Internal spatstat.explore functions.
# S3 method for localpcfmatrix
[(x, i, ...)
# S3 method for rat
[(x, ...)
adjust.ratfv(f, columns, numfactor, denfactor)
ang2rad(ang, unit, start, clockwise)
# S3 method for bw.optim
as.data.frame(x, ...)
# S3 method for fv
as.data.frame(x, ...)
assemble.plot.objects(xlim, ylim, ..., lines, polygon)
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)
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 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)
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 fasp
dim(x)
# S3 method for fasp
dimnames(x)
# S3 method for fasp
dimnames(x) <- value
distributecbind(x)
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 hasenvelope
envelope(Y, ..., Yname)
# S3 method for 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,
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 exactppm
is.poisson(x)
is.scov(x)
# S3 method for 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)
km.rs.opt(o, cc, d, breaks, KM, RS)
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)
maskLaslett(X, ..., eps, dimyx, xy, rule.eps, oldX, verbose, plotit)
match.kernel(kernel)
match2DkernelName(kernel)
mctestSigtraceEngine(R, devdata, devsim, ...,
interpolate, confint, alpha, exponent, unitname)
meanlistfv(z, ...)
# S3 method for fv
names(x) <- value
nncleanEngine(kthNND, k, d, ..., tol, maxit,
plothist, lineargs, verbose, Xname)
# S3 method for listof
pairs(..., plot=TRUE)
# S3 method for 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 bw.frac
plot(x, ...)
# S3 method for bw.optim
plot(x, ..., showopt, optargs)
# S3 method for localpcfmatrix
plot(x, ...)
# S3 method for plotpairsim
plot(x, ...)
# S3 method for spatialcdf
plot(x, ..., xlab, ylab, do.points)
polyLaslett(X, ..., oldX, verbose, plotit)
# S3 method for exactppm
predict(object, locations, ..., eps, dimyx, rule.eps)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
# S3 method for bw.frac
print(x, ...)
# S3 method for bw.optim
print(x, ...)
# S3 method for densityfun
print(x, ...)
# S3 method for envelope
print(x, ...)
# S3 method for exactppm
print(x, ...)
# S3 method for fasp
print(x, ...)
# S3 method for fv
print(x, ..., tight)
# S3 method for fvfun
print(x, ...)
# S3 method for hasenvelope
print(x, ...)
# S3 method for laslett
print(x, ...)
# S3 method for localpcfmatrix
print(x, ...)
# S3 method for plotpairsim
print(x, ...)
# S3 method for quadrattest
print(x, ...)
# S3 method for rat
print(x, ...)
# S3 method for Smoothfun
print(x, ...)
# S3 method for summary.bw.optim
print(x, ..., digits)
# S3 method for 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 ppp
resolve.lambda(X, lambda, ...,
sigma, varcov, leaveoneout, update, check)
resolve.lambdacross(X, I, J, lambdaI, lambdaJ, ...)
# S3 method for ppp
resolve.lambdacross(X, I, J, lambdaI, lambdaJ, ...,
lambdaX, sigma, varcov, leaveoneout, update, lambdaIJ,
Iexplain, Jexplain)
resolve.reciplambda(X, lambda, reciplambda, ...)
# S3 method for ppp
resolve.reciplambda(X, lambda, reciplambda, ...,
sigma, varcov, leaveoneout, update, check)
resolveEinfo(x, what, fallback, warn, atomic)
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)
rocData(covariate, nullmodel, ..., high, p)
rocModel(lambda, nullmodel, ..., high, p)
roseContinuous(ang, rad, unit, ...,
start, clockwise, main, labels, at, do.plot)
scanmeasure(X, ...)
# S3 method for ppp
scanmeasure(X, r, ..., method)
# S3 method for 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)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
# S3 method for quadrattest
shift(X, ...)
simulrecipe(type, expr, envir, csr, pois, constraints)
# S3 method for 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)
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 exactppm
spatialCovariateEvidence(model, covariate, ..., lambdatype,
dimyx, eps, rule.eps, interpolate, jitter, jitterfactor,
modelname, covname, dataname, subset, clip.predict)
# S3 method for ppp
spatialCovariateEvidence(model, covariate, ..., lambdatype,
dimyx, eps, rule.eps, interpolate, jitter, jitterfactor,
modelname, covname, dataname, subset, clip.predict)
sphere.volume(range, nval = 10)
# S3 method for bw.optim
summary(object, ...)
# S3 method for 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, ...)
# S3 method for default
updateData(model, X, ..., warn)
validate2Dkernel(kernel, fatal)
validate.angles(angles, unit, guess)
validate.weights(x, recip, how, allowzero, allowinf)
vanilla.fv(x)
weightedclosepairs(X, r, correction, what)
X2testEngine(OBS, EXP, ..., method, CR, df, nsim,
conditional, alternative, testname, dataname)The return values of these functions are not documented, and may change without warning.
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.