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)
AsymmDistance.psp(X, Y, metric="Hausdorff", method="Fortran")
as.breakpts(...)
## S3 method for class 'hyperframe':
as.data.frame(x, row.names = NULL,
optional = FALSE, ...,
discard=TRUE, warn=TRUE)
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)
bind.fv(x, y, labl, desc, preferred)
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)
cbind.hyperframe(...)
cellmiddles(W, nx, ny, npix, gi)
checkfields(X,L)
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)
check.nmatrix(m, npoints, fatal=TRUE)
check.testfun(f, f1, X)
clip.psp(x, window, check=TRUE)
cliprect.psp(x, window)
clippoly.psp(s, window)
closepairs(X,rmax)
crosspairs(X,Y,rmax)
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.expand(object, m, epsilon)
default.clipwindow(object, epsilon)
default.n.tiling(X, nd, ntile, npix, verbose)
default.ntile(X)
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 'fasp':
dimnames(x)
## S3 method for class 'fasp':
dimnames(x) <- value
distpl(p, l)
distppl(p, l)
distppll(p, l, mintype=0, method="Fortran", listit=FALSE)
distppllmin(p, l)
divisors(n)
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)
equals.quad(Q)
equalsfun.quad(Q)
eratosthenes(nmax)
erodemask(w,r,strict)
erode.owin(...)
even.breaks.owin(w)
evenly.spaced(x, tol)
exactdt(X, ...)
exactPdt(w)
## S3 method for class 'ppm':
extractAIC(fit, scale, k, \dots)
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)
findmarktype(x)
fii(interaction, coefs, Vnames)
fillNA(x, value)
FormatFaspFormulae(f, argname)
## S3 method for class 'ppm':
formula(x, \dots)
## S3 method for class 'kppm':
formula(x, \dots)
fv(x, argu, ylab, valu, fmla, alim, labl, desc, unitname, fname, yexp)
fvnames(X, a)
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)
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.prime(n)
is.psp(x)
is.stationary.ppm(x)
is.tess(x)
k3engine(x, y, z, box, rmax, nrval, correction)
kstestEngine(model, covariate, ..., jitter, modelname, covname, dataname)
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)
least.common.multiple(n,m)
## S3 method for class 'im':
levels(x) <- value
listof(...)
lookup.im(Z, x, y, naok, strict)
majorminorversion(v)
make.even.breaks(bmax, npos, bstep)
makeunits(sing, plur, mul)
markformat(x)
## S3 method for class 'ppp':
markformat(x)
## S3 method for class 'psp':
markformat(x)
mark.scale.default(marx, w, markscale=NULL, maxsize=NULL)
markspace.integral(X)
marks(x, ...)
## S3 method for class 'ppp':
marks(x, \dots, dfok)
## S3 method for class 'psp':
marks(x, \dots, dfok)
## S3 method for class 'quad':
marks(x, dfok=FALSE, \dots)
marks(x, ...) <- value
## S3 method for class 'ppp':
marks(x, dfok, \dots) <- value
## S3 method for class 'psp':
marks(x, \dots) <- value
markappendop(x, y)
marksubset(x, index, format)
marksubsetop(x, i)
markreplicateop(x, n)
matcolall(x)
matcolany(x)
matcolsum(x)
matrixsample(mat, newdim, phase)
matrowall(x)
matrowany(x)
matrowsum(x)
maxflow(costm)
meanX.owin(w)
meanY.owin(w)
sewpcf(d, w, denargs, lambda2area)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
model.se.image(fit, W, ..., what)
mpl.engine(Q, trend, interaction, ..., covariates, correction,
rbord, use.gam, gcontrol, famille,
forcefit, allcovar, callstring, precomputed, savecomputed, preponly)
mpl.get.covariates(covariates, locations, type)
mpl.prepare(Q, X, P, trend, interaction, covariates,
want.trend, want.inter, correction, rbord, Pname,
callstring, ..., allcovar, precomputed, savecomputed,
vnamebase, vnameprefix)
MultiPair.checkmatrix(mat, n, matname, naok, zerook)
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)no.trend.ppm(x)
n.quad(Q)
numalign(i, nmax, zero)
ordinal(k)
outdated.interact(object)
overlap.owin(A,B)
overlap.trapezium(xa, ya, xb, yb, verb = FALSE)
overlap.xypolygon(P, Q)
owinpolycheck(W, verbose=TRUE)
owinpoly2mask(w, rasta, check=TRUE)
param.quad(Q)
paren(x)
partialModelMatrix(X,D,model,callstring,...)
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 'distfun':
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 '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)
## S3 method for class 'quadrattest':
plot(x, \dots)
polynom(x, ...)
ppllengine(X, Y, action="project", check=FALSE)
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)
primefactors(n, prmax)
## S3 method for class 'bt.frame':
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 '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 'plotppm':
print(x, \dots)
## S3 method for class 'pppmatching':
print(x, \dots)
## S3 method for class 'profilepl':
print(x, \dots)
## S3 method for class 'qqppm':
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 '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)
## 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)
quadrat.testEngine(X, nx, ny, ..., 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.im(x, rect)
rebound.ppp(x, ...)
rebound.psp(x, ...)
rebound.owin(w, rect)
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)
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)
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, npoints=NULL)
shiftxy(X, vec = c(0, 0))
shiftxypolygon(p, vec = c(0, 0))
simplify.xypolygon(p, dmin)
spatstat.rawdata.location(...)
sphere.volume(range, nval = 10)
sp.foundclass(cname, inlist, formalname, argsgiven)
sp.foundclasses(cnames, inlist, formalname, argsgiven)
stratrand(window, nx, ny, k = 1)
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 'units':
summary(object, \dots)
sympoly(x, y, n)
## S3 method for class 'ppm':
terms(x, \dots)
## S3 method for class 'kppm':
terms(x, \dots)
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)
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)
versionstring.interact(object)
versionstring.ppm(object)
versionstring.spatstat()
verifyclass(X, C, N = deparse(substitute(X)), fatal = TRUE)
verify.xypolygon(p, fatal=TRUE)
w.quad(Q)
x.quad(Q)
y.quad(Q)
xypolyselfint(p, eps, proper, yesorno, checkinternal)
xypolygon2psp(p, w)