spatstat-internal

0th

Percentile

Internal spatstat functions

Internal spatstat functions.

Keywords
internal
Usage
## S3 method for class 'splitppx':
[(x, \dots)
## S3 method for class 'splitppx':
[(x, \dots) <- value
## S3 method for class 'diagramobj':
[(x, \dots)
acedist.show(X, Y, n, d, timelag)
acedist.noshow(X, Y, n, d)
active.interactions(object)
adjustthinrange(ur,vstep,vr)
affinexy(X, mat, vec, invert)
affinexypolygon(p, mat, vec, detmat)
ang2rad(ang, unit, start, clockwise)
anycrossing.psp(A,B)
apply23sum(x)
applytolayers(L, FUN, ...)
applyPolyclipArgs(x, p)
Area.xypolygon(polly)
areadelta2(X, r, ...)
areaGain.diri(u, X, r, ..., W)
areaGain.grid(u, X, r, ..., W, ngrid)
areaLoss.diri(X, r, ..., W, subset)
areaLoss.grid(X, r, ..., W, subset,
                         method = c("count", "distmap"),
                         ngrid = spatstat.options("ngrid.disc"),
                         exact = FALSE)
articlebeforenumber(k)
assemble.plot.objects(xlim, ylim, ..., lines, polygon)
AsymmDistance.psp(X, Y, metric, method)
as.breakpts(...)
## S3 method for class 'units':
as.character(x, \dots)
## S3 method for class 'fv':
as.data.frame(x, \dots)
## S3 method for class 'bw.optim':
as.data.frame(x, \dots)
## S3 method for class 'im':
as.double(x, \dots)
## S3 method for class 'hyperframe':
as.list(x, \dots)
as.listof(x)
as.units(s)
as2vector(x)
asNumericMatrix(x)
augment.msr(x, ..., sigma)
badprobability(x, NAvalue)
bbEngine(...)
bermantestEngine(model, covariate, which, alternative, ..., modelname, covname, dataname)
bdrylength.xypolygon(polly)
bdry.mask(W)
bibliotheque(nom, dont)
bind.ratfv(x, numerator, denominator, labl, desc, preferred, ratio)
blankcoefnames(x)
blockdiagmatrix(...)
blockdiagarray(...)
bounding.box3(...)
break.holes(x, splitby, depth, maxdepth)
breakpts(val, maxi, even = FALSE, npos = NULL, step = NULL)
breakpts.from.r(r)
bt.frame(Q, trend, interaction, ..., covariates,
         correction, rbord, use.gam, allcovar)
bw.optim(cv, h, iopt, ..., cvname, hname, criterion)
can.be.formula(x)
cannot.update(...)
cartesian(pp, markset, fac = TRUE)
cat.factor(..., recursive=FALSE)
cellmiddles(W, nx, ny, npix, distances)
censtimeCDFest(o, cc, d, breaks, ...,
     KM, RS, HAN, RAW, han.denom, tt, pmax)
change.default.expand(x, newdefault)
checkbigmatrix(n, m, fatal, silent)
checkfields(X,L)          
check.finite(x, context, xname, fatal, usergiven)
check.hist.lengths(hist,breaks)
check.in.range(x, r, fatal)
check.named.list(x, nam, context, namopt)
check.named.vector(x, nam, context, namopt)
check.named.thing(x, nam, namopt, xtitle, valid, type, context, fatal)
check.nvector(v, npoints, fatal, things, naok, warn)
check.nmatrix(m, npoints, fatal, things, naok, squarematrix, matchto, warn)
check.1.integer(x, context, fatal)
check.1.real(x, context, fatal)
check.range(x, fatal)
check.rpanel()
check.testfun(f, f1, X)
choptext(..., prefix)
circticks(R, at, unit, start, clockwise, labels)
clarkevansCalc(X, correction, clipregion, working)
clip.psp(x, window, check=TRUE)
cliprect.psp(x, window)
clippoly.psp(s, window)
closethresh(X,R,S,ordered)
## S3 method for class 'summary.kppm':
coef(object, \dots)
## S3 method for class 'summary.ppm':
coef(object, \dots)
## S3 method for class 'vblogit':
coef(object, \dots) 
coerce.marks.numeric(X, warn)
## S3 method for class 'rat':
compatible(A, B, \dots) 
complaining(whinge, fatal, value)
compileCDF(D, B, r, ..., han.denom, check)
compileK(D, r, weights, denom, check, ratio, fname)
compilepcf(D, r, weights, denom, check, endcorrect, ..., fname)
conform.ratfv(x)
crosspairquad(Q,rmax,what)
cobble.xy(x, y, f, fatal, ...)
codetime(x, hms, what)
col.args.to.grey(x)
colouroutputs(x)
colouroutputs(x) <- value
commasep(x, join, flatten)
commonPolyclipArgs(..., p)
conform.imagelist(X, Zlist)
countingweights(id, areas, check = TRUE)
CressieReadStatistic(OBS,EXP,lambda)
CressieReadSymbol(lambda)
CressieReadName(lambda)
damaged.ppm(object)
data.mppm(x)
datagen.runifpointOnLines(n, L)
datagen.runifpoisppOnLines(lambda, L)
datagen.rpoisppOnLines(lambda, L, lmax, ..., check)
default.clipwindow(object, epsilon)
default.n.tiling(X, nd, ntile, npix, eps, random, quasi, verbose)
default.ntile(X)
deltasuffstat(model, ..., restrict, dataonly, force)
dflt.redraw(button, name, env)
densitycrossEngine(Xdata, Xquery, sigma, ...,
                    weights, edge, varcov,
                    diggle, sorted)
densitypointsEngine(x, sigma, ...,
                    weights, edge, varcov,
                    leaveoneout, diggle, sorted, spill)
diagnose.ppm.engine(object, ..., type, typename, opt,
                         sigma, rbord, compute.sd, compute.cts,
                         envelope, nsim, nrank,
                         rv, oldstyle, splineargs, verbose)
diagramobj(X, ...)
digital.volume(range, nval, vside)
dilate.owin(...)
## S3 method for class 'fasp':
dim(x)
## S3 method for class 'hyperframe':
dim(x)
## S3 method for class 'im':
dim(x)
## S3 method for class 'msr':
dim(x)
## S3 method for class 'owin':
dim(x)
## S3 method for class 'fasp':
dimnames(x)
## S3 method for class 'fasp':
dimnames(x) <- value
## S3 method for class 'msr':
dimnames(x)
distpl(p, l)               
distppl(p, l)
distppll(p, l, mintype, method, listit)
distppllmin(p, l, big)
distributecbind(x)
dist2dpath(dist, method="C")
divisors(n)
do.as.im(x, action, ..., W, eps, dimyx, xy, na.replace)
do.call.matched(fun, arglist, funargs, extrargs, matchfirst, sieve, skipargs)
do.call.plotfun(fun, arglist, ...)
do.call.without(fun, ..., avoid)
do.istat(panel)
doMultiStraussHard(iradii, hradii, types)
dotexpr.to.call(expr, dot, evaluator)
dropifsingle(x)
dround(x)
emptywindow(w)
ensure2vector(x)
ensure3Darray(x)
envelopeEngine(X, fun, simul,
           nsim, nrank, ..., 
           verbose, clipdata, 
           transform, global, ginterval, use.theory,
           alternative,
           savefuns, savepatterns, saveresultof,
           weights,
           nsim2, VARIANCE, nSD,
           Yname, maxnerr, internal, cl,
           envir.user, expected.arg, do.pwrong)
envelopeProgressData(X, fun, ..., exponent, normalize, deflate)
envelopeTest(X, ..., exponent, alternative,
            rinterval, use.theo, tie.rule,
            save.envelope, savefuns, savepatterns,
            Xname, verbose, internal)
## S3 method for class 'matrix':
envelope(Y, \dots, rvals, observed, theory, funX,
      nsim, nsim2, jsim, jsim.mean,
      type, alternative, csr, use.theory, nrank, ginterval, nSD,
      savefuns, check, Yname, do.pwrong, weights, precomputed)
equalpairs(U, X, marked=FALSE)
equalpairs.quad(Q)
equals.quad(Q)          
equalsfun.quad(Q)          
eratosthenes(nmax, startset)
erodemask(w,r,strict)
erode.owin(...)
evalCovar(model, covariate, ...)
## S3 method for class 'ppm':
evalCovar(model, covariate, \dots, lambdatype,
          dimyx, eps, jitter, modelname, covname, dataname) 
## S3 method for class 'lppm':
evalCovar(model, covariate, \dots, lambdatype, 
          eps, nd, jitter, modelname, covname, dataname)
evalCovariate(covariate, locations)
evalInteraction(X,P,E,interaction,correction,...,precomputed,savecomputed)
evalInterEngine(X,P,E,interaction,correction,...,
                Reach,precomputed,savecomputed)
evalPairPotential(X,P,E,pairpot,potpars,R)
even.breaks.owin(w)
evenly.spaced(x, tol)
exactdt(X, ...)              
exactPdt(w)
exhibitStringList(prefix, strings)
expand.polynom(f)
expandSpecialLists(x, special)
expandwinPerfect(W, expand, amount)
explain.ifnot(expr, context)
## S3 method for class 'slrm':
extractAIC(fit, scale = 0, k = 2, \dots)
extractAtomicQtests(x)
fakecallstring(fname, parlist)
fakemaintitle(bb, main, ...)
## S3 method for class 'vblogit':
family(object, \dots)
fave.order(x)
f3engine(x, y, z, box, vside, range, nval, correction)
f3Cengine(x, y, z, box, vside, rmax, nrval)
fasp(fns, which, formulae, dataname, title, rowNames, colNames, checkfv)
fillseq(x)
findbestlegendpos(...)
findCovariate(covname, scope, scopename=NULL)
findcbind(root, depth, maxdepth)
findfirstfactor(x)
firstfactor(x)
fii(interaction, coefs, Vnames, IsOffset)
fillNA(x, value)
flat.deparse(x)
flatfname(x)
flipxypolygon(p)
fontify(x, font)
forbidNA(x, context, xname, fatal, usergiven)
forbid.logi(object)
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)
greatest.common.divisor(n,m)
getdataname(defaultvalue, ..., dataname)
getdataobjects(nama, envir, datalist, fatal)
getfields(X, L, fatal = TRUE)
getglmdata(object, drop=FALSE)
getglmfit(object)
getglmsubset(object)
getlambda.lpp(lambda, X, ..., update)
getlastshift(X)
getppmdatasubset(object)
getppmOriginalCovariates(object)
getSpatstatVariable(name)
getSumFun(abbreviation, classname, ismarked, fatal)
geyercounts(U,X,r,sat,Xcounts,EqualPairs)
geyerdelta2(X,r,sat)
GLMpredict(fit, data, coefs, changecoef)
good.names(nama, defaults, suffices)
good.correction.K(X)
graphicsPars(key)
gridindex(x, y, xrange, yrange, nx, ny)            
grid1index(x, xrange, nx)
grow.mask(M, xmargin=0, ymargin=xmargin)
gsubdot(replacement, x)
HermiteCoefs(order)
handle.r.b.args(r = NULL, breaks = NULL, window, pixeps = NULL, rmaxdefault)
handle.rshift.args(W, ..., radius, width, height, edge, clip,
edgedefault)
## S3 method for class 'hyperframe':
head(x,n,\dots)
hierarchicalordering(i, s)
hiermat(x, h)
ho.engine(model, ..., nsim, nrmh, start, control, verb)
hsvNA(h, s, v, ...)
IdenticalRows(i,j,a,b)
identical.formulae(x,y)
idorempty(w, r, caller)
ifelseAB(test, a, b)
ifelseAX(test, a, x)
ifelseXB(test, x, b)
ifelseXY(test, x, y)
ifelse1NA(test)
ifelse0NA(test)
ifelseNegPos(test, x)
illegal.iformula(ifmla, itags, dfvarnames)
implemented.for.K(correction, windowtype, explicit)
impliedpresence(tags, formula, df, extranames=character(0))
impliedcoefficients(object, tag)
inject.expr(base, expr)
inpoint(W)
inside.range(x, r)
inside.triangle(x, y, xx, yy)
inside.xypolygon(pts, polly, test01, method)
instantiate.interact(x, par)
intermaker(f, blank)
intersect.ranges(a,b,fatal)
intX.owin(w)
intX.xypolygon(polly)
intY.owin(w)
intY.xypolygon(polly)
invokeColourmapRule(colfun, x, ..., zlim, colargs)
is.atomicQtest(x)
is.cadlag(s)
is.col.argname(x)
is.data(Q)
is.expandable(x)
## S3 method for class 'ppm':
is.expandable(x)  
## S3 method for class 'rmhmodel':
is.expandable(x) 
is.fv(x)
is.hole.xypolygon(polly)
is.hyperframe(x)
is.infline(x)
is.interact(x)
## S3 method for class 'default':
is.marked(\dots)  
## S3 method for class 'psp':
is.marked(X, \dots)
## S3 method for class 'quad':
is.marked(X, na.action="warn", \dots)
is.mppm(x)
## S3 method for class 'default':
is.multitype(X, \dots)  
## S3 method for class 'quad':
is.multitype(X, na.action="warn", \dots)
is.parseable(x)
## S3 method for class 'mppm':
is.poisson(x)
is.pp3(x)
is.ppx(x)
is.prime(n)
is.psp(x)
is.sob(x)
is.tess(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)
Kount(dIJ, bI, b, breaks)
Kwtsum(dIJ, bI, wIJ, b, w, breaks)
Kpcf.kppm(model, what)
killinteraction(model)
km.rs.opt(o, cc, d, breaks, KM, RS)
kppmComLik(X, Xname, po, clusters, control, weightfun, rmax,
           algorithm, ...)
kppmMinCon(X, Xname, po, clusters, control, statistic, statargs,
           algorithm, ...)
kppmPalmLik(X, Xname, po, clusters, control, weightfun, rmax, 
           algorithm, ...)
## S3 method for class 'ppm':
labels(object, \dots)
least.common.multiple(n,m)
## S3 method for class 'im':
levels(x)
## S3 method for class 'im':
levels(x) <- value
lhs.of.formula(x)
linequad(X, Y, ..., eps, nd)
linearKengine(X, ..., r, reweight, denom, correction, showworking)
linearKmulti(X, I, J, r, ..., correction)
linearKmulti.inhom(X, I, J, lambdaI, lambdaJ, r, ..., correction, normalise)
linearpcfengine(X, ..., r, reweight, denom, correction)
linearpcfmulti(X, I, J, r, ..., correction)
linearpcfmulti.inhom(X, I, J, lambdaI, lambdaJ, r, ...,
                     correction, normalise)
linearKmultiEngine(X, I, J, ...,
                   r, reweight, denom, correction, showworking)
linearPCFmultiEngine(X, I, J, ...,
                   r, reweight, denom, correction, showworking)
listof(...)
localKengine(X, ..., wantL, lambda, correction, verbose, rvalue)
localpcfengine(X, ..., delta, rmax, nr, stoyan, lambda)
localpcfmatrix(X, i, ..., lambda, delta, rmax, nr, stoyan)
local2lpp(L, seg, tp, X)
logi.dummy(X, dummytype, nd, mark.repeat, ...)
logi.engine(Q, trend, interaction, ..., 
            covariates, subsetexpr, correction, rbord, covfunargs, allcovar, 
            vnamebase, vnameprefix, justQ, savecomputed, precomputed,
            VB)
## S3 method for class 'vblogit':
logLik(object, \dots) 
lty2char(i)
padtowidth(a, b, justify)
## S3 method for class 'interact':
parameters(model, \dots)
## S3 method for class 'fii':
parameters(model, \dots)
parbreak(terse)
passthrough(.Fun, ..., .Fname)
paste.expr(x)
plan.legend.layout(B, ..., side, sep, size, sep.frac, size.frac,
                   started, map)
PoisSaddleApp(beta, fi)
polytileareaEngine(P, xrange, yrange, nx, ny)
prettyinside(x, ...)
prettydiscrete(x, n)
## S3 method for class 'localpcfmatrix':
print(x, \dots)
## S3 method for class 'localpcfmatrix':
plot(x, \dots)
putSpatstatVariable(name, value)
## S3 method for class 'localpcfmatrix':
[(x, i, \dots)
## S3 method for class 'pp3':
[(x, i, \dots)
lookup.im(Z, x, y, naok, strict)
majorminorversion(v)
make.even.breaks(bmax, npos, bstep)
makefvlabel(op, accent, fname, sub, argname)
make.parseable(x)
makeunits(sing, plur, mul)
mapstrings(x, map)
markappend(...)
markcbind(...)
markformat(x)
## S3 method for class 'ppp':
markformat(x) 
## S3 method for class 'ppx':
markformat(x) 
## S3 method for class 'psp':
markformat(x) 
## S3 method for class 'default':
markformat(x) 
mark.scale.default(marx, w, markscale, maxsize, meansize, characters)
markspace.integral(X)
## S3 method for class 'default':
marks(x, \dots)
## S3 method for class 'quad':
marks(x, dfok=FALSE, \dots)
markappendop(x, y)
x %mapp% y
marksubset(x, index, format)
marksubsetop(x, i)
x %msub% i
markreplicateop(x, n)
x %mrep% n
mask2df(w)
matcolall(x)
matcolany(x)
matcolsum(x)            
matrixsample(mat, newdim, phase, scale, na.value)
matrowall(x)
matrowany(x)
matrowsum(x)
maxflow(costm)
meanlistfv(z, ...)
meanX.owin(w)            
meanY.owin(w)
model.se.image(fit, W, ..., what)
mpl.engine(Q, trend, interaction, ...,
         covariates, subsetexpr, covfunargs, correction,
	 rbord, use.gam, gcontrol, famille,
         forcefit, nd, eps, allcovar, callstring,
         precomputed, savecomputed, preponly,
         rename.intercept, justQ, weightfactor)
mpl.get.covariates(covariates, locations, type, covfunargs, need.deriv)
mpl.prepare(Q, X, P, trend, interaction, covariates, 
            want.trend, want.inter, correction, rbord, Pname,
            callstring, ...,
            subsetexpr,
            covfunargs, allcovar, precomputed, savecomputed,
            vnamebase, vnameprefix, warn.illegal, warn.unidentifiable,
            weightfactor, skip.border)
mpl.usable(x)
MultiPair.checkmatrix(mat, n, matname, naok, zerook, asymmok)
multiplicityNumeric(x)
multiply.only.finite.entries(x, a)
na.handle.im(X, na.replace)
## S3 method for class 'fv':
names(x) <- value
## S3 method for class 'hyperframe':
names(x)
## S3 method for class 'hyperframe':
names(x) <- value
nearest.pixel(x, y, im)
nearest.valid.pixel(x, y, im)
newformula(old, change, eold, enew)
newstyle.coeff.handling(object)
niceround(x, m)
nncleanEngine(kthNND, k, d, ..., tol, maxit,
              plothist, lineargs, verbose, Xname)
nndcumfun(X, ..., r)
no.trend.ppm(x)
nobjects(x)
## S3 method for class 'ppp':
nobjects(x)
## S3 method for class 'ppx':
nobjects(x)
## S3 method for class 'psp':
nobjects(x)
n.quad(Q)
numalign(i, nmax, zero)
numeric.columns(M, logical, others)
nzpaste(..., sep, collapse)
objsurfEngine(objfun, optpar, objargs,
              ..., dotargs, objname,
              ngrid, ratio, verbose)
offsetsinformula(x)
onecolumn(m)
optimStatus(x, call)
printStatus(x, errors.only)
signalStatus(x, errors.only)
ordinal(k)
a %orifnull% b
outdated.interact(object)
overlap.trapezium(xa, ya, xb, yb, verb = FALSE)
overlap.xypolygon(P, Q)
oversize.quad(Q, ..., nU, nX)
owinpolycheck(W, verbose=TRUE)
owinpoly2mask(w, rasta, check=TRUE)
## S3 method for class 'listof':
pairs(\dots, plot=TRUE)
## S3 method for class 'solist':
pairs(\dots, plot=TRUE)
param.quad(Q)
paren(x, type)
partialModelMatrix(X,D,model,callstring,...)
pasteFormula(f)
pcf3engine(x, y, z, box, rmax, nrval, correction, delta)
pcfmulti.inhom(X, I, J, lambdaI = NULL, lambdaJ = NULL, ...,
               r = NULL, breaks = NULL,
               kernel = "epanechnikov", bw = NULL, stoyan = 0.15,
               correction = c("translate", "Ripley"),
               sigma = NULL, varcov = NULL,
               Iname = "points satisfying condition I",
               Jname = "points satisfying condition J")
pickoption(what="option", key, keymap, ...,
           exact=FALSE, list.on.err=TRUE, die=TRUE, multi=FALSE)
plotEachLayer(x, ..., main, plotargs, add, show.all, do.plot)
ploterodewin(W1, W2, col.edge, col.inside, do.plot, ...)
ploterodeimage(W, Z, ..., Wcol, rangeZ, colsZ, do.plot)
plot3Dpoints(xyz, eye, org,
             ...,
             type, xlim, ylim, zlim,
             add, box, main, cex, box.back, box.front)
plotPolygonBdry(x, ...)
## S3 method for class 'addvar':
plot(x, \dots, do.points=FALSE)
## S3 method for class 'barplotdata':
plot(x, \dots)
## S3 method for class 'bw.frac':
plot(x, \dots)
## S3 method for class 'bw.optim':
plot(x, \dots, showopt, optargs)
## S3 method for class 'lurk':
plot(x, \dots, shade)
## S3 method for class 'minconfit':
plot(x, \dots)
## S3 method for class 'parres':
plot(x, \dots)
## S3 method for class 'pppmatching':
plot(x, addmatch = NULL, main = NULL, \dots)
## S3 method for class 'plotpairsim':
plot(x, \dots)
## S3 method for class 'profilepl':
plot(x, \dots, add, main, tag, coeff, xvariable,
                         col, lty, lwd, col.opt, lty.opt, lwd.opt)
## S3 method for class 'qqppm':
plot(x, \dots, limits=TRUE,
           monochrome=spatstat.options('monochrome'),
           limcol=if(monochrome) "black" else "red")
## S3 method for class 'spatialcdf':
plot(x, \dots, xlab, ylab)
## S3 method for class 'studpermutest':
plot(x, fmla, \dots,
        lty = NULL, col = NULL, lwd = NULL,
        lty.theo = NULL, col.theo = NULL, lwd.theo = NULL,
        lwd.mean = if (meanonly) 1 else NULL, lty.mean = lty, col.mean = col, 
        separately = FALSE, meanonly = FALSE,
        main = if (meanonly) "group means" else NULL,
        xlim = NULL, ylim = NULL, ylab = NULL, legend = !add,
        legendpos = "topleft", lbox = FALSE, add = FALSE)
polynom(x, ...)
ppllengine(X, Y, action="project", check=FALSE)
## S3 method for class 'default':
ppm(Q, trend, interaction,
       \dots, covariates, data, covfunargs, subset, 
       correction, rbord, use.gam, method, forcefit, project,
       prior.mean, prior.var,
       nd, eps, gcontrol, nsim, nrmh, start, control,
       verb, callstring)
ppmCovariates(model)
ppmDerivatives(fit, what, Dcovfun, loc, covfunargs)
ppmInfluence(fit, what, ..., iScore, iHessian, iArgs,
              drop, method, precomputed)
pppdist.mat(X, Y, cutoff = 1, q = 1, matching = TRUE,
            precision = 9, approximation = 10)
pppdist.prohorov(X, Y, n, dfix, type, cutoff, matching,
            ccode, auction, precision, approximation) 
ppsubset(X, I)
prange(x)
## S3 method for class 'vblogit':
predict(object, newdata, type, se.fit, dispersion,
                          terms, na.action, \dots)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
prepareTitle(main)
primefactors(n, prmax)
primesbelow(nmax)
## S3 method for class 'addvar':
print(x, \dots)
## S3 method for class 'anylist':
print(x, \dots)
## S3 method for class 'autoexec':
print(x, \dots)
## S3 method for class 'bt.frame':
print(x, \dots)
## S3 method for class 'bw.frac':
print(x, \dots)
## S3 method for class 'bw.optim':
print(x, \dots)
## S3 method for class 'colourmap':
print(x, \dots)
## S3 method for class 'diagppm':
print(x, \dots)
## S3 method for class 'distfun':
print(x, \dots)
## S3 method for class 'envelope':
print(x, \dots)
## S3 method for class 'ewcdf':
print(x, digits, \dots)
## S3 method for class 'fasp':
print(x, \dots)
## S3 method for class 'funxy':
print(x, \dots)
## S3 method for class 'fv':
print(x, \dots, tight)
## S3 method for class 'fvfun':
print(x, \dots)
## S3 method for class 'hierarchicalordering':
print(x, \dots)
## S3 method for class 'hyperframe':
print(x, \dots)
## S3 method for class 'influence.ppm':
print(x, \dots)
## S3 method for class 'interact':
print(x, \dots, family, brief, banner)       
## S3 method for class 'intermaker':
print(x, \dots)
## S3 method for class 'isf':
print(x, \dots)
## S3 method for class 'layered':
print(x, \dots)
## S3 method for class 'leverage.ppm':
print(x, \dots)
## S3 method for class 'lut':
print(x, \dots)
## S3 method for class 'minconfit':
print(x, \dots)
## S3 method for class 'mppm':
print(x, \dots)
## S3 method for class 'msr':
print(x, \dots)
## S3 method for class 'nnfun':
print(x, \dots)
## S3 method for class 'onearrow':
print(x, \dots)
## S3 method for class 'parres':
print(x, \dots)
## S3 method for class 'plotppm':
print(x, \dots)
## S3 method for class 'plotpairsim':
print(x, \dots)
## S3 method for class 'pppmatching':
print(x, \dots)
## S3 method for class 'profilepl':
print(x, \dots)
## S3 method for class 'quadrattest':
print(x, \dots)
## S3 method for class 'qqppm':
print(x, \dots)
## S3 method for class 'rat':
print(x, \dots)
## S3 method for class 'rmhcontrol':
print(x, \dots)
## S3 method for class 'rmhexpand':
print(x, \dots, prefix=TRUE)
## S3 method for class 'rmhmodel':
print(x, \dots)
## S3 method for class 'rmhstart':
print(x, \dots)
## S3 method for class 'rmhInfoList':
print(x, \dots)
## S3 method for class 'simplepanel':
print(x, \dots)
## S3 method for class 'Smoothfun':
print(x, \dots)
## S3 method for class 'solist':
print(x, \dots)
## S3 method for class 'splitppp':
print(x, \dots)
## S3 method for class 'splitppx':
print(x, \dots)
## S3 method for class 'summary.hyperframe':
print(x, \dots)
## S3 method for class 'summary.linnet':
print(x, \dots)
## S3 method for class 'summary.listof':
print(x, \dots)
## S3 method for class 'summary.logiquad':
print(x, \dots, dp=3)
## S3 method for class 'summary.lut':
print(x, \dots)
## S3 method for class 'summary.mppm':
print(x, \dots, brief)
## S3 method for class 'summary.owin':
print(x, \dots)
## S3 method for class 'summary.ppp':
print(x, \dots, dp)
## S3 method for class 'summary.psp':
print(x, \dots)
## S3 method for class 'summary.rmhexpand':
print(x, \dots)
## S3 method for class 'summary.splitppp':
print(x, \dots)
## S3 method for class 'summary.solist':
print(x, \dots)
## S3 method for class 'summary.splitppx':
print(x, \dots)
## S3 method for class 'summary.units':
print(x, \dots)
## S3 method for class 'symbolmap':
print(x, \dots)
## S3 method for class 'textstring':
print(x, \dots)
## S3 method for class 'texturemap':
print(x, \dots)
## S3 method for class 'tess':
print(x, \dots, brief=FALSE)
## S3 method for class 'timed':
print(x, \dots)
## S3 method for class 'vblogit':
print(x, \dots)
## S3 method for class 'yardstick':
print(x, \dots)
project3Dhom(xyz, eye, org, vert)
prolongseq(x, newrange, step)
putlastshift(X, vec)
quad(data, dummy, w, param)
quad.mppm(x)
RandomFieldsSafe()
ratfv(df, numer, denom, ..., ratio)
recognise.spatstat.type(x)
rectquadrat.breaks(xr, yr, nx = 5, ny = nx, xbreaks = NULL, ybreaks = NULL)
rectquadrat.countEngine(x, y, xbreaks, ybreaks, weights)
reduceformula(fmla, deletevar, verbose)
repair.image.xycoords(x)
resolveEinfo(x, what, fallback, warn)
resolve.vargamma.shape(..., nu.ker, nu.pcf, default = FALSE)
rgbNA(red, green, blue, ...)
rhs.of.formula(x, tilde)
rhohatEngine(model, covariate, reference, volume, ...,
               weights, method, horvitz, smoother, resolution, 
               n, bw, adjust, from, to, 
               bwref, covname, covunits, confidence, modelcall, callstring)
rhohatCalc(ZX, Zvalues, lambda, denom, ...,
           weights, lambdaX,
           method, horvitz, smoother,
           n, bw, adjust, from, to, 
           bwref, covname, confidence,
           covunits, modelcall, callstring, savestuff)
rigidradius(X)
RmhExpandRule(nama)
romansort(x)
rmhsnoop(..., Wsim, Wclip, R, xcoords, ycoords, mlevels, mcodes, irep, itype, 
     proptype, proplocn, propmark, propindx, numerator, denominator)
roseContinuous(ang, rad, unit, ...,
               start, clockwise, main, labels, at, do.plot)
ruletextline(ch, n, terse)
quadrat.testEngine(X, nx, ny, alternative, method, conditional, CR, 
     ..., nsim, Xcount, xbreaks, ybreaks, tess, fit, Xname, fitname)
quadscheme.replicated(data, dummy, method, ...)
quadscheme.spatial(data, dummy, method, ...)
pointgrid(W, ngrid)
rastersample(X, Y)
rasterx.mask(w, drop)
rastery.mask(w, drop)
rasterxy.mask(w, drop)
rasterx.im(x)
rastery.im(x)
rasterxy.im(x, drop)
rebadge.fv(x, new.ylab, new.fname, tags, new.desc, new.labl, new.yexp,
           new.dotnames, new.preferred, new.formula, new.tags)
rebadge.as.crossfun(x, main, sub, i, j)
rebadge.as.dotfun(x, main, sub, i)
rebound(x, rect)
## S3 method for class 'im':
rebound(x, rect)  
## S3 method for class 'ppp':
rebound(x, rect) 
## S3 method for class 'psp':
rebound(x, rect) 
## S3 method for class 'owin':
rebound(x, rect)
reconcile.fv(...)
repair.old.factor.image(x)
reincarnate.interact(object)
resid4plot(RES, plot.neg, plot.smooth,
           spacing, outer, srange, monochrome, main,
           xlab, ylab, rlab, ...)
resid1plot(RES, opt, plot.neg, plot.smooth,
              srange, monochrome, main,
              add, show.all, do.plot, ...)
resid1panel(observedX, observedV,
            theoreticalX, theoreticalV, theoreticalSD,
            xlab,ylab, ..., do.plot)
resolve.defaults(..., .MatchNull=TRUE, .StripNull=FALSE)
resolve.1.default(.A, ...)
resolve.2D.kernel(...,
            sigma, varcov, x, mindist, adjust, bwfun, allow.zero)
restrict.mask(M, W)
reverse.xypolygon(p, adjust=FALSE)
reversePolyclipArgs(x, p)
revcumsum(x)
rmax.rule(fun, W, lambda)
rotxy(X, angle = pi/2)
rotxypolygon(p, angle = pi/2)
rmhResolveControl(control, model)
rmhResolveExpansion(win, control, imagelist, itype)
rmhResolveTypes(model, start, control)
rmhSnoopEnv(Xinit, Wclip, R)
## S3 method for class 'rmhcontrol':
rmhcontrol(\dots) 
## S3 method for class 'list':
rmhcontrol(\dots) 
rmhEngine(InfoList, ..., verbose, kitchensink, preponly, snoop) 
## S3 method for class 'rmhmodel':
rmhmodel(model, \dots) 
## S3 method for class 'rmhstart':
rmhstart(start, \dots) 
## S3 method for class 'list':
rmhstart(start, \dots) 
rmpoint.I.allim(n, f, types)
## S3 method for class 'hyperframe':
row.names(x)
## S3 method for class 'hyperframe':
row.names(x) <- value
rpoint.multi(n, f, fmax, marks, win, giveup, verbose, warn, nsim, drop)
runifpoispp(lambda, win, ..., nsim, drop)
runifpoisppOnLines(lambda, L, nsim)
runifrect(n, win, nsim, drop)
safedeldir(X)
safelookup(Z, X, factor, warn)
samefunction(f, g)
## S3 method for class 'breakpts':
scalardilate(X, f, \dots)
## S3 method for class 'diagramobj':
scalardilate(X, f, \dots)
## S3 method for class 'msr':
scalardilate(X, f, \dots)
scanmeasure(X, ...)
## S3 method for class 'ppp':
scanmeasure(X, r, \dots, method) 
## S3 method for class 'im':
scanmeasure(X, r, \dots)
scanPoisLRTS(nZ, nG, muZ, muG, alternative)
scanBinomLRTS(nZ, nG, muZ, muG, alternative)
second.moment.calc(x, sigma=NULL, edge=TRUE, what="Kmeasure", debug=FALSE,
..., varcov=NULL, expand=FALSE)
second.moment.engine(x, sigma, edge, what, ...,
      kernel, obswin, varcov, npts, debug)
sensiblevarname(guess, fallback, maxlen)
sewpcf(d, w, denargs, lambda2area, divisor)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
## S3 method for class 'diagramobj':
shift(X, \dots)
## S3 method for class 'influence.ppm':
shift(X, \dots)
## S3 method for class 'leverage.ppm':
shift(X, \dots)
## S3 method for class 'msr':
shift(X, \dots)
## S3 method for class 'quadratcount':
shift(X, \dots)
## S3 method for class 'quadrattest':
shift(X, \dots)
shiftxy(X, vec = c(0, 0))
shiftxypolygon(p, vec = c(0, 0))
short.deparse(x, maxlen)
simplenumber(x, unit, multiply, tol)
simplify.xypolygon(p, dmin)
## S3 method for class 'profilepl':
simulate(object, \dots)
simulrecipe(type, expr, envir, csr, pois, constraints)
singlestring(s, coll)
slr.prepare(CallInfo, envir, data, dataAtPoints, splitby, clip)
slrAssemblePixelData(Y, Yname, W, covimages, dataAtPoints, pixelarea)
## S3 method for class 'solist':
Smooth(X, \dots)
smoothcrossEngine(Xdata, Xquery, values, sigma, ...,
                    weights, varcov, sorted)
smoothpointsEngine(x, values, sigma, ...,
                    weights, varcov, leaveoneout, sorted)
## S3 method for class 'im':
sort(x, \dots)
spatstat.rawdata.location(...)
spatstatClusterModelInfo(name, onlyPCP)
spatstatLocator(n, ...)
spatstatRmhInfo(cifname)
spatialCDFframe(model, covariate, ...)
spatialCDFtest(model, covariate, test, ...,
         dimyx, eps, jitter, nsim, verbose, modelname, covname, dataname)
sphere.volume(range, nval = 10)splitHybridInteraction(coeffs, inte)
sp.foundclass(cname, inlist, formalname, argsgiven)             
sp.foundclasses(cnames, inlist, formalname, argsgiven)
startinrange(x0, dx, r)
store.versionstring.spatstat()
## S3 method for class 'hyperframe':
str(object, \dots)
strausscounts(U,X,r,EqualPairs)
strsplitretain(x, split)
substringcount(x,y)
suffloc(object)
suffstat.generic(model, X, callstring)
suffstat.poisson(model, X, callstring)
summarise.trend(trend, w, a)
## S3 method for class 'envelope':
summary(object,\dots)
## S3 method for class 'hyperframe':
summary(object, \dots, brief=FALSE)
## S3 method for class 'logiquad':
summary(object, \dots, checkdup=FALSE)
## S3 method for class 'lut':
summary(object, \dots)
## S3 method for class 'mppm':
summary(object, \dots, brief=FALSE)
## S3 method for class 'profilepl':
summary(object, \dots)
## S3 method for class 'pppmatching':
summary(object, \dots)
## S3 method for class 'ppx':
summary(object, \dots)
## S3 method for class 'rmhexpand':
summary(object, \dots)
## S3 method for class 'splitppx':
summary(object, \dots)
## S3 method for class 'vblogit':
summary(object, \dots)
sumsymouter(x, w)
superimposeMarks(arglist, nobj)
symbolmaptype(x)
sympoly(x, y, n)
## S3 method for class 'hyperframe':
tail(x,n,\dots)
termsinformula(x)
test.crossing.psp(A,B)
test.selfcrossing.psp(A)
there.is.no.try(...)
tilecentroids(W, nx, ny)
tileindex(x, y, Z)
transradius(W)
trap.extra.arguments(..., .Context, .Fatal)
trianglediameters(iedge, jedge, edgelength, ..., nvert, check)
trim.mask(M, R, tolerant)
truncline(x, nc)
tweak.fv.entry(x, current.tag, new.labl=NULL, new.desc=NULL,
new.tag=NULL)
## S3 method for class 'default':
unitname(x) 
## S3 method for class 'default':
unitname(x) <- value 
unparen(x)
## S3 method for class 'interact':
update(object, \dots) 
## S3 method for class 'im':
update(object, \dots) 
## S3 method for class 'ippm':
update(object, \dots, envir) 
## S3 method for class 'rmhstart':
update(object, \dots)
uptrimat(x)
validradius(r, caller)
validate.angles(angles, unit, guess)
validate.mask(w, fatal=TRUE)        
validate.quad(Q, fatal, repair, announce)
validposint(n, caller, fatal)
vanilla.fv(x)
variablesinformula(x)verbalogic(x, op)
versionstring.interact(object)
versionstring.ppm(object)
versionstring.spatstat()
verifyclass(X, C, N = deparse(substitute(X)), fatal = TRUE)
verify.xypolygon(p, fatal=TRUE)
warn.ignored.args(..., context)
warn.once(key, ...)
waxlyrical(type, terse)
weighted.var(x, w, na.rm)
windows.mppm(x)
w.quad(Q)               
x.quad(Q)
y.quad(Q)
xy.grid(xr, yr, nx, ny, dx, dy)
X2testEngine(OBS, EXP, ..., method, CR, df, nsim,
     conditional, alternative, testname, dataname)
## S3 method for class 'im':
xtfrm(x)
xypolyselfint(p, eps, proper, yesorno, checkinternal)
xypolygon2psp(p, w, check)
Details

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

Aliases
  • [.pp3
  • [.localpcfmatrix
  • [.splitppx
  • [.diagramobj
  • [<-.splitppx
  • acedist.show
  • acedist.noshow
  • active.interactions
  • adjustthinrange
  • affinexy
  • affinexypolygon
  • ang2rad
  • anycrossing.psp
  • apply23sum
  • applytolayers
  • applyPolyclipArgs
  • Area.xypolygon
  • areadelta2
  • areaGain.diri
  • areaGain.grid
  • areaLoss.diri
  • areaLoss.grid
  • articlebeforenumber
  • assemble.plot.objects
  • AsymmDistance.psp
  • as.breakpts
  • as.character.units
  • as.data.frame.bw.optim
  • as.data.frame.fv
  • as.double.im
  • as.list.hyperframe
  • as.listof
  • as.units
  • as2vector
  • asNumericMatrix
  • augment.msr
  • badprobability
  • bbEngine
  • bermantestEngine
  • bdrylength.xypolygon
  • bdry.mask
  • bibliotheque
  • bind.ratfv
  • blankcoefnames
  • blockdiagmatrix
  • blockdiagarray
  • bounding.box3
  • break.holes
  • breakpts
  • breakpts.from.r
  • bt.frame
  • bw.optim
  • can.be.formula
  • cannot.update
  • cartesian
  • cat.factor
  • cellmiddles
  • censtimeCDFest
  • change.default.expand
  • checkbigmatrix
  • checkfields
  • check.finite
  • check.hist.lengths
  • check.in.range
  • check.named.list
  • check.named.thing
  • check.named.vector
  • check.nvector
  • check.nmatrix
  • check.1.integer
  • check.1.real
  • check.range
  • check.rpanel
  • check.testfun
  • choptext
  • circticks
  • clarkevansCalc
  • clip.psp
  • cliprect.psp
  • clippoly.psp
  • closethresh
  • coef.summary.kppm
  • coef.summary.ppm
  • coef.vblogit
  • coerce.marks.numeric
  • compatible.rat
  • complaining
  • compileCDF
  • compileK
  • compilepcf
  • conform.ratfv
  • crosspairquad
  • cobble.xy
  • codetime
  • col.args.to.grey
  • colouroutputs
  • colouroutputs<-
  • commasep
  • commonPolyclipArgs
  • conform.imagelist
  • countingweights
  • CressieReadStatistic
  • CressieReadSymbol
  • CressieReadName
  • damaged.ppm
  • data.mppm
  • datagen.runifpointOnLines
  • datagen.runifpoisppOnLines
  • datagen.rpoisppOnLines
  • default.clipwindow
  • default.n.tiling
  • default.ntile
  • deltasuffstat
  • dflt.redraw
  • densitycrossEngine
  • densitypointsEngine
  • diagnose.ppm.engine
  • diagramobj
  • digital.volume
  • dilate.owin
  • dim.fasp
  • dim.hyperframe
  • dim.im
  • dim.msr
  • dim.owin
  • dimnames.fasp
  • dimnames<-.fasp
  • dimnames.msr
  • distpl
  • distppl
  • distppll
  • distppllmin
  • distributecbind
  • dist2dpath
  • divisors
  • do.as.im
  • do.call.matched
  • do.call.plotfun
  • do.call.without
  • do.istat
  • doMultiStraussHard
  • dotexpr.to.call
  • dropifsingle
  • dround
  • emptywindow
  • ensure2vector
  • ensure3Darray
  • envelopeEngine
  • envelopeProgressData
  • envelopeTest
  • envelope.matrix
  • equalpairs
  • equalpairs.quad
  • equals.quad
  • equalsfun.quad
  • eratosthenes
  • erodemask
  • erode.owin
  • evalCovar
  • evalCovar.ppm
  • evalCovar.lppm
  • evalCovariate
  • evalInteraction
  • evalInterEngine
  • evalPairPotential
  • even.breaks.owin
  • evenly.spaced
  • exactdt
  • exactPdt
  • exhibitStringList
  • expand.polynom
  • expandSpecialLists
  • expandwinPerfect
  • explain.ifnot
  • extractAIC.slrm
  • extractAtomicQtests
  • fakecallstring
  • fakemaintitle
  • family.vblogit
  • fave.order
  • f3engine
  • f3Cengine
  • fasp
  • fillseq
  • findbestlegendpos
  • findCovariate
  • findcbind
  • findfirstfactor
  • firstfactor
  • fii
  • fillNA
  • flat.deparse
  • flatfname
  • flipxypolygon
  • fontify
  • forbidNA
  • forbid.logi
  • FormatFaspFormulae
  • fvexprmap
  • fvlabels
  • fvlabels<-
  • fvlabelmap
  • fvlegend
  • g3engine
  • g3Cengine
  • greatest.common.divisor
  • getdataname
  • getdataobjects
  • getfields
  • getglmdata
  • getglmfit
  • getglmsubset
  • getlambda.lpp
  • getlastshift
  • getppmdatasubset
  • getppmOriginalCovariates
  • getSpatstatVariable
  • getSumFun
  • geyercounts
  • geyerdelta2
  • GLMpredict
  • good.names
  • good.correction.K
  • graphicsPars
  • gridindex
  • grid1index
  • grow.mask
  • gsubdot
  • HermiteCoefs
  • handle.r.b.args
  • handle.rshift.args
  • head.hyperframe
  • hierarchicalordering
  • hiermat
  • ho.engine
  • hsvNA
  • IdenticalRows
  • identical.formulae
  • idorempty
  • ifelseAB
  • ifelseAX
  • ifelseXB
  • ifelseXY
  • ifelse1NA
  • ifelse0NA
  • ifelseNegPos
  • illegal.iformula
  • implemented.for.K
  • impliedpresence
  • impliedcoefficients
  • inject.expr
  • inpoint
  • inside.range
  • inside.triangle
  • inside.xypolygon
  • instantiate.interact
  • intermaker
  • intersect.ranges
  • intX.owin
  • intX.xypolygon
  • intY.owin
  • intY.xypolygon
  • invokeColourmapRule
  • is.atomicQtest
  • is.cadlag
  • is.col.argname
  • is.data
  • is.expandable
  • is.expandable.ppm
  • is.expandable.rmhmodel
  • is.fv
  • is.hole.xypolygon
  • is.hyperframe
  • is.infline
  • is.interact
  • is.marked.default
  • is.marked.psp
  • is.marked.quad
  • is.mppm
  • is.multitype.quad
  • is.multitype.default
  • is.parseable
  • is.poisson.mppm
  • is.pp3
  • is.ppx
  • is.prime
  • is.psp
  • is.sob
  • is.tess
  • k3engine
  • Kborder.engine
  • Knone.engine
  • Krect.engine
  • Kount
  • Kwtsum
  • Kpcf.kppm
  • killinteraction
  • km.rs.opt
  • kppmComLik
  • kppmMinCon
  • kppmPalmLik
  • labels.ppm
  • least.common.multiple
  • levels.im
  • levels<-.im
  • lhs.of.formula
  • linequad
  • linearKengine
  • linearKmulti
  • linearKmulti.inhom
  • linearKmultiEngine
  • linearpcfengine
  • linearpcfmulti
  • linearpcfmulti.inhom
  • linearPCFmultiEngine
  • listof
  • localKengine
  • localpcfengine
  • localpcfmatrix
  • local2lpp
  • logi.dummy
  • logi.engine
  • logLik.vblogit
  • lty2char
  • padtowidth
  • parameters.interact
  • parameters.fii
  • parbreak
  • passthrough
  • paste.expr
  • plan.legend.layout
  • PoisSaddleApp
  • polytileareaEngine
  • prettyinside
  • prettydiscrete
  • putSpatstatVariable
  • lookup.im
  • majorminorversion
  • make.even.breaks
  • makefvlabel
  • make.parseable
  • makeunits
  • mapstrings
  • markappend
  • markcbind
  • markformat
  • markformat.ppp
  • markformat.ppx
  • markformat.psp
  • markformat.default
  • mark.scale.default
  • markspace.integral
  • marks.default
  • marks.quad
  • %mapp%
  • markappendop
  • marksubset
  • markreplicateop
  • %mrep%
  • marksubsetop
  • %msub%
  • mask2df
  • matcolall
  • matcolany
  • matcolsum
  • matrixsample
  • matrowall
  • matrowany
  • matrowsum
  • maxflow
  • meanlistfv
  • meanX.owin
  • meanY.owin
  • model.se.image
  • mpl.engine
  • mpl.get.covariates
  • mpl.prepare
  • mpl.usable
  • MultiPair.checkmatrix
  • multiply.only.finite.entries
  • multiplicityNumeric
  • na.handle.im
  • names.hyperframe
  • names<-.fv
  • names<-.hyperframe
  • nearest.pixel
  • nearest.valid.pixel
  • newformula
  • newstyle.coeff.handling
  • niceround
  • nncleanEngine
  • nndcumfun
  • no.trend.ppm
  • nobjects
  • nobjects.ppp
  • nobjects.ppx
  • nobjects.psp
  • n.quad
  • numalign
  • numeric.columns
  • nzpaste
  • objsurfEngine
  • offsetsinformula
  • onecolumn
  • optimStatus
  • ordinal
  • %orifnull%
  • outdated.interact
  • overlap.trapezium
  • overlap.xypolygon
  • oversize.quad
  • owinpolycheck
  • owinpoly2mask
  • pairs.listof
  • pairs.solist
  • param.quad
  • paren
  • partialModelMatrix
  • pasteFormula
  • pcf3engine
  • pcfmulti.inhom
  • pickoption
  • plotEachLayer
  • ploterodewin
  • ploterodeimage
  • plot3Dpoints
  • plotPolygonBdry
  • plot.addvar
  • plot.barplotdata
  • plot.bw.frac
  • plot.bw.optim
  • plot.localpcfmatrix
  • plot.lurk
  • plot.minconfit
  • plot.parres
  • plot.plotpairsim
  • plot.pppmatching
  • plot.profilepl
  • plot.qqppm
  • plot.spatialcdf
  • plot.studpermutest
  • polynom
  • ppllengine
  • ppm.default
  • ppmCovariates
  • ppmDerivatives
  • ppmInfluence
  • pppdist.mat
  • pppdist.prohorov
  • ppsubset
  • prange
  • predict.vblogit
  • prefixfv
  • prepareTitle
  • primefactors
  • primesbelow
  • printStatus
  • print.addvar
  • print.anylist
  • print.autoexec
  • print.bt.frame
  • print.bw.frac
  • print.bw.optim
  • print.colourmap
  • print.diagppm
  • print.distfun
  • print.envelope
  • print.ewcdf
  • print.fasp
  • print.fv
  • print.fvfun
  • print.funxy
  • print.hierarchicalordering
  • print.hyperframe
  • print.influence.ppm
  • print.interact
  • print.intermaker
  • print.isf
  • print.layered
  • print.leverage.ppm
  • print.localpcfmatrix
  • print.lut
  • print.minconfit
  • print.mppm
  • print.msr
  • print.nnfun
  • print.onearrow
  • print.parres
  • print.plotpairsim
  • print.plotppm
  • print.pppmatching
  • print.profilepl
  • print.quadrattest
  • print.qqppm
  • print.rat
  • print.rmhcontrol
  • print.rmhexpand
  • print.rmhmodel
  • print.rmhstart
  • print.rmhInfoList
  • print.splitppp
  • print.simplepanel
  • print.Smoothfun
  • print.solist
  • print.splitppx
  • print.summary.hyperframe
  • print.summary.listof
  • print.summary.linnet
  • print.summary.logiquad
  • print.summary.lut
  • print.summary.mppm
  • print.summary.owin
  • print.summary.ppp
  • print.summary.psp
  • print.summary.rmhexpand
  • print.summary.solist
  • print.summary.splitppp
  • print.summary.splitppx
  • print.summary.units
  • print.symbolmap
  • print.textstring
  • print.texturemap
  • print.tess
  • print.timed
  • print.vblogit
  • print.yardstick
  • project3Dhom
  • prolongseq
  • putlastshift
  • quad
  • quad.mppm
  • RandomFieldsSafe
  • ratfv
  • recognise.spatstat.type
  • rectquadrat.breaks
  • rectquadrat.countEngine
  • reduceformula
  • repair.image.xycoords
  • resolveEinfo
  • resolve.vargamma.shape
  • rgbNA
  • rhs.of.formula
  • rhohatEngine
  • rhohatCalc
  • rigidradius
  • RmhExpandRule
  • rmhsnoop
  • romansort
  • roseContinuous
  • ruletextline
  • quadrat.testEngine
  • quadscheme.replicated
  • quadscheme.spatial
  • pointgrid
  • rastersample
  • rasterx.mask
  • rastery.mask
  • rasterxy.mask
  • rasterx.im
  • rastery.im
  • rasterxy.im
  • rebadge.fv
  • rebadge.as.crossfun
  • rebadge.as.dotfun
  • rebound
  • rebound.im
  • rebound.ppp
  • rebound.psp
  • rebound.owin
  • reconcile.fv
  • repair.old.factor.image
  • reincarnate.interact
  • resid4plot
  • resid1plot
  • resid1panel
  • resolve.defaults
  • resolve.1.default
  • resolve.2D.kernel
  • restrict.mask
  • reverse.xypolygon
  • reversePolyclipArgs
  • revcumsum
  • rmax.rule
  • rotxy
  • rotxypolygon
  • row.names.hyperframe
  • row.names<-.hyperframe
  • runifpoispp
  • runifpoisppOnLines
  • runifrect
  • rmhResolveControl
  • rmhResolveExpansion
  • rmhResolveTypes
  • rmhSnoopEnv
  • rmhcontrol.rmhcontrol
  • rmhcontrol.list
  • rmhEngine
  • rmhmodel.rmhmodel
  • rmhstart.rmhstart
  • rmhstart.list
  • rmpoint.I.allim
  • rpoint.multi
  • safedeldir
  • safelookup
  • samefunction
  • scalardilate.breakpts
  • scalardilate.diagramobj
  • scalardilate.msr
  • scanmeasure
  • scanmeasure.ppp
  • scanmeasure.im
  • scanBinomLRTS
  • scanPoisLRTS
  • second.moment.calc
  • second.moment.engine
  • sensiblevarname
  • sewpcf
  • sewsmod
  • shift.diagramobj
  • shift.influence.ppm
  • shift.leverage.ppm
  • shift.msr
  • shift.quadratcount
  • shift.quadrattest
  • shiftxy
  • shiftxypolygon
  • short.deparse
  • signalStatus
  • simplenumber
  • simplify.xypolygon
  • simulate.profilepl
  • simulrecipe
  • singlestring
  • slr.prepare
  • slrAssemblePixelData
  • Smooth.solist
  • smoothcrossEngine
  • smoothpointsEngine
  • sort.im
  • spatstat.rawdata.location
  • spatstatClusterModelInfo
  • spatstatLocator
  • spatstatRmhInfo
  • spatialCDFframe
  • spatialCDFtest
  • splitHybridInteraction
  • sp.foundclass
  • sp.foundclasses
  • sphere.volume
  • startinrange
  • store.versionstring.spatstat
  • str.hyperframe
  • strausscounts
  • strsplitretain
  • substringcount
  • suffloc
  • suffstat.generic
  • suffstat.poisson
  • summarise.trend
  • summary.envelope
  • summary.hyperframe
  • summary.logiquad
  • summary.lut
  • summary.mppm
  • summary.profilepl
  • summary.pppmatching
  • summary.ppx
  • summary.splitppx
  • summary.rmhexpand
  • summary.vblogit
  • sumsymouter
  • superimposeMarks
  • symbolmaptype
  • sympoly
  • tail.hyperframe
  • termsinformula
  • test.crossing.psp
  • test.selfcrossing.psp
  • there.is.no.try
  • tilecentroids
  • tileindex
  • transradius
  • trap.extra.arguments
  • trianglediameters
  • trim.mask
  • truncline
  • tweak.fv.entry
  • unitname.default
  • unitname<-.default
  • unparen
  • update.interact
  • update.im
  • update.ippm
  • update.rmhstart
  • uptrimat
  • validradius
  • validate.angles
  • validate.mask
  • validate.quad
  • validposint
  • vanilla.fv
  • variablesinformula
  • verbalogic
  • versionstring.interact
  • versionstring.ppm
  • versionstring.spatstat
  • verifyclass
  • verify.xypolygon
  • warn.ignored.args
  • warn.once
  • waxlyrical
  • weighted.var
  • windows.mppm
  • w.quad
  • x.quad
  • y.quad
  • xy.grid
  • X2testEngine
  • xtfrm.im
  • xypolygon2psp
  • xypolyselfint
Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.