spatstat (version 1.22-1)

spatstat-internal: Internal spatstat functions

Description

Internal spatstat functions.

Usage

## S3 method for class 'hyperframe':
[(x, i, j, drop=FALSE, ...)
## S3 method for class 'hyperframe':
[(x, i, j) <- value
## S3 method for class 'hyperframe':
$(x, name)
## S3 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))
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, ...)
as.listof(x)
as.units(s)
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)
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)
complaining(whinge, fatal, value)
crosspairs(X,Y,rmax)
crosspaircounts(X,Y,r)
crossfikselterms(X,Y,r,kappa)
cobble.xy(x, y, f, fatal)
commasep(x)
compatible.units(x, y, coerce=TRUE)
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)
diagnose.ppm.engine(object, ..., type="eem", typename, opt,
                         sigma=NULL, rbord = reach(object), compute.sd=TRUE,
                         compute.cts=TRUE, rv=NULL, oldstyle=FALSE)
dgsTerms(X, Y, idX, idY, rho)
diggraterms(X, Y, idX, idY, delta, rho)
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 method for class 'fasp':
dimnames(x) <- value
## S3 method for class 'msr':
dimnames(x)
distpl(p, l)               
distppl(p, l)
distppll(p, l, mintype=0, method="Fortran", listit=FALSE)
distppllmin(p, l)
dist2dpath(dist, method="C")
divisors(n)
do.as.im(x, action, ..., W, eps, dimyx, xy, na.replace)
do.call.matched(fname, arglist, funargs, extrargs)
do.iplot(panel)
do.istat(panel)
edge.Ripley(X, r, W, method)
edge.Trans(X, Y, W, 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)
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, jitter, modelname, covname, dataname)
evalCovariate(covariate, locations)
evalInteraction(Q,X,P,interaction,correction,...,precomputed,savecomputed)
evalInterEngine(Q,X,P,interaction,correction,...,precomputed,savecomputed)
evalInterNew(X,U,E,interaction,...)
even.breaks.owin(w)
evenly.spaced(x, tol)
exactdt(X, ...)              
exactPdt(w)
explain.ifnot(expr, context)
## S3 method for class 'ppm':
extractAIC(fit, scale, k, \dots)
## 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)
findmarktype(x)
firstfactor(x)
fii(interaction, coefs, Vnames, IsOffset)
fikselterms(U,X,r,kappa,EqualPairs)
fillNA(x, value)
forbidNA(x, context, xname)
FormatFaspFormulae(f, argname)
## S3 method for class 'ppm':
formula(x, \dots)
## S3 method for class 'kppm':
formula(x, \dots)
## S3 method for class 'slrm':
formula(x, ...)
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)
greatest.common.divisor(n,m)
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)
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)
identical.formulae(x,y)
idorempty(w, r, caller)
implemented.for.K(correction, windowtype, explicit)
inpoint(W)
inside.xypolygon(pts, polly, test01 = TRUE, method="Fortran")
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)
## 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)
## S3 method for class 'default':
is.multitype(\dots)  
## S3 method for class 'quad':
is.multitype(X, na.action="warn", \dots)
is.poisson.interact(x)
is.poisson.ppm(x)
is.poisson.rmhmodel(x)
is.pp3(x)
is.ppx(x)
is.prime(n)
is.psp(x)
is.slrm(x)
is.stationary.ppm(x)    
is.tess(x)
k3engine(x, y, z, box, rmax, nrval, correction)
Kborder.engine(X, rmax, nr, correction, weights)
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")
killinteraction(model)
km.rs.opt(o, cc, d, breaks, KM, RS)
least.common.multiple(n,m)
## S3 method for class 'im':
levels(x)
## S3 method for class 'im':
levels(x) <- value
licence.polygons()
license.polygons()
listof(...)
localpcfmatrix(X, i, ..., delta, rmax, nr, stoyan)
## S3 method for class 'localpcfmatrix':
print(x, \dots)
## S3 method for class 'localpcfmatrix':
plot(x, \dots)
## S3 method for class 'localpcfmatrix':
[(x, i, ...)
lookup.im(Z, x, y, naok, strict)
majorminorversion(v)
make.even.breaks(bmax, npos, bstep)
makeunits(sing, plur, mul)
markappend(...)
markcbind(...)
markformat(x)
## S3 method for class 'ppp':
markformat(x)
## S3 method for class 'psp':
markformat(x)
## S3 method for class 'default':
markformat(x)
mark.scale.default(marx, w, markscale=NULL, maxsize=NULL)
markspace.integral(X)
## S3 method for class 'default':
marks(x, \dots)
## S3 method for class 'quad':
marks(x, dfok=FALSE, \dots)
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)
matrowall(x)
matrowany(x)
matrowsum(x)
maxflow(costm)
meanlistfv(z)
meanX.owin(w)            
meanY.owin(w)
sensiblevarname(guess, fallback, maxlen)
sewpcf(d, w, denargs, lambda2area)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
slr.prepare(CallInfo, envir, data, dataAtPoints, splitby)
slrAssemblePixelData(Y, Yname, W, covimages, dataAtPoints, pixelarea)
## 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, allcovar, callstring, precomputed, savecomputed, preponly)
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 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)
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)
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(\dots, 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, \dots)
## S3 method for class 'bw.relrisk':
plot(x, \dots)
## S3 method for class 'fii':
plot(x, \dots)
## S3 method for class 'minconfit':
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=FALSE, main=NULL, tag=TRUE, coeff=NULL, xvariable=NULL)
## S3 method for class 'qqppm':
plot(x, \dots, limits=TRUE, monochrome=FALSE,
           limcol=if(monochrome) "black" else "red")
## S3 method for class 'quadratcount':
plot(x, \dots, add, entries, dx, dy, show.tiles)
## S3 method for class 'quadrattest':
plot(x, \dots)
## S3 method for class 'rhohat':
plot(x, \dots, do.rug=TRUE)
polynom(x, ...)
ppllengine(X, Y, action="project", check=FALSE)
ppmCovariates(model)
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, prefix, prephrase)
primefactors(n, prmax)
## S3 method for class 'bt.frame':
print(x, \dots)
## S3 method for class 'bw.relrisk':
print(x, \dots)
## S3 method for class 'colourmap':
print(x, \dots)
## S3 method for class 'diagppm':
print(x, \dots)
## S3 method for class 'envelope':
print(x, \dots)
## S3 method for class 'fasp':
print(x, \dots)
## S3 method for class 'fii':
print(x, \dots)
## S3 method for class 'fv':
print(x, \dots)
## S3 method for class 'hyperframe':
print(x, ...)
## S3 method for class 'interact':
print(x, \dots, family=TRUE, brief=FALSE)       
## S3 method for class 'isf':
print(x, \dots)
## S3 method for class 'kppm':
print(x, \dots)
## S3 method for class 'lut':
print(x, \dots)
## S3 method for class 'minconfit':
print(x, \dots)
## S3 method for class 'msr':
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 'rhohat':
print(x, \dots)
## S3 method for class 'rmhcontrol':
print(x, \dots)
## S3 method for class 'rmhmodel':
print(x, \dots)
## S3 method for class 'rmhstart':
print(x, \dots)
## S3 method for class 'slrm':
print(x, ...)
## S3 method for class 'splitppp':
print(x, \dots)
## S3 method for class 'summary.fii':
print(x, \dots)
## S3 method for class 'summary.hyperframe':
print(x, ...)
## S3 method for class 'summary.listof':
print(x, \dots)
## S3 method for class 'summary.owin':
print(x, \dots)
## S3 method for class 'summary.ppp':
print(x, \dots, dp=3)
## S3 method for class 'summary.psp':
print(x, \dots)
## S3 method for class 'summary.splitppp':
print(x, \dots)
## S3 method for class 'summary.units':
print(x, \dots)
## S3 method for class 'tess':
print(x, \dots, brief=FALSE)
## S3 method for class 'units':
print(x, \dots)
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)
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)
rasterx.im(x)
rastery.im(x)
## S3 method for class 'fii':
reach(x, \dots, epsilon)
rebadge.fv(x, new.ylab, new.fname, tags, new.desc, new.labl, new.yexp,
new.dotnames, new.preferred, new.formula)
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)
## S3 method for class 'units':
rescale(X,s)
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)
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)
rmhResolveExpansion(win, control, imagelist, itype)
rmhResolveTypes(model, start, control)
## S3 method for class 'rmhcontrol':
rmhcontrol(\dots)
## S3 method for class 'list':
rmhcontrol(\dots)
rmhEngine(InfoList, ..., verbose, kitchensink, preponly) 
## 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=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)
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)
shiftxy(X, vec = c(0, 0))
shiftxypolygon(p, vec = c(0, 0))
simplify.xypolygon(p, dmin)
simulrecipe(type, expr, envir, csr)
singlestring(s, coll)
smoothpointsEngine(x, values, sigma, ..., weights, varcov, leaveoneout)
## S3 method for class 'im':
sort(x, \dots)
spatstat.rawdata.location(...)
spatialCDFframe(model, covariate, ...)
spatialCDFtest(model, covariate, test, ..., 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,\dots)
## S3 method for class 'fii':
summary(object,\dots)
## S3 method for class 'hyperframe':
summary(object, ..., 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 'units':
summary(object, \dots)
superimposeMarks(arglist, nobj)
sympoly(x, y, n)
## S3 method for class 'ppm':
terms(x, \dots)
## S3 method for class 'kppm':
terms(x, \dots)
## S3 method for class 'slrm':
terms(x, ...)
termsinformula(x)
test.crossing.psp(A,B)
test.selfcrossing.psp(A)
tilecentroids(W, nx, ny)
tilenames(x)
trim.mask(M, R, tolerant)
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
## S3 method for class 'interact':
update(object, \dots)
## S3 method for class 'slrm':
update(object, ..., evaluate = TRUE, env = parent.frame())
validradius(r, caller)
valid.ppm(object, na.value)
validate.mask(w, fatal=TRUE)        
validate.quad(Q, fatal, repair, announce)
validposint(n, caller, fatal)
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, \dots)
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)

Arguments

Details

These are usually not to be called by the user.