psurvey.analysis-internal(psurvey.analysis) | S-PLUS Documentation |
dframe.check.fcn(nresp, siteID, sites, subpop, data.cat, type.cat, data.cont, design.names) input.check.fcn(nresp, wgt, sigma, var.sigma, xcoord, ycoord, stratum.ind, stratum, stratum.levels, nstrata, cluster.ind, cluster, cluster.levels, ncluster, N.cluster, wgt1, xcoord1, ycoord1, popsize, stage1size, pcfactor.ind, support, swgt.ind, swgt, swgt1, unitsize, vartype, conf, cdfval=NULL, pctval=NULL) vecprint.fcn(x, n.char=78) uniqueID.fcn(x) catvar.prop.fcn(z, wgt, x, y, prop, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) catvar.size.fcn(z, wgt, x, y, size, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) cdf.nresp.fcn(z, val) cdf.prop.fcn(z, wgt, val, cluster.ind, cluster, wgt1) cdf.total.fcn(z, wgt, val, cluster.ind, cluster, wgt1, popsize) cdf.size.prop.fcn(z, wgt, swgt, val, cluster.ind, cluster, wgt1, swgt1) cdf.size.total.fcn(z, wgt, swgt, val, cluster.ind, cluster, wgt1, swgt1, unitsize) cdfvar.prop.fcn(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) cdfvar.total.fcn(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) cdfvar.size.prop.fcn(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, swgt, swgt1, vartype) cdfvar.size.total.fcn(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, swgt, swgt1, unitsize, vartype) cdfvar.test.fcn (sampl, bounds, vartype) simex.fcn(z, val, sigma, var.sigma, cluster.ind, cluster) dcdf.prop.fcn(g, wgt, cluster.ind, cluster, wgt1) dcdf.total.fcn(g, wgt, cluster.ind, cluster, wgt1, popsize) dcdf.size.prop.fcn(g, wgt, swgt, cluster.ind, cluster, wgt1, swgt1) dcdf.size.total.fcn(g, wgt, swgt, cluster.ind, cluster, wgt1, swgt1, unitsize) dcdfvar.prop.fcn(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) dcdfvar.total.fcn(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) dcdfvar.size.prop.fcn(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, swgt, swgt1, vartype) dcdfvar.size.total.fcn(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, swgt, swgt1, unitsize, vartype) isotonic.fcn(y, minval, maxval) sorted.fcn(x) total.var.fcn (z, wgt, x, y, mean.est, var.est, sd.est, stratum.ind, stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize, pcfactor.ind, stage1size, support, vartype) localmean.weight.fcn(x, y, prb, nbh) localmean.var.fcn(z, weight.lst) localmean.cov.fcn(zmat, weight.lst) localmean.df.fcn(weight.lst) dist2full.fcn(dis) wnas.fcn(data) format.fcn(x, n.digits, miss)
Tom Kincaid Kincaid.Tom@epa.gov