Lines Matching refs:pstat

228 import pstat  # required 3rd party module
365   scores = pstat.unique(inlist)
465   scores = pstat.unique(inlist)
470   return pstat.abut(scores, freq)
798     f, p = F_oneway(pstat.colex(r, 0), pstat.colex(r, 1))
836       pstat.printcc(lol)
926   data = pstat.abut(x, y)
927   categories = pstat.unique(x)
931     codemap = pstat.abut(categories, range(2))
932     recoded = pstat.recode(data, codemap, 0)
933     x = pstat.linexand(data, 0, categories[0])
934     y = pstat.linexand(data, 0, categories[1])
935     xmean = mean(pstat.colex(x, 1))
936     ymean = mean(pstat.colex(y, 1))
939     rpb = (ymean - xmean) / samplestdev(pstat.colex(data, 1)) * adjust
1327   data = apply(pstat.abut, tuple(args))
1655     items = pstat.colex(list2print, col)
1656     items = map(pstat.makestr, items)
1665       outfile.write(pstat.lineincustcols(dashes, maxsize))
1667       outfile.write(pstat.lineincustcols(row, maxsize))
1740   for item1, item2 in pstat.abut(list1, list2):
1855     pstat.printcc(lofl)
1879     file.write(pstat.list2string(['\nTest statistic = ', round(stat, 4),
1901     examplelevel = pstat.unique(pstat.colex(data, col))[0]
1902     rows = pstat.linexand(data, col, examplelevel)  # get 1 level of this factor
1903     factsubjs = pstat.unique(pstat.colex(rows, 0))
1904     allsubjs = pstat.unique(pstat.colex(data, 0))
2228     scores = pstat.aunique(N.ravel(a))  # get ALL unique values
2594     scores = pstat.aunique(a)
2599     return N.array(pstat.aabut(scores, freq))
3027       f, p = F_oneway(pstat.colex(r, 0), pstat.colex(r, 1))
3066         pstat.printcc(lol)
3188     categories = pstat.aunique(x)
3189     data = pstat.aabut(x, y)
3194       codemap = pstat.aabut(categories, N.arange(2))
3195       recoded = pstat.arecode(data, codemap, 0)
3196       x = pstat.alinexand(data, 0, categories[0])
3197       y = pstat.alinexand(data, 0, categories[1])
3198       xmean = amean(pstat.acolex(x, 1))
3199       ymean = amean(pstat.acolex(y, 1))
3202       rpb = (ymean - xmean) / asamplestdev(pstat.acolex(data, 1)) * adjust
3712     data = apply(pstat.aabut, args)
4050     p = pstat.aunique(para)
4132     pstat.printcc(lofl)
4355       rows = pstat.linexand(data, col, pstat.unique(pstat.colex(data, 1))[0]
4357       if len(pstat.unique(pstat.colex(rows, 0))) < len(