spatstat-internal {spatstat}R Documentation

Internal spatstat functions

Description

Internal spatstat functions.

Usage

## S3 method for class 'hyperframe'
x[i, j, drop=FALSE, ...]
## S3 replacement method for class 'hyperframe'
x[i, j] <- value
## S3 method for class 'hyperframe'
x$name
## S3 replacement method for class 'hyperframe'
x$i <- value
acedist.show(X, Y, n, d, timelag = 0)
acedist.noshow(X, Y, n, d)
adjustthinrange(ur,vstep,vr)
affinexy(X, mat = diag(c(1, 1)), vec = c(0, 0), invert=FALSE)
affinexypolygon(p, mat, vec, detmat)
anycrossing.psp(A,B)
apply23sum(x)
area.xypolygon(polly)
areaGain.diri(u, X, r, ..., W=as.owin(X))
areaGain.grid(u, X, r, ..., W=NULL, ngrid=spatstat.options("ngrid.disc"))
areaLoss.diri(X, r, ..., W=as.owin(X), subset=NULL)
areaLoss.grid(X, r, ..., W=as.owin(X), subset=NULL, ngrid=spatstat.options("ngrid.disc"))
AsymmDistance.psp(X, Y, metric="Hausdorff", method="Fortran")
as.breakpts(...)
## S3 method for class 'fv'
as.data.frame(x, ...)
as.fv(x)
## S3 method for class 'hyperframe'
as.list(x, ...)
## S3 method for class 'scan.test'
as.im(X, ...)
## S3 method for class 'linim'
as.im(X, ...)
as.listof(x)
as.units(s)
badprobability(x, NAvalue)
beachcolours(heightrange, sealevel, monochrome, ncolours)
bermantestEngine(model, covariate, which, alternative, ..., modelname, covname, dataname)
bdrylength.xypolygon(polly)
bdry.mask(W)
blankcoefnames(x)
breakpts(val, maxi, even = FALSE, npos = NULL, step = NULL)
breakpts.from.r(r)
bt.frame(Q, trend=~1, interaction=NULL, ..., covariates=NULL,
         correction="border", rbord=0, use.gam=FALSE, allcovar=FALSE)
bw.optim(cv, h, iopt, ..., xlab, ylab)
cartesian(pp, markset, fac = TRUE)
cat.factor(..., recursive=FALSE)
cellmiddles(W, nx, ny, npix, gi)
censtimeCDFest(o, cc, d, breaks, ..., KM, RS, HAN, RAW, han.denom, pmax)
checkfields(X,L)          
check.finite(x, context, xname)
check.hist.lengths(hist,breaks)
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=TRUE, things="data points", naok=FALSE)
check.nmatrix(m, npoints, fatal=TRUE, things="data points", naok=FALSE, squarematrix=TRUE)
check.1.real(x, context, fatal)
check.testfun(f, f1, X)
clarkevansCalc(X, correction, clipregion, working)
clip.psp(x, window, check=TRUE)
cliprect.psp(x, window)
clippoly.psp(s, window)
closepairs(X,rmax,ordered)
## S3 method for class 'summary.ppm'
coef(object, ...)
## S3 method for class 'rat'
compatible(A, B, ...)
complaining(whinge, fatal, value)
compileK(D, r, weights, denom, check)
compilepcf(D, r, weights, denom, check, endcorrect, ...)
crosspairs(X,Y,rmax)
crosspaircounts(X,Y,r)
cobble.xy(x, y, f, fatal)
codetime(x)
commasep(x)
conform.imagelist(X, Zlist)
countingweights(id, areas, check = TRUE)
damaged.ppm(object)
default.clipwindow(object, epsilon)
default.n.tiling(X, nd, ntile, npix, verbose)
default.ntile(X)
densitypointsEngine(x, sigma, ...,
                    weights, edge, varcov,
                    leaveoneout, diggle, sorted)
diagnose.ppm.engine(object, ..., type="eem", typename, opt,
                         sigma=NULL, rbord = reach(object), compute.sd=TRUE,
                         compute.cts=TRUE, rv=NULL, oldstyle=FALSE)
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 'fasp'
dimnames(x)
## S3 replacement 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)
do.iplot(panel)
do.istat(panel)
edge.Ripley(X, r, W, method)
edge.Trans(X, Y, W, exact, paired, trim)
edge.Trans.modif(X, Y, WX, WY, exact, paired, trim)
emptywindow(w)
ensure2vector(x)
envelopeEngine(X, fun, simul,
           nsim=99, nrank=1, ..., 
           verbose=TRUE, clipdata=TRUE, 
           transform=NULL, global=FALSE, ginterval=NULL,
           savefuns=FALSE, savepatterns=FALSE, nsim2=nsim,
           VARIANCE=FALSE, nSD=2,
           Yname=NULL, maxnerr=nsim, internal=NULL, cl=NULL,
           envir.user=envir.user)
## S3 method for class 'matrix'
envelope(Y, ..., rvals, observed, theory, funX,
      nsim, nsim2, jsim, jsim.mean,
      type, csr, use.theory, nrank, ginterval, nSD,
      check, Yname)
equalpairs(U, X, marked=FALSE)
equalpairs.quad(Q)
equals.quad(Q)          
equalsfun.quad(Q)          
eratosthenes(nmax)
erodemask(w,r,strict)
erode.owin(...)
evalCovar(model, covariate, ...,
          dimyx, eps, jitter, modelname, covname, dataname)
evalCovariate(covariate, locations)
evalInteraction(X,P,E,interaction,correction,...,precomputed,savecomputed)
evalInterEngine(X,P,E,interaction,correction,...,precomputed,savecomputed)
even.breaks.owin(w)
evenly.spaced(x, tol)
exactdt(X, ...)              
exactPdt(w)
explain.ifnot(expr, context)
## S3 method for class 'slrm'
extractAIC(fit, scale = 0, k = 2, ...)
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)
findCovariate(covname, scope, scopename=NULL)
findcbind(root, depth, maxdepth)
findmarktype(x)
firstfactor(x)
fii(interaction, coefs, Vnames, IsOffset)
fillNA(x, value)
flipxypolygon(p)
forbidNA(x, context, xname)
FormatFaspFormulae(f, argname)
fvlabels(x, expand=FALSE)
fvlabels(x) <- value
fvlabelmap(x, dot=TRUE)
fvlegend(object, elang)
fvnames(X, a)
fvnames(X, a) <- value
g3engine(x, y, z, box, rmax, nrval, correction)
g3Cengine(x, y, z, box, rmax, nrval)
gpcmethod(fname, signature)
greatest.common.divisor(n,m)
getdataname(defaultvalue, ..., dataname)
getfields(X, L, fatal = TRUE)
getglmdata(object, drop=FALSE)
getglmfit(object)
getglmsubset(object)
geyercounts(U,X,r,sat,Xcounts,EqualPairs)
GLMpredict(fit, data, coefs, changecoef)
good.names(nama, defaults, suffices)
gridindex(x, y, xrange, yrange, nx, ny)            
grid1index(x, xrange, nx)
grow.rectangle(W, xmargin=0, ymargin=xmargin)
handle.r.b.args(r = NULL, breaks = NULL, window, eps = NULL, rmaxdefault)
handle.rshift.args(W, ..., radius, width, height, edge, clip, edgedefault)
ho.engine(model, ..., nsim, nrmh, start, control, verb)
hsvNA(h, s, v, ...)
identical.formulae(x,y)
idorempty(w, r, caller)
implemented.for.K(correction, windowtype, explicit)
inpoint(W)
inside.triangle(x, y, xx, yy)
inside.xypolygon(pts, polly, test01, method)
instantiate.interact(x, par)
intersect.ranges(a,b,fatal)
intX.owin(w)
intX.xypolygon(polly)
intY.owin(w)
intY.xypolygon(polly)
is.cadlag(s)
is.data(Q)
is.fv(x)
is.hole.xypolygon(polly)
is.hyperframe(x)
is.infline(x)
is.interact(x)
## Default S3 method:
is.marked(...)  
## S3 method for class 'psp'
is.marked(X, ...)
## S3 method for class 'quad'
is.marked(X, na.action="warn", ...)
is.mask(w)
## Default S3 method:
is.multitype(...)  
## S3 method for class 'quad'
is.multitype(X, na.action="warn", ...)
is.parseable(x)
is.pp3(x)
is.ppx(x)
is.prime(n)
is.psp(x)
is.slrm(x)
is.tess(x)
k3engine(x, y, z, box, rmax, nrval, correction)
Kborder.engine(X, rmax, nr, correction, weights, ratio)
Kount(dIJ, bI, b, breaks)
Kwtsum(dIJ, bI, wIJ, b, w, breaks)
Kmulti.inhom(X, I, J, lambdaI=NULL, lambdaJ=NULL, ...,
         r=NULL, breaks=NULL,
         correction = c("border", "isotropic", "Ripley", "translate") ,
         lambdaIJ=NULL, sigma=NULL, varcov=NULL, 
         Iname = "points satisfying condition I",
         Jname = "points satisfying condition J")
Kpcf.kppm(model, what)
killinteraction(model)
km.rs.opt(o, cc, d, breaks, KM, RS)
## S3 method for class 'ppm'
labels(object, ...)
least.common.multiple(n,m)
## S3 method for class 'im'
levels(x)
## S3 replacement method for class 'im'
levels(x) <- value
lhs.of.formula(x)
licence.polygons()
license.polygons()
linequad(X, Y, ..., eps, nd)
linearKengine(X, ..., r, reweight, denom, correction, showworking)
linearpcfengine(X, ..., r, reweight, denom, correction)
listof(...)
localKengine(X, ..., wantL, lambda, correction, verbose, rvalue)
localpcfengine(X, ..., delta, rmax, nr, stoyan, lambda)
localpcfmatrix(X, i, ..., lambda, delta, rmax, nr, stoyan)
paste.expr(x)
## S3 method for class 'localpcfmatrix'
print(x, ...)
## S3 method for class 'localpcfmatrix'
plot(x, ...)
## S3 method for class 'localpcfmatrix'
x[i, ...]
lookup.im(Z, x, y, naok, strict)
majorminorversion(v)
make.even.breaks(bmax, npos, bstep)
make.parseable(x)
makeunits(sing, plur, mul)
markappend(...)
markcbind(...)
markformat(x)
## S3 method for class 'ppp'
markformat(x)
## S3 method for class 'psp'
markformat(x)
## Default S3 method:
markformat(x)
mark.scale.default(marx, w, markscale=NULL, maxsize=NULL)
markspace.integral(X)
## Default S3 method:
marks(x, ...)
## S3 method for class 'quad'
marks(x, dfok=FALSE, ...)
markappendop(x, y)
marksubset(x, index, format)
marksubsetop(x, i)
markreplicateop(x, 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)
## S3 method for class 'slrm'
model.matrix(object, ..., keepNA = TRUE)
model.se.image(fit, W, ..., what)
mpl.engine(Q, trend, interaction, ..., covariates, covfunargs, correction,
	 rbord, use.gam, gcontrol, famille,
         forcefit, nd, allcovar, callstring,
         precomputed, savecomputed, preponly,
         rename.intercept)
mpl.get.covariates(covariates, locations, type, covfunargs)
mpl.prepare(Q, X, P, trend, interaction, covariates, 
            want.trend, want.inter, correction, rbord, Pname,
            callstring, ..., covfunargs, allcovar, precomputed, savecomputed,
            vnamebase, vnameprefix)
MultiPair.checkmatrix(mat, n, matname, naok, zerook)
multiply.only.finite.entries(x, a)
na.handle.im(X, na.replace)
## S3 method for class 'hyperframe'
names(x)
## S3 replacement method for class 'hyperframe'
names(x) <- value
nearest.pixel(x, y, im)
nearest.valid.pixel(x, y, im)
newstyle.coeff.handling(object)
nncleanEngine(kthNND, k, d, ..., tol, plothist, verbose, maxit)
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)
offsetsinformula(x)
onecolumn(m)
ordinal(k)
outdated.interact(object)
overlap.owin(A,B)
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(..., plot=TRUE)
param.quad(Q)
paren(x, type)
partialModelMatrix(X,D,model,callstring,...)
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)
ploterodewin(W1, W2, col.edge, col.inside, ...)
ploterodeimage(W, Z, ..., Wcol, rangeZ, colsZ)
## S3 method for class 'barplotdata'
plot(x, ...)
## S3 method for class 'bw.optim'
plot(x, ..., add)
## S3 method for class 'fii'
plot(x, ...)
## S3 method for class 'minconfit'
plot(x, ...)
## S3 method for class 'pppmatching'
plot(x, addmatch = NULL, main = NULL, ...)
## S3 method for class 'plotpairsim'
plot(x, ...)
## S3 method for class 'profilepl'
plot(x, ..., add=FALSE, main=NULL, tag=TRUE, coeff=NULL, xvariable=NULL)
## S3 method for class 'qqppm'
plot(x, ..., limits=TRUE, monochrome=FALSE,
           limcol=if(monochrome) "black" else "red")
## S3 method for class 'quadratcount'
plot(x, ..., add, entries, dx, dy, show.tiles)
## S3 method for class 'quadrattest'
plot(x, ...)
## S3 method for class 'scan.test'
plot(x, ..., do.window)
polynom(x, ...)
ppllengine(X, Y, action="project", check=FALSE)
ppmCovariates(model)
ppm.influence(fit,
   what = c("leverage","influence","dfbetas","derivatives"),
   ..., iScore = NULL, iHessian = NULL, iArgs=list(), drop = FALSE,
   method=c("C", "interpreted"))
pppdist.mat(X, Y, cutoff = 1, q = 1, matching = TRUE, precision = 9, approximation = 10)
pppdist.prohorov(X, Y, n, dfix, type, cutoff = 1, matching = TRUE, ccode = TRUE, precision = 9, approximation = 10) 
prange(x)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
primefactors(n, prmax)
## S3 method for class 'bt.frame'
print(x, ...)
## S3 method for class 'bw.optim'
print(x, ...)
## S3 method for class 'colourmap'
print(x, ...)
## S3 method for class 'diagppm'
print(x, ...)
## S3 method for class 'envelope'
print(x, ...)
## S3 method for class 'fasp'
print(x, ...)
## S3 method for class 'fii'
print(x, ...)
## S3 method for class 'fv'
print(x, ...)
## S3 method for class 'hyperframe'
print(x, ...)
## S3 method for class 'interact'
print(x, ..., family=TRUE, brief=FALSE)       
## S3 method for class 'isf'
print(x, ...)
## S3 method for class 'layered'
print(x, ...)
## S3 method for class 'linim'
print(x, ...)
## S3 method for class 'lut'
print(x, ...)
## S3 method for class 'minconfit'
print(x, ...)
## S3 method for class 'msr'
print(x, ...)
## S3 method for class 'plotppm'
print(x, ...)
## S3 method for class 'plotpairsim'
print(x, ...)
## S3 method for class 'pppmatching'
print(x, ...)
## S3 method for class 'profilepl'
print(x, ...)
## S3 method for class 'quadrattest'
print(x, ...)
## S3 method for class 'qqppm'
print(x, ...)
## S3 method for class 'rat'
print(x, ...)
## S3 method for class 'rmhcontrol'
print(x, ...)
## S3 method for class 'rmhmodel'
print(x, ...)
## S3 method for class 'rmhstart'
print(x, ...)
## S3 method for class 'rmhInfoList'
print(x, ...)
## S3 method for class 'splitppp'
print(x, ...)
## S3 method for class 'summary.fii'
print(x, ...)
## S3 method for class 'summary.hyperframe'
print(x, ...)
## S3 method for class 'summary.listof'
print(x, ...)
## S3 method for class 'summary.owin'
print(x, ...)
## S3 method for class 'summary.ppp'
print(x, ..., dp=3)
## S3 method for class 'summary.psp'
print(x, ...)
## S3 method for class 'summary.splitppp'
print(x, ...)
## S3 method for class 'summary.units'
print(x, ...)
## S3 method for class 'tess'
print(x, ..., brief=FALSE)
prolongseq(x, newrange)
quad(data, dummy, w, param)
rectquadrat.breaks(xr, yr, nx = 5, ny = nx, xbreaks = NULL, ybreaks = NULL)
rectquadrat.countEngine(x, y, xbreaks, ybreaks, weights)
rgbNA(red, green, blue, ...)
rhs.of.formula(x)
quadrat.testEngine(X, nx, ny, ..., Xcount, xbreaks, ybreaks, tess=NULL, fit=NULL, Xname=NULL, fitname=NULL)
quadscheme.replicated(data, dummy, method = "grid", ...)
quadscheme.spatial(data, dummy, method = "grid", ...)
pointgrid(W, ngrid)
rastersample(X, Y)
rasterx.im(x)
rastery.im(x)
## S3 method for class 'fii'
reach(x, ..., epsilon)
rebadge.fv(x, new.ylab, new.fname, tags, new.desc, new.labl, new.yexp,
new.dotnames, new.preferred, new.formula, new.tags)
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="image", plot.smooth="imagecontour",
           spacing=0.1, srange=NULL,monochrome=FALSE, main=NULL, ...)
resid1plot(RES, opt, plot.neg="image", plot.smooth="imagecontour",
              srange=NULL, monochrome=FALSE, main=NULL, ...)
resid1panel(observedX, observedV,
            theoreticalX, theoreticalV, theoreticalSD, xlab,ylab, ...)
resolve.defaults(..., .StripNull=FALSE)
resolve.2D.kernel(..., sigma, varcov, x, mindist, adjust, bwfun)
restrict.mask(M, W)
reverse.xypolygon(p, adjust=FALSE)
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)
## S3 method for class 'rmhcontrol'
rmhcontrol(...)
## S3 method for class 'list'
rmhcontrol(...)
rmhEngine(InfoList, ..., verbose, track, kitchensink, preponly) 
## S3 method for class 'rmhmodel'
rmhmodel(model, ...)
## S3 method for class 'rmhstart'
rmhstart(start, ...)
## S3 method for class 'list'
rmhstart(start, ...)
rmpoint.I.allim(n, f, types)
## S3 method for class 'hyperframe'
row.names(x)
## S3 replacement method for class 'hyperframe'
row.names(x) <- value
rpoint.multi(n, f, fmax=NULL, marks = NULL, win = unit.square(), giveup = 1000, verbose = FALSE)
runifpoispp(lambda, win = owin(c(0, 1), c(0, 1)))
runifpoisppOnLines(lambda, L)
runifrect(n, win = owin(c(0, 1), c(0, 1)))
safelookup(Z, X, factor, warn)
samefunction(f, g)
scanmeasure(X, ...)
## S3 method for class 'ppp'
scanmeasure(X, r, ...)
## S3 method for class 'im'
scanmeasure(X, r, ...)
scanPoisLRTS(nZ, nG, muZ, muG, alternative)
scanBinomLRTS(nZ, nG, muZ, muG, alternative)
scanLRTS(X, r, ..., method, baseline, case, alternative)
second.moment.calc(x, sigma=NULL, edge=TRUE, what="Kmeasure", debug=FALSE,
..., varcov=NULL, expand=FALSE)
second.moment.engine(x, sigma=NULL, edge=TRUE, what="Kmeasure", debug=FALSE,
..., obswin=as.owin(x), varcov=NULL, npts=NULL)
sensiblevarname(guess, fallback, maxlen)
sewpcf(d, w, denargs, lambda2area)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
shiftxy(X, vec = c(0, 0))
shiftxypolygon(p, vec = c(0, 0))
simplify.xypolygon(p, dmin)
simulrecipe(type, expr, envir, csr, pois)
singlestring(s, coll)
slr.prepare(CallInfo, envir, data, dataAtPoints, splitby, clip)
slrAssemblePixelData(Y, Yname, W, covimages, dataAtPoints, pixelarea)
smoothpointsEngine(x, values, sigma, ...,
                    weights, varcov, leaveoneout, sorted)
## S3 method for class 'im'
sort(x, ...)
spatstat.rawdata.location(...)
spatialCDFframe(model, covariate, ...)
spatialCDFtest(model, covariate, test, ..., dimyx, eps, jitter, modelname, covname, dataname)
sphere.volume(range, nval = 10)
sp.foundclass(cname, inlist, formalname, argsgiven)             
sp.foundclasses(cnames, inlist, formalname, argsgiven)
stratrand(window, nx, ny, k = 1)
strausscounts(U,X,r,EqualPairs)
suffloc(object)
suffstat.generic(model, X, callstring)
suffstat.poisson(model, X, callstring)
## S3 method for class 'envelope'
summary(object,...)
## S3 method for class 'fii'
summary(object,...)
## S3 method for class 'hyperframe'
summary(object, ..., brief=FALSE)
## S3 method for class 'profilepl'
summary(object, ...)
## S3 method for class 'pppmatching'
summary(object, ...)
## S3 method for class 'ppx'
summary(object, ...)
superimposeMarks(arglist, nobj)
sympoly(x, y, n)
termsinformula(x)
test.crossing.psp(A,B)
test.selfcrossing.psp(A)
tilecentroids(W, nx, ny)
tilenames(x)
trianglediameters(iedge, jedge, edgelength, ..., nvert, check)
trim.mask(M, R, tolerant)
tweak.fv.entry(x, current.tag, new.labl=NULL, new.desc=NULL, new.tag=NULL)
## Default S3 method:
unitname(x)
## Default S3 replacement method:
unitname(x) <- value
## S3 method for class 'interact'
update(object, ...)
## S3 method for class 'slrm'
update(object, ..., evaluate = TRUE, env = parent.frame())
validradius(r, caller)
validate.mask(w, fatal=TRUE)        
validate.quad(Q, fatal, repair, announce)
validposint(n, caller, fatal)
vanilla.fv(x)
variablesinformula(x)
## S3 method for class 'slrm'
vcov(object, ...)
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)
## S3 method for class 'msr'
with(data, expr, ...)
w.quad(Q)               
x.quad(Q)
y.quad(Q)
## S3 method for class 'im'
xtfrm(x)
xypolyselfint(p, eps, proper, yesorno, checkinternal)
xypolygon2psp(p, w, check)

Details

These are usually not to be called by the user.


[Package spatstat version 1.25-3 Index]