spatstat-internal {spatstat} | R Documentation |
Internal spatstat functions.
affinexy(X, mat = diag(c(1, 1)), vec = c(0, 0)) apply23sum(x) area.xypolygon(polly) as.breakpts(...) as.fv(x) as.polygonal(W) bind.fv(x, y, labl, desc, preferred) bdrylength.xypolygon(polly) breakpts(val, maxi, even = FALSE, npos = NULL, step = NULL) breakpts.from.r(r) cartesian(pp, markset, fac = TRUE) checkfields(X,L) check.hist.lengths(hist,breaks) cobble.xy(x, y, f, fatal) conspire(...) contour.im(x, ...) countingweights(id, areas, check = TRUE) default.ngrid(X) default.ntile(X) densityhack(x, bw, adjust, kernel, window, width, give.Rkern, n, from, to, cut, na.rm, weights) discretise(x, xrange, nx) distpl(p, l) distppl(p, l) distppll(p, l) edge.Ripley(X, r, W) edge.Trans(X, Y, W, exact, trim) equals.quad(Q) erode.mask(w,r) even.breaks.owin(w) exactdt(X, ...) exactPdt(im) fasp(fns, titles, formulae, which, dataname, title) FormatFaspFormulae(f, argname) fv(x, argu, ylab, valu, fmla, alim, labl, desc) getfields(X, L, fatal = TRUE) getglmfit(object) gridindex(x, y, xrange, yrange, nx, ny) handle.r.b.args(r = NULL, breaks = NULL, window, eps = NULL) identical.formulae(x,y) inside.xypolygon(pts, polly, test01 = TRUE) intX.owin(w) intX.xypolygon(polly) intY.owin(w) intY.xypolygon(polly) is.cadlag(s) is.data(Q) is.fv(x) is.marked(X, ...) is.marked.default(...) is.marked.ppp(X, na.action="warn", ...) is.poisson.ppm(x) is.stationary.ppm(x) km.rs(o, cc, d, breaks) Kount(d, b, breaks, slow = FALSE) Kwtsum(d, b, weight, breaks, slow) lookup.im(im, x, y, naok) make.even.breaks(bmax, npos, bstep) markspace.integral(X) marks.quad(Q) matcolall(x) matcolany(x) matcolsum(x) matrowall(x) matrowany(x) matrowsum(x) meanX.owin(w) meanY.owin(w) mkcor(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500) mpl.engine(Q, trend, interaction, covariates, correction, rbord, use.gam, forcefit) mpl.get.covariates(covariates, locations, type) mpl.prepare(Q, X, P, trend, interaction, covariates, want.trend, want.inter, correction, rbord, ...) MultiPair.checkmatrix(mat, n, name) multipair.family nearest.pixel(x, y, im) no.trend.ppm(x) n.quad(Q) overlap.owin(A,B) overlap.trapezium(xa, ya, xb, yb, verb = FALSE) overlap.xypolygon(P, Q) param.quad(Q) persp.im(x, ...) pixellate(x, ..., weights) polynom(x, ...) print.fasp(x, ...) print.fv(x, ...) print.interact(x, ...) print.isf(x, ...) print.rmhcontrol(x, ...) print.rmhmodel(x, ...) print.rmhstart(x, ...) print.rmhseed(x, ...) print.summary.owin(x, ...) print.summary.ppp(x, ..., dp=3) quad(data, dummy, w, param) quadscheme.replicated(data, dummy, method = "grid", ...) quadscheme.spatial(data, dummy, method = "grid", ...) rasterx.im(x) rastery.im(x) resolve.defaults(...) reverse.xypolygon(p) rotxy(X, angle = pi/2) rmhResolveTypes(model, start, control) rmhcontrol.rmhcontrol(control, ...) rmhcontrol.list(control, ...) rmhmodel.rmhmodel(model, ...) rmhmodel.list(model, ...) rmhseed(iseed) rmhstart.rmhstart(start, ...) rmhstart.list(start, ...) rmhmodel.ppm(model, win, ..., verbose, project, control) rmpoint.I.allim(n, f, types) rpoint.multi(n, f, fmax=NULL, marks = NULL, win = unit.square(), giveup = 1000, verbose = FALSE) runifdisc(n, r = 1, x = 0, y = 0) runifpoispp(lambda, win = owin(c(0, 1), c(0, 1))) runifrect(n, win = owin(c(0, 1), c(0, 1))) second.moment.calc(x, sigma, edge=TRUE, what="Kmeasure", debug=FALSE, ...) shiftxy(X, vec = c(0, 0)) spatstat.rawdata.location(...) sympoly(x, y, n) termsinformula(x) tilecentroids(W, nx, ny) tilemiddles(W, nx, ny) try.FGJKest(niter = 20, lambda = 25, r = seq(0, sqrt(2), 0.02), eps = 0.01, slow = FALSE) try.Kcross(niter = 20, lambda1 = 25, lambda2 = 25, r = seq(0, 1, 0.02), R = 0.2) update.interact(object, ...) validate.mask(w, fatal=TRUE) verifyclass(X, C, N = deparse(substitute(X)), fatal = TRUE) verify.xypolygon(p, fatal=TRUE) whist(x,breaks,weights) w.quad(Q) x.quad(Q) y.quad(Q)
These are usually not to be called by the user.