spatstat.explore-internal: Internal spatstat.explore functions
In spatstat.explore: Exploratory Data Analysis for the 'spatstat' Family

spatstat.explore-internal

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, ...)
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,
         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)
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,
  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)
maskLaslett(X, ..., eps, dimyx, xy, rule.eps, oldX, verbose, plotit)
match2DkernelName(kernel)
mctestSigtraceEngine(R, devdata, devsim, ...,
     interpolate, confint, alpha, exponent, unitname)
meanlistfv(z, ...)
## S3 replacement method for class 'fv'
names(x) <- value
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 'spatialcdf'
plot(x, ..., xlab, ylab, do.points)
polyLaslett(X, ..., oldX, verbose, plotit)
## S3 method for class 'exactppm'
predict(object, locations, ..., eps, dimyx, rule.eps)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
## 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)
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 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)
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)
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) 
## S3 method for class '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 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)
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.