spsurvey-internal {spsurvey} | R Documentation |
These functions are internal spsurvey functions.
mdmpts(mdcaty, n.desired) mdmlin(len, mdcaty, n.desired) mdmarea(area, mdcaty, n.desired) cell.wt(cel, xc, yc, dx, dy, pts) selectpts(rdx, xc, yc, dx, dy, pts) selectframe(rord, xc, yc, dx, dy, pts) ftnt.inv.fcn(y, a=1) vecprint(x, n.char=78) shape2spList(shape, shp.type, ID) ranho(adr, size) readDbfFile(fileNamePrefix) readShapeFile(fileNamePrefix) readShapeFilePts(fileNamePrefix) getRecordShapeSizes(fileNamePrefix) writeShapeFilePoint(xVec, yVec, prjFileNameVec, dbfFieldNames, dbfFields, filePrefix) writeShapeFilePolygon(shapeTypeVal, fileLengthVal, contentLenVec, nPartsVec, nPointsVec, partsVec, xVec, yVec, prjFileNameVec, dbfFieldNames, dbfFields, filePrefix) pointInPolygonObj(ptXVec, ptYVec, polyXVec, polyYVec) numLevels(fileNamePrefix, nsmpVec, shiftGridVec, startLevVec, maxLevVec, dsgnmdIDVec, dsgnmdVec) constructAddr(xcVec, ycVec, dxVec, dyVec, nlevVec) pickGridCells(samplesize, idxVec) pointInPolygonFile(fileNamePrefix, xcsVec, ycsVec, dsgnmdIDVec, dsgnmdVec) linSample(fileNamePrefix, xcVec, ycVec, dxVec, dyVec, dsgnmdIDVec, dsgnmdVec) getRecordIDs(areaCumSumVec, sampPosVec, dsgnIDVec) getShapeBox(fileNamePrefix, dsgnIDVec) linSampleIRS(fileNamePrefix, lenCumSumVec, sampPosVec, dsgnIDVec, dsgnLenVec, dsgnMdmVec) dframe.check(sites, design, subpop, data.cat, data.cont, design.names) input.check(nresp, wgt, sigma, var.sigma, xcoord, ycoord, stratum.ind, stratum, stratum.levels, nstrata, cluster.ind, cluster, cluster.levels, ncluster, wgt1, xcoord1, ycoord1, popsize, pcfactor.ind, pcfsize, N.cluster, stage1size, support, swgt.ind, swgt, swgt1, vartype, conf, cdfval=NULL, pctval=NULL, subpop=NULL) vecprint(x, n.char=78) uniqueID(siteID) catvar.prop(z, wgt, x, y, prop, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) catvar.size(z, wgt, x, y, size, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) cdf.nresp(z, val) cdf.prop(z, wgt, val, cluster.ind, cluster, wgt1) cdf.total(z, wgt, val, cluster.ind, cluster, wgt1, popsize) cdf.size.prop(z, wgt, val, cluster.ind, cluster, wgt1, swgt, swgt1) cdf.size.total(z, wgt, val, cluster.ind, cluster, wgt1, popsize, swgt, swgt1) cdfvar.prop(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) cdfvar.total(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, popsize, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) cdfvar.size.prop(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, swgt, swgt1, vartype, warn.ind, warn.df, warn.vec) cdfvar.size.total(z, wgt, x, y, val, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, popsize, pcfactor.ind, pcfsize, N.cluster, stage1size, support, swgt, swgt1, vartype, warn.ind, warn.df, warn.vec) simex(z, val, sigma, var.sigma, cluster.ind, cluster) dcdf.prop(g, wgt, cluster.ind, cluster, wgt1) dcdf.total(g, wgt, cluster.ind, cluster, wgt1, popsize) dcdf.size.prop(g, wgt, cluster.ind, cluster, wgt1, swgt, swgt1) dcdf.size.total(g, wgt, cluster.ind, cluster, wgt1, popsize, swgt, swgt1) dcdfvar.prop(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) dcdfvar.total(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, popsize, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) dcdfvar.size.prop(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, swgt, swgt1, vartype, warn.ind, warn.df, warn.vec) dcdfvar.size.total(g, dg, var.sigma, wgt, x, y, cdfest, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, popsize, pcfactor.ind, pcfsize, N.cluster, stage1size, support, swgt, swgt1, vartype, warn.ind, warn.df, warn.vec) isotonic(y, minval, maxval) sorted(x) cdf.test.prop(z, wgt, bounds, cluster.ind, cluster, wgt1) cdf.test.size.prop(z, wgt, bounds, cluster.ind, cluster, wgt1, swgt, swgt1) cdfvar.test(z, wgt, x, y, bounds, phat, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, popsize, pcfactor.ind, pcfsize, N.cluster, stage1size, support, swgt.ind, swgt, swgt1, vartype, warn.ind, warn.df, warn.vec) total.var (z, wgt, x, y, mean.est, var.est, sd.est, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) relrisk.var(response, stressor, response.levels, stressor.levels, wgt, x, y, stratum.ind, stratum.level, cluster.ind, cluster, wgt1, x1, y1, pcfactor.ind, pcfsize, N.cluster, stage1size, support, vartype, warn.ind, warn.df, warn.vec) localmean.weight(x, y, prb, nbh) localmean.var(z, weight.lst) localmean.cov(zmat, weight.lst) localmean.df(weight.lst) wnas(data) input.format(x, n.digits, miss="NA") warnprnt(warn.df, m=1:nrow(warn.df)) interp.cdf(pctval, cdfest.p, cdf.value) interp.axis(yl.lab, cdfest.l, cdfest.r)
These functions are not to be called by the user.