 markup52012-08-30 08:48:47PeterWatson42012-08-23 16:00:14PeterWatson32012-08-23 15:59:54PeterWatson22012-08-23 15:58:45PeterWatson12007-10-10 14:18:15PeterWatson

In addition to the code below see also the padjust function in R of form for example which adjusts a set of p-values for a variety of methods including Bonferroni, Hochberg and Holm. [ JUST CUT AND PASTE AT THE R PROMPT AFTER ADJUSTING INPUTS AS REQUIRED] Sidak and Holm This is a stepwise approach which produces the two cutoffs using the Sidak and Holm tests respectively. Only p-values equal or below the cutoff value are statistically significant at alpha=alp when adjusted for the number of p-values entered. Input p-values in p and Type I error as alp. Ryan and Einot-Gabriel Input p-values in p, Type I error as alp and the two differenced groups in g1 and g2. The adjusted p-values are outputted using the ryan and einot-gabriel methods respectively. unit[i]) ryan[i] = unit[i] if (eingab[i] > unit[i]) eingab[i] = unit[i] } print(ryan) print(eingab)]]>