fields internal {fields} | R Documentation

## Fields internal and secondary functions

### Description

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

### Usage

    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,...)

    krig.image.parameters (out)

    lonlat2xy (lnlt, miles = FALSE)

    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)

[Package fields version 6.01 Index]