spatstat (version 1.43-0)

spatstat-internal: Internal spatstat functions

Description

Internal spatstat functions.

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)
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)
checksolve(M, action, descrip, target)
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, vname)
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.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)
Deviant(x, alternative, scaling)
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)
dppmFixIntensity(DPP, lambda, po)
dppmFixAlgorithm(algorithm, changealgorithm, clusters, startpar)
dropifsingle(x)
dround(x)
emptywindow(w)
ensure2vector(x)
ensure3Darray(x)
envelopeEngine(X, fun, simul,
           nsim, nrank, ..., 
           verbose, clipdata, 
           transform, global, ginterval, use.theory,
           alternative, scale,
           savefuns, savepatterns, saveresultof,
           weights,
           nsim2, VARIANCE, nSD,
           Yname, maxnerr, internal, cl,
           envir.user, expected.arg, do.pwrong)
envelopeProgressData(X, fun, ..., exponent,
                     alternative, scale,
                     normalize, deflate,
                     save.envelope, savefuns, savepatterns)
envelopeTest(X, ..., exponent, alternative,
            rinterval, scale, tie.rule,
            interpolate, save.interpolant,
            save.envelope, savefuns, savepatterns,
            Xname, verbose)
## S3 method for class 'hasenvelope':
envelope(Y, \dots, Yname)
## S3 method for class 'matrix':
envelope(Y, \dots, rvals, observed, theory, funX,
  nsim, nsim2, jsim, jsim.mean,
  type, alternative, scale, 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)
hackglmmPQL(fixed, random, family, data, correlation, weights,
            control, niter, verbose, subset, ...)
hasenvelope(X, E)
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, alpha)
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)
insertinlist(x, i, y)
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, DPP, ...)
kppmMinCon(X, Xname, po, clusters, control, statistic, statargs,
           algorithm, DPP, ...)
kppmPalmLik(X, Xname, po, clusters, control, weightfun, rmax, 
           algorithm, DPP, ...)
kraever(package, fatal)
## 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, drop, \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)
match.kernel(kernel)
matcolall(x)
matcolany(x)
matcolsum(x)            
matrixsample(mat, newdim, phase, scale, na.value)
matrowall(x)
matrowany(x)
matrowsum(x)
maxflow(costm)
mctestSigtraceEngine(R, devdata, devsim, ...,
     interpolate, confint, alpha, exponent, unitname)
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)
nukernel(r, m, kernel)
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, emend, 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 'detpointprocfamily':
print(x, \dots)
## S3 method for class 'detpointprocfamilyfun':
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 'hasenvelope':
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)
reheat(model, invtemp)
relatively.prime(n, m)
repair.image.xycoords(x)
resolveEinfo(x, what, fallback, warn, atomic)
resolve.vargamma.shape(..., nu.ker, nu.pcf, default = FALSE)
rgbNA(red, green, blue, alpha, maxColorValue)
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, col.neg, col.smooth, ...)
resid1plot(RES, opt, plot.neg, plot.smooth,
              srange, monochrome, main,
              add, show.all, do.plot, col.neg, col.smooth, ...)
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,
                           overrideXstart, overrideclip) 
## 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)
spatstatDPPModelInfo(model)
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(...)
thinjump(n, p)
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)

Arguments

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.