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 = FALSE, transpose = FALSE, cut.min = 8) 
      
     Krig.df.to.lambda(df, D, guess = 1, tol = 1e-05) 
     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 =FALSE, 
     give.warnings = TRUE)
     Krig.find.REML (info, lambda.grid, llike, llike.fun, tol, verbose = TRUE, 
     give.warnings = FALSE)
     Krig.flplike (lam, obj)
     Krig.fs2hat (lam, obj) 
     Krig.ftrace (lam, D) 
     Krig.parameters (obj, mle.calc=obj$mle.calc)
     Krig.replicates (out, verbose = FALSE) 
     Krig.updateY (out, Y, verbose = FALSE, yM=NA) 
     Krig.which.lambda(out)
     Krig.ynew (out, y=NULL, yM=NULL ) 
      

     WD4 (x) 
     WD42d (x) 
     WD42di (x) 
     WD4i (x) 
      
     WQS (x) 
     WQS.T (x) 
     WQS.basis (N, cut.n = 8) 
     WQS2d (x, transpose = FALSE) 
     WQS2di (x, transpose = FALSE) 
     WQSdi (x, transpose = FALSE) 
     WQSi (x) 
     WQSi.T (x) 
     WQS.periodic(x)
     WQS.periodic.T(x)
     WQS.periodic.basis(N, cut.n = 8)
     WQS.periodic.T(x)
     WQS2d.cylinder(x, transpose = FALSE, byX=TRUE)
     WQS2di.cylinder(x, transpose = FALSE, byX=TRUE)
     WQSi.periodic(x)
     WQSi.periodic.T(x)

     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, las=NULL
                 ,add = FALSE, space = 0.25, sort.names = FALSE, xlab = "", ylab = "", 
                   label.cex = 1, xaxt = "n", outlier = TRUE, horizontal = FALSE, 
                   lwd=NA,col=NA,...) 
      
     cat.matrix (mat, digits = 8) 
      
     cat.to.list (x, a) 
      
     ceiling2 (m) 
      
     conjugate.gradient (b, multAx, start, tol = 1e-05, kmax = 
                  25, verbose = TRUE,    ...) 
      
     describe (x) 
     describe.bplot (temp, style = "tukey", outlier = TRUE) 

     double.exp(x)

     dyadic.2check( m,n,cut.p=2)
     dyadic.check( n,cut.p=2) 

     draw.bplot (temp, width, xpos, outlier = TRUE, style = "tukey") 
     draw.bplot.obj (obj, width, xpos, outlier = TRUE, 
                  horizontal = FALSE,lwd=NA,col=NA) 
      
     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 (...) 

     golden.section.search (ax, bx, cx, f, niter = 25, f.extra = NA, 
          tol = 1e-05) 
      
     grey.level (n=256) 
      
     image.plot.info (...) 
     image.plot.plt(x, add=FALSE,  legend.shrink = 0.9, legend.width = 1, 
     horizontal = FALSE, legend.mar=NULL, bigplot = NULL, smallplot = NULL,...)

     in.poly (xd, xp, convex.hull = FALSE, inflation=1e-7) 
      
     krig.image.parameters (out) 
      
     lonlat2xy (lnlt, miles = FALSE) 
      
     make.surface.grid (grid.list)

     minimax.crit (obj, des = TRUE, R) 
      
     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) 
      
     ## S3 method for class 'krig.image':
     plot(x, main = NA, digits = 4, which = rep(TRUE, 4), 
           graphics.reset = TRUE, ...) 
     ## S3 method for class 'qsreg':
     plot(x, pch = "*", main = NA,...) 
     ## S3 method for class 'sim.krig.image':
     plot(x,...) 
     ## S3 method for class 'spatial.design':
     plot(x,...) 
      
     ## S3 method for class 'interp.surface':
     predict(object, loc,...) 
     ## S3 method for class 'krig.image':
     predict(object, x, ...) 
     ## S3 method for class 'qsreg':
     predict(object, x, derivative = 0, model = object$ind.cv.ps,...)
     ## S3 method for class 'sreg':
     predict(object, x, derivative = 0, model = 1,...) 
      
     ## S3 method for class 'krig.image':
     print(x,...) 
     ## S3 method for class 'qsreg':
     print (x, ...) 
     ## S3 method for class 'spatial.design':
     print (x,...) 
     ## S3 method for class 'sreg':
     print(x, ...) 
     ## S3 method for class 'summary.Krig':
     print (x, ...) 
     ## S3 method for class 'summary.krig.image':
     print (x, ...) 
     ## S3 method for class 'summary.spatial.design':
     print (x, digits = 4,...) 
     ## S3 method for class 'summary.sreg':
     print (x, ...) 
      
     qr.q2ty (qr, y) 
      
     qr.yq2 (qr, y) 
      
     qsreg.fit (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)
     qsreg.psi ( r,alpha=.5,C=1) 
     qsreg.rho ( r,alpha=.5,C=1)
     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) 

     radbas.constant (m, d) 
      
     replace.args.function (fun, ...) 
      
     sim.krig.image (out, nreps = 10) 
      
     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, obj, verbose=FALSE) 
     sreg.fs2hat (lam, obj) 
     sreg.trace (h, info) 

     stats.bplot (x, by, style = "tukey", outlier = TRUE) 
     stats.sim.krig.image (obj) 
      
     summary.gcv.Krig(object, lambda, cost = 1, verbose = FALSE, 
                     offset = 0, y = NULL, ...)
     summary.gcv.sreg (object, lambda, cost = 1, nstep.cv = 20, 
             offset = 0, verbose = TRUE,...) 
     ## S3 method for class 'krig.image':
     summary (object, digits = 4, ...) 
     ## S3 method for class 'qsreg':
     summary (object, ...) 
     ## S3 method for class 'spatial.design':
     summary (object, digits = 4, ...) 
     ## S3 method for class 'sreg':
     summary (object, digits = 4, ...) 

     surface(obj , ...) 
     ## Default S3 method:
     surface (obj, ...) 
     ## S3 method for class 'krig.image':
     surface(obj, grid.list = NA, extrap = TRUE, 
           graphics.reset = FALSE, xlab = NULL, ylab = NULL, main = NULL,
           zlab = NULL,zlim = NULL,levels = NULL, ptype = "I", ...) 
      
     ## S3 method for class 'surface':
     surface (obj, ...)

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

