spatstat.explore-internal {spatstat.explore}R Documentation

Internal spatstat.explore functions

Description

Internal spatstat.explore functions.

Usage


## S3 method for class 'localpcfmatrix'
x[i, ...]
## S3 method for class 'rat'
x[...]
adjust.ratfv(f, columns, numfactor, denfactor)
ang2rad(ang, unit, start, clockwise)
## S3 method for class 'bw.optim'
as.data.frame(x, ...)
## S3 method for class 'fv'
as.data.frame(x, ...)
as.roc.data.frame(x, method, covtype, CI, leftoneout)
assemble.plot.objects(xlim, ylim, ..., lines, polygon)
aucData(covariate, nullmodel, ...,
        high, interpolate, jitter, subset,
        covariateAtPoints, discrimAtPoints)
## S3 method for class 'spatialCDFframe'
auc(X, ..., high)
bandwidth.is.infinite(sigma)
BartCalc(fY, fK)
bermantestCalc(fram, which, alternative, ...)
bermantestEngine(model, covariate, which, alternative, ...,
                 modelname, covname, dataname)
bind.ratfv(x, numerator, denominator, labl, desc, preferred,
           ratio, quotient)
bw.optim(cv, h, iopt, ..., cvname, hname, criterion,
         optimum, warnextreme, hargnames, yexp, unitname,
         template, exponent, hword)
calc.DR(COV, z, Dim)
calc.NNIR(COV, z, pos, Dim)
calc.SAVE(COV, z, Dim)
calc.SIR(COV, z)
calc.TSE(COV, z, pos, Dim1, Dim2)
censtimeCDFest(o, cc, d, breaks, ...,
     KM, RS, HAN, RAW, han.denom, tt, pmax, fname, fexpr)
check.testfun(f, f1, X)
circticks(R, at, unit, start, clockwise, labels)
clarkevansCalc(X, correction, clipregion, working)
## S3 method for class 'rat'
compatible(A, B, ...)
conform.ratfv(x)
CressieReadStatistic(OBS,EXP,lambda,normalise,named)
CressieReadSymbol(lambda)
CressieReadName(lambda)
cutoff2Dkernel(kernel, sigma, varcov, ..., scalekernel, cutoff, fatal)
CVforPCF(BW, stuff)
DeltaMethodVarOfRatio(num, den, varnum, varden, covnumden, positive)
Deviation(x, ref, leaveout, n, xi)
densitycrossEngine(Xdata, Xquery, sigma, ...,
                    kernel, scalekernel,
                    weights, edge, varcov,
                    diggle, sorted, cutoff,
                    se, kerpow)
densitypointsEngine(x, sigma, ...,
                    kernel, scalekernel, kerpow,
                    weights, edge, varcov,
                    leaveoneout, diggle, sorted, spill, cutoff,
                    debug)
digestCovariates(..., W)
digital.volume(range, nval, vside)
## S3 method for class 'fasp'
dim(x)
## S3 method for class 'fasp'
dimnames(x)
## S3 replacement method for class 'fasp'
dimnames(x) <- value
distributecbind(x)
ensure.listarg(x, n, singletypes, xtitle, things)
envelopeEngine(X, fun, simul,
           nsim, nrank, ..., funargs, funYargs,
           verbose, clipdata, 
           transform, global, ginterval, use.theory,
           alternative, scale, clamp,
           savefuns, savepatterns, saveresultof,
           weights,
           nsim2, VARIANCE, nSD,
           Yname,
           maxnerr, rejectNA, silent, maxerr.action,
           internal, cl,
           envir.user, expected.arg, do.pwrong,
           foreignclass, collectrubbish)
envelopeProgressData(X, fun, ..., exponent,
                     alternative, leaveout, scale, clamp,
                     normalize, deflate, rmin, 
                     save.envelope, savefuns, savepatterns)
envelopeTest(X, ..., exponent, alternative,
            rinterval, leaveout, scale, clamp, tie.rule,
            interpolate, save.interpolant,
            save.envelope, savefuns, savepatterns,
            Xname, badXfatal, verbose)
## S3 method for class 'hasenvelope'
envelope(Y, ..., Yname)
## S3 method for class 'matrix'
envelope(Y, ..., argvals, rvals,
  observed, theory, funX, nsim, nsim2, jsim, jsim.mean,
  type, alternative, scale, clamp, csr, use.theory, nrank, ginterval, nSD,
  savefuns, check, Yname, argname, arg.desc,
  fname.orig, transform,
  do.pwrong, weights, precomputed, gaveup)
evaluateCovariate(covariate, locations, ...)
evaluateCovariateAtPixels(covariate, locations, ...,
                          types, eps, dimyx, rule.eps)
evaluateCovariateAtPoints(covariate, locations, ..., allow.column)
evaluate2Dkernel(kernel, x, y, sigma, varcov, ..., scalekernel)
ExpSmoothLog(X, ..., at, weights, se)
exactppm(X, baseline, ..., subset, eps, dimyx, rule.eps)
extractAtomicQtests(x)
fasp(fns, which, formulae, dataname, title, rowNames, colNames, checkfv)
f3engine(x, y, z, box, vside, range, nval, correction)
f3Cengine(x, y, z, box, vside, rmax, nrval)
findbestlegendpos(...)
findcbind(root, depth, maxdepth)
flatfname(x)
FormatFaspFormulae(f, argname)
fvexprmap(x)
fvlabels(x, expand=FALSE)
fvlabels(x) <- value
fvlabelmap(x, dot=TRUE)
fvlegend(object, elang)
g3engine(x, y, z, box, rmax, nrval, correction)
g3Cengine(x, y, z, box, rmax, nrval)
getSumFun(abbreviation, classname, ismarked, fatal)
good.correction.K(X)
hasenvelope(X, E)
implemented.for.K(correction, windowtype, explicit)
is.atomicQtest(x)
## S3 method for class 'exactppm'
is.poisson(x)
is.scov(x)
## S3 method for class 'exactppm'
is.stationary(x)
k3engine(x, y, z, box, rmax, nrval, correction)
Kborder.engine(X, rmax, nr, correction, weights, ratio)
Knone.engine(X, rmax, nr, weights, ratio)
Krect.engine(X, rmax, nr, correction, weights,
             ratio, fname, use.integers)
Kount(dIJ, bI, b, breaks)
Kwtsum(dIJ, bI, wIJ, b, w, breaks, fatal)
localKengine(X, ..., wantL, lambda, rmax, correction, verbose, rvalue)
localKmultiEngine(X, from, to,
           lambdaFrom, lambdaTo, ..., rmax, wantL,
           correction, verbose, rvalue, sigma, varcov,
           lambdaX, update, leaveoneout,
           Iexplain, Jexplain, Ikey, Jkey)
localpcfengine(X, ..., delta, rmax, nr, stoyan, lambda, rvalue)
localpcfmatrix(X, i, ..., lambda, delta, rmax, nr, stoyan)
lookup2DkernelInfo(kernel)
makefvlabel(op, accent, fname, sub, argname, pre, post)
makeRocDesc(desc, leftoneout)
makeRocFlabel(sub, leftoneout, super, f, argu)
makeRocTag(sub, leftoneout)
maskLaslett(X, ..., eps, dimyx, xy, rule.eps, oldX, verbose, plotit)
match2DkernelName(kernel)
mctestSigtraceEngine(R, devdata, devsim, ...,
     interpolate, confint, alpha, exponent, unitname)
meanlistfv(z, ...)
monotonicRhoFun(X, Z, increasing, ..., weights, subset, baseline)
monotonicRhoFunCalc(x, z, massx, weightz, increasing)
## S3 replacement method for class 'fv'
names(x) <- value
needROC(...)
nncleanEngine(kthNND, k, d, ..., tol, maxit,
              plothist, lineargs, verbose, Xname)
## S3 method for class 'listof'
pairs(..., plot=TRUE)
## S3 method for class 'solist'
pairs(..., plot=TRUE)
pcf3engine(x, y, z, box, rmax, nrval, correction, delta)
pcfmulti.inhom(X, I, J, lambdaI, lambdaJ, ...,
               lambdaX, r, breaks, kernel,
               bw, adjust.bw, stoyan, correction,
               sigma, adjust.sigma, varcov, update, leaveoneout, 
               Iname, Jname)
## S3 method for class 'bw.frac'
plot(x, ...)
## S3 method for class 'bw.optim'
plot(x, ..., showopt, optargs)
## S3 method for class 'localpcfmatrix'
plot(x, ...)
## S3 method for class 'plotpairsim'
plot(x, ...)
## S3 method for class 'roc'
plot(x, fmla, ..., main, threshold)
## S3 method for class 'spatialcdf'
plot(x, ..., xlab, ylab, do.points)
polyLaslett(X, ..., oldX, verbose, plotit)
posify(x, eps)
## S3 method for class 'exactppm'
predict(object, locations, ..., eps, dimyx, rule.eps)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
prettyweird(x, p, pieces, neach)
## S3 method for class 'bw.frac'
print(x, ...)
## S3 method for class 'bw.optim'
print(x, ...)
## S3 method for class 'densityfun'
print(x, ...)
## S3 method for class 'envelope'
print(x, ...)
## S3 method for class 'exactppm'
print(x, ...)
## S3 method for class 'fasp'
print(x, ...)
## S3 method for class 'fv'
print(x, ..., tight)
## S3 method for class 'fvfun'
print(x, ...)
## S3 method for class 'hasenvelope'
print(x, ...)
## S3 method for class 'laslett'
print(x, ...)
## S3 method for class 'localpcfmatrix'
print(x, ...)
## S3 method for class 'plotpairsim'
print(x, ...)
## S3 method for class 'quadrattest'
print(x, ...)
## S3 method for class 'rat'
print(x, ...)
## S3 method for class 'Smoothfun'
print(x, ...)
## S3 method for class 'summary.bw.optim'
print(x, ..., digits)
## S3 method for class 'summary.ssf'
print(x, ...)
quadrat.testEngine(X, nx, ny, alternative, method, conditional, CR, 
     ..., nsim, Xcount, xbreaks, ybreaks, tess, fit, df.est, Xname, fitname)
ratfv(df, numer, denom, ..., ratio)
rebadge.as.crossfun(x, main, sub, i, j)
rebadge.as.dotfun(x, main, sub, i)
rebadge.fv(x, new.ylab, new.fname, tags, new.desc, new.labl, new.yexp,
           new.dotnames, new.preferred, new.formula, new.tags)
rebadgeLabels(x, new.fname)
reconcile.fv(...)
RelevantDeviation(x, alternative, clamp, scaling)
rename.fv(x, fname, ylab, yexp)
resolve.2D.kernel(...,
            sigma, varcov, x, mindist, adjust, bwfun, allow.zero)
resolve.foxall.window(X, Y, W, warn.trim)
resolve.lambda(X, lambda, ...)
## S3 method for class 'ppp'
resolve.lambda(X, lambda, ...,
               sigma, varcov, leaveoneout, update, check)
resolve.lambdacross(X, I, J, lambdaI, lambdaJ, ...)
## S3 method for class 'ppp'
resolve.lambdacross(X, I, J, lambdaI, lambdaJ, ...,
         lambdaX, sigma, varcov, leaveoneout, update, lambdaIJ,
         Iexplain, Jexplain)
resolve.reciplambda(X, lambda, reciplambda, ...)
## S3 method for class 'ppp'
resolve.reciplambda(X, lambda, reciplambda, ...,
                    sigma, varcov, leaveoneout, update, check)
resolveEinfo(x, what, fallback, warn, atomic)
resolveNullModel(baseline, X, observations, ...)
rhohatEngine(model, covariate, reference, volume, ...,
               subset, weights, method, horvitz, smoother,
               resolution, spatCovarArgs,
               n, bw, adjust, from, to, 
               bwref, covname, covunits, confidence,
               breaks,
               modelcall, callstring)
rhohatCalc(ZX, Zvalues, lambda, denom, ...,
           weights, lambdaX,
           method, horvitz, smoother, do.CI, 
           n, bw, adjust, from, to, 
           bwref, covname, confidence, breaks, positiveCI, markovCI,
           covunits, modelcall, callstring, savestuff)
rmax.Rigid(X, g)
rmax.rule(fun, W, lambda)
## S3 method for class 'function'
roc(X, covariate, ..., high, tp, method, nsteps)
## S3 method for class 'spatialCDFframe'
roc(X, ..., high, plength)
rocData(covariate, nullmodel, ..., high, p)
rocModel(lambda, nullmodel, ..., high, p, lambdatype)
rocDummy(X, U, covariate, ...,
         high, method, subset, weights, weightsU,
         p, plength, bw, adjust, CI, alpha, degfreefun)
rocEngine(discrim, nullmodel, ...,
          covtype, fittedmodel,
          method, high, weights, discrimAtPoints,
          p, plength, interpolate, jitter, subset,
          bw, adjust, CI, alpha, degfreefun, leftoneout)
rocIm(X, covariate, ..., high, p, plength)
rocSmoothCalc(ZX, ZU,..., weightsX, weightsU,
              high, kernel, bw, adjust, alpha, nGrid, p, plength,
              doCI, degfreeU)
roseContinuous(ang, rad, unit, ...,
               start, clockwise, main, labels, at, do.plot)
scanmeasure(X, ...)
## S3 method for class 'ppp'
scanmeasure(X, r, ..., method) 
## S3 method for class 'im'
scanmeasure(X, r, ...)
scanPoisLRTS(nZ, nG, muZ, muG, alternative)
scanBinomLRTS(nZ, nG, muZ, muG, alternative)
second.moment.calc(x, sigma, edge, what, ...,
                   varcov, expand, obswin, npts, debug)
second.moment.engine(x, sigma, edge, what, ...,
      kernel, scalekernel, kerpow,
      obswin, varcov, npts, debug, fastgauss)
sewpcf(d, w, denargs, lambda2area, divisor,
       zerocor, fast, convert, adaptive, tau, gref, Transform)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
## S3 method for class 'quadrattest'
shift(X, ...)
simulrecipe(type, expr, envir, csr, pois, constraints)
## S3 method for class 'fv'
StieltjesCalc(M, f, ...)
## S3 method for class 'solist'
Smooth(X, ...)
smoothcrossEngine(Xdata, Xquery, values, sigma, ...,
                    weights, varcov,
                    kernel, scalekernel, sorted, cutoff)
smoothpointsEngine(x, values, sigma, ...,
                   kernel, scalekernel,
                   weights, varcov, leaveoneout, sorted, cutoff, debug,
                   shrinknumer, shrinkdenom)
spatialCDFframe(model, covariate, ..., jitter, covariateAtPoints,
                make.quantile.function)
spatialCDFtest(model, covariate, test, ...,
         dimyx, eps, rule.eps, interpolate, jitter,
         nsim, verbose, modelname, covname, dataname)
spatialCDFtestCalc(fra, test, ..., details)
spatialCovariateEvidence(model, covariate, ...)
## S3 method for class 'exactppm'
spatialCovariateEvidence(model, covariate, ..., lambdatype,
          dimyx, eps, rule.eps, interpolate, jitter, jitterfactor,
          modelname, covname, dataname, subset, clip.predict, raster.action) 
## S3 method for class 'ppp'
spatialCovariateEvidence(model, covariate, ..., lambdatype,
          dimyx, eps, rule.eps, interpolate, jitter, jitterfactor,
          modelname, covname, dataname, subset, clip.predict, raster.action)
sphere.volume(range, nval = 10)
## S3 method for class 'bw.optim'
summary(object, ...)
## S3 method for class 'envelope'
summary(object,...)
tweak.fv.entry(x, current.tag, new.labl, new.desc, new.tag)
tweak.ratfv.entry(x, ...)
twostage.test(X, ..., exponent, nsim, nsimsub,
              alternative, reuse, leaveout, interpolate,
              savefuns, savepatterns, verbose, badXfatal, testblurb)
twostage.envelope(X, ..., nsim, nsimsub, nrank,
                  alternative, reuse, leaveout, interpolate,
                  savefuns, savepatterns, verbose, badXfatal, testlabel)
updateData(model, X, ...)
## Default S3 method:
updateData(model, X, ..., warn)
validate2Dkernel(kernel, fatal)
validate.angles(angles, unit, guess)
validate.weights(x, recip, how, allowzero, allowinf)
vanilla.fv(x)
VarOfWtdMean(marx, weights)
weightedclosepairs(X, r, correction, what)
X2testEngine(OBS, EXP, ..., method, CR, df, nsim,
     conditional, alternative, testname, dataname)




Details

These internal spatstat.explore functions should not be called directly by the user. Their names and capabilities may change without warning from one version of spatstat.explore to the next.

Value

The return values of these functions are not documented, and may change without warning.


[Package spatstat.explore version 3.5-2 Index]