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, N.cluster, wgt1, xcoord1,
ycoord1, popsize, stage1size, pcfactor.ind, support,
swgt.ind, swgt, swgt1, unitsize, 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, N.cluster, wgt1, x1, y1, popsize,
pcfactor.ind, stage1size, support, vartype, warn.ind,
warn.df, warn.vec)
catvar.size(z, wgt, x, y, size, stratum.ind, stratum.level,
cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize,
pcfactor.ind, 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, swgt, val, cluster.ind, cluster,
wgt1, swgt1)
cdf.size.total(z, wgt, swgt, val, cluster.ind, cluster,
wgt1, swgt1, unitsize)
cdfvar.prop(z, wgt, x, y, val, cdfest, stratum.ind,
stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1,
y1, popsize, pcfactor.ind, stage1size, support, vartype,
warn.ind, warn.df, warn.vec)
cdfvar.total(z, wgt, x, y, val, cdfest, stratum.ind,
stratum.level, cluster.ind, cluster, N.cluster, wgt1, x1,
y1, popsize, pcfactor.ind, 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, N.cluster, wgt1, x1,
y1, popsize, pcfactor.ind, 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, N.cluster, wgt1, x1,
y1, popsize, pcfactor.ind, stage1size, support, swgt, swgt1,
unitsize, vartype, warn.ind, warn.df, warn.vec)
cdfvar.test (sampl, bounds, vartype)
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, swgt, cluster.ind, cluster, wgt1,
swgt1)
dcdf.size.total(g, wgt, swgt, cluster.ind, cluster, wgt1,
swgt1, unitsize)
dcdfvar.prop(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, warn.ind, warn.df, warn.vec)
dcdfvar.total(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, warn.ind, warn.df, warn.vec)
dcdfvar.size.prop(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, warn.ind, warn.df, warn.vec)
dcdfvar.size.total(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, warn.ind, warn.df,
warn.vec)
isotonic(y, minval, maxval)
sorted(x)
total.var (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, warn.ind, warn.df, warn.vec)
relrisk.var(response, stressor, response.levels,
stressor.levels, wgt, x, y, stratum.ind, stratum.level,
cluster.ind, cluster, N.cluster, wgt1, x1, y1, popsize,
pcfactor.ind, 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))