fields internal            package:fields            R Documentation

_F_i_e_l_d_s _i_n_t_e_r_n_a_l _a_n_d _s_e_c_o_n_d_a_r_y _f_u_n_c_t_i_o_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     Listed below are supporting fucntions for the major methods in
     fields.

_U_s_a_g_e:

     COR (dat) 

     D4transform.image (x, inv = F, transpose = F, cut.min = 8) 

     FIELDS.version  

     Krig.coef (out, u = NULL, lambda = NULL, yM = NULL) 
     Krig.df.to.lambda (df, D, guess = 1, tol = 1e-05) 
     Krig.discretize (x, m = 64, n = 64, xg = NULL, yg = NULL, grid 
         = NULL,  expand = c(1, 1)) 
     Krig.fdf (llam, info) 
     Krig.fgcv (lam, obj) 
     Krig.fgcv.model (lam, obj) 
     Krig.fgcv.one (lam, obj) 
     Krig.find.gcvmin (info, lambda.grid, gcv, gcv.fun, tol, verbose = F) 
     Krig.fs2hat (lam, obj) 
     Krig.ftrace (lam, D) 
     Krig.newy (out, newy, verbose = F) 
     Krig.replicates (out, verbose = F) 
     Krig.updateY (out, Y, verbose = F) 
     Krig.ynew (out, ynew, verbose = F) 

     US (xlim = c(-124.7, -67.1), ylim = c(25.2, 49.4), add = F, ...) 

     W.image.cov (ind1, ind2, Y, cov.obj = NULL, setup = F, m = 64, 
              n = 64, ...) 

     WD4 (x) 
     WD42d (x) 
     WD42di (x) 
     WD4i (x) 

     WQS (x) 
     WQS.T (x) 
     WQS.basis (N, cut.n = 8) 
     WQS2d (x, transpose = F) 
     WQS2di (x, transpose = F) 
     WQSdi (x, transpose = F) 
     WQSi (x) 
     WQSi.T (x) 
     Wtransform.D (nx, ny, weights = c(1), cut.min = 8, details = F) 

     bisection.search (x1, x2, f, tol = 1e-07, niter = 25, f.extra = 
             NA, upcross.level = 0) 

     bplot.obj (data, pos = NA, width = NULL, labels = NULL, srt = 
                 ,add = F, space = 0.25, sort.names = F, xlab = "", ylab = "", 
                   label.cex = 1, xaxt = "n", outlier = T, horizontal = F, ...) 

     cat.matrix (mat, digits = 8) 

     cat.to.list (x, a) 

     ceiling2 (m) 

     conjugate.gradient (b, multAx, start = NULL, tol = 1e-05, kmax = 
                  25, verbose = T,    ...) 

     cover.design.S (R, nd, nruns = 1, nn = T, num.nn = 100, fixed = 
               ,scale.type = "range", R.center, R.scale, P = -20, Q = 20, 
               start = NULL, DIST = NULL, return.grid = T, return.transform = T) 

     describe (x) 
     describe.bplot (temp, style = "tukey", outlier = T) 

     draw.bplot (temp, width, xpos, outlier = T, style = "tukey") 
     draw.bplot.obj (obj, width, xpos, outlier = T, horizontal = F) 

     dup (dat) 

     dup.matrix (mat) 

     dyn.load.fields (...) 

     exp.cov.F (x1, x2, theta = rep(1, ncol(x1)), p = 1, C = NA) 
     exp.cov.S (x1, x2, theta = 1) 
     exp.earth.cov (x1, x2, theta = 1) 

     fast.1way (lev, y, w = rep(1, length(y))) 

     find.upcross (fun, fun.info, upcross.level = 0, guess = 1, tol = 
     1e-05) 

     gauss.cov (...) 

     gcv.Krig (out, lambda.grid = NA, cost = 1, nstep.cv = 80, rmse = 
          NA,verbose = F, tol = 1e-05, offset = 0, y = NULL, lambda = NA) 

     gcv.sreg (out, lambda.grid = NA, cost = 1, nstep.cv = 20, rmse = 
          NA, offset = 0, trmin = NA, trmax = NA, verbose = T, tol = 1e-05, 
          find.min = T, method = "GCV") 

     golden.section.search (ax, bx, cx, f, niter = 25, f.extra = NA, 
          tol = 1e-05) 

     grey.level (n) 

     image.plot.info (...) 
     image.plot.plt ( add=F,  legend.shrink = 0.9, legend.width = 0.04, 
     horizontal = F, offset = 2 * legend.width, bigplot = NULL, smallplot = NULL)

     image.smooth.setup (nrow = 64, ncol = 64, dx = 1, dy = 1, 
          kernel.function = function(x) {    exp(-abs(x))}, 
          theta = 1, Mwidth = nrow, Nwidth = ncol, ...) 

     in.poly (xd, xp, convex.hull = F) 

     krig.image.parameters (out) 

     lonlat2xy (lnlt, miles = F) 

     make.Amatrix.Krig (out, x0 = out$x, lambda) 
     make.surface.grid (grid.list, X, nx = 30, ny = 30, 
           info.list = F, FUN = median) 
     make.tmatrix (x, m = 2) 
     make.tmatrix.F (x, m = 2) 
     make.tmatrix.S (x, m = 2) 

     matern (x = seq(0, 4 * range, len = 100), scale = 1, range = 1, 
         smoothness = 0.5) 

     minimax.crit (obj, des = T, R) 

     nkden (data, bandwidth, n.points, grid) 

     periodic.cov.1d (x1, x2, a, b) 
     periodic.cov.cyl (x1, x2, a = 0, b = 365, theta = 1) 
     periodic.plane.3d (x1, x2, a = 0, b = 365, theta = 1) 

     plot.coef (x, cut.min = 8, graphics.reset = T, common.range = F) 
     plot.krig.image (out, main = NA, digits = 4, which = rep(T, 4), 
           graphics.reset = T, ...) 
     plot.qsreg (out, pch = "*", main = NA) 
     plot.sim.krig.image (obj) 
     plot.spatial.design (out) 

     predict.interp.surface (obj, loc) 
     predict.krig.image (obj, x, ...) 
     predict.qsreg (out, x, derivative = 0, model = 1) 
     predict.sreg (out, x, derivative = 0, model = 1) 
     predict.tps (out, x, y, lambda, df, omega, u = NA, 
           derivative = 0, model = NA) 

     print.krig.image (obj) 
     print.qsreg (x, ...) 
     print.spatial.design (x) 
     print.sreg (x, ...) 
     print.summary.Krig (x, ...) 
     print.summary.krig.image (x, ...) 
     print.summary.spatial.design (x, digits = 4) 
     print.summary.sreg (x, ...) 

     qr.q2ty (qr, y) 

     qr.yq2 (qr, y) 

     qsreg.trace (x, y, lam, maxit = 50, maxit.cv = 10, tol = 1e-04, 
         offset = 0, sc = sqrt(var(y)) * 1e-07, alpha = 0.5, 
         wt = rep(1, length(x)), cost = 1) 

     rad.cov (x1, x2, p = 1, with.log = T, with.constant = T, C =NULL) 
     rad.cov.F (x1, x2, p = 1, with.log = T, with.constant = T, C = NULL) 
     rad.cov.S (x1, x2, p = 1, with.log = T, with.constant = T) 
     rad.covC (x1, x2, C, p = 1, with.log = T, with.constant = T) 
     rad.image.cov (ind1, ind2, Y, cov.obj = NULL, setup = F, grid,...) 
     radbas.constant (m, d) 

     rdist.F (x1, x2) 
     rdist.S (x1, x2, lon.lat = F) 

     replace.args.function (fun, ...) 

     setup.W.image.cov (m, n, weights = 1, D = NULL, cut.min = 8, 
          max.m = m,max.n = n, x = NULL, grid = NULL, normalize = T, ...) 

     setup.Wtransform.cov (m, n, weights = 1, cut.min = 8, max.m = m, 
          max.n = n,x = NULL, grid = NULL, normalize = T, ...) 

     sim.krig.image (out, nreps = 10) 
     sim.rf.W (cov.obj) 
     sim.rf.default (obj) 

     sreg.df.to.lambda (df, x, wt, guess = 1, tol = 1e-05) 
     sreg.fdf (h, info) 
     sreg.fgcv (lam, obj) 
     sreg.fgcv.model (lam, obj) 
     sreg.fgcv.one (lam, obj) 
     sreg.fit (lam, info) 
     sreg.fs2hat (lam, obj) 
     sreg.trace (h, info) 

     stats.bplot (x, by, style = "tukey", outlier = T) 
     stats.sim.krig.image (obj) 

     summary.Krig (x, digits = 4) 
     summary.gcv.Krig (out, lambda, cost = 1, verbose = F, offset = 
         0, y = NULL) 
     summary.gcv.sreg (out, lambda, cost = 1, nstep.cv = 20, offset = 
         0, verbose = T) 
     summary.krig.image (x, digits = 4, ...) 
     summary.qsreg (x, ...) 
     summary.spatial.design (x, digits = 4, ...) 
     summary.sreg (x, digits = 4, ...) 

     surface (x, grid.list = NA, extrap = F, xlab = NULL, ylab = 
         ,zlab = NULL, main = NULL, levels = NULL, zlim = NULL, ...) 
     surface.default (...) 
     surface.krig.image (obj, grid.list = NA, extrap = T, 
           graphics.reset = F, xlab = NULL, ylab = NULL, main = NULL,
           zlab = NULL,zlim = NULL,levels = NULL, ptype = "I", ...) 

     surface.surface (obj, lab = NA, type = "b", zlab, xlab, ylab, 
        graphics.reset = F,  ...) 

     test.data  

     test.data2

     unique.matrix (x) 

     unscale (x, x.center, x.scale) 

     variogram.matrix (dat, R = 5) 

     world.dat 

