Set or return options of sm library
This function provides a means to control the behaviour of the
sm library such as the colour of the plotted lines, the size of the grid in 2-d estimation, the set of evaluations points, and many others. A list may be given as the only argument, or any number of arguments may be in the
name=value form. If no arguments are specified then the function returns the current settings of all the arguments.
A list may be given as the only argument, or any number of arguments may be in the
a logical value which controls whether the estimate is added to the current plot. Its default value is
FALSE, which creates a new plot. This argument applies only with one-dimensional data or to contour and
rglcreated from two-dimensional data.
an parameter, lying between 0 and 1, which controls the transparency of the surface used to construct an
rglplot for regression with two covariates. The default value is
an parameter, lying between 0 and 1, which controls the transparency of the mesh lines used to construct an
rglplot for regression with two covariates. The default value is
a logical value which controls whether the distance between the nonparametric estimate and a reference model should be indicated as a band (one covariate), or through colour painting of the regression surface (two covariates). This is activated only when a model has been nominated through the
modelparameter. In the case of two covariates, the setting of the argument
colhas priority over
band. The setting
se = TRUEcan also activate this feature.
the colour used for plotting observed points and estimated curves. Where groups are used, with one covariate,
colmay be set to a vector of colours associated with the groups. In regression with two covariates using an
colmay be set to a single colour, or to the values
"se". These letter two setting cause the surface to be painted according to its height or to standard error information; see the information on the parameters
the colour used for the reference band when a
modelis specified in regression with one covariate. Default:
the colour used for the ‘wire mesh’ representation plotting observed points in an rgl display for regression with two covariates. This can also be set by the second component of a vector of length two which is set for
the colours used for shading an image plot, or for surface painting in an rgl display, for regression with two covariates. Default:
the colour used for plotting observed points in a regression with one covariate or an
rgldisplay for regression with two covariates. Default:
sm.density, a value which will be added to the data before they are log transformed in the procedure to handle positive data. The value of
deltais used only when
positivetakes the value
TRUE. The default value is the smallest value observed in each dimension. This argument does not apply with three-dimensional data. Default:
logical flag whiich affects the behaviour of
describe=TRUE(default), a data documentation file is printed.
approximate degrees-of-freedom of the smoothing parameter used in
sm.regression, when a numerical value of
his not specified. In this case, the equivalent value of
hwill be computed and included in the list returned on exit from
sm.regression. Default value is 6 if
xis a vector and 12 if
xis a matrix.
sm.regression, an integer defining the degree of differencing to be applied in the estimation process. When this argument is set to 1, the method of Rice, based on the squared differences of pairs of neighbouring observations, is used. When the argument is set to 2 (deafult), the method of Gasser, Sroka and Jennen-Steinmetz, based on differences between each observation and a linear interplotation from its two neighbours, is used.
This argument applies only with one- or two-dimensional data. The setting
"none"will prevent any graphical output from being produced. In one dimensions, the default setting
"line"will produce the estimate. (For compatibility with earlier versions of the package, the setting
"se"will produce a variability band to show the variability, but not the bias, of the estimate. This should now be controlled by setting the separate parameter
TRUE.) In two dimensions, the default setting
"persp"will produce a perspective plot of the estimate, while the settings
"rgl"will produce slice (contour), image or
logical flag which controls how the options
eval.pointsare used fow two-dimensional data. If
eval.grid=TRUE(default), evaluation is perfomed at points obtained by the cross-product of the two columns of
eval.grid=FALSEthen evaluation is performed at points with coordinates specified by the coordinates in
the points at which the density or the regression curve or surface estimate should be evaluated, for the values returned in the result of the function. This should be a vector for one-dimensional data and a two-column matrix for two-dimensional data. This argument does not apply with three-dimensional data.
a vector of weights which multiply the smoothing parameter used in the kernel function at each observation. This argument does not apply with three-dimensional data. Default value: 1.
a factor which can be used to multiply the normal smoothing parameter before construction of the density estimate. Default value: 1.
a logical value which controls whether the estimate is evaluated and plotted only on grid points which fall within the convex hull of the data. When this argument is set to
FALSE, evaluation and plotting take place at all grid points where the contribution from at least one kernel function is non-negligible. Both of these settings ensure that the estimate is not evaluated at points where there are no observations nearby. This argument applies only to
sm.discontinuityin the case of two covariates.
the line type used to plot the estimate. This argument applies only when the estimate is displayed as a curve or a countour. Default value: 1.
the method used to select smoothing parameters. In density estimation the default is
"normal"which uses a value which is asymptotically optimal for the normal distribution. Other possibilities are
"cv"for cross-validation and
"sj"for the Sheather-Jones method. In nonparametric regression, the deault is
"df"which selects a smoothing parameters associated with the approximate degrees of freedom given in the
dfoption. Other possibilities are
"cv"for cross-validation and
"aicc"for an AIC-based method proposed by Hurvich, Simonoff and Tsai.
the number of bins used in one-dimensional binning operations; in two-dimensional cases,
nbinsrefers to the number of bins formed along each axis. Bins with 0 observed frequencies are ignored. If
nbins=0, binning is not performed; if
nbins=NA(default), binning is switched on when the number of observations exceeds a certain threshold, which depends on the function.
number of samples generated in bootstraps. Default value: 100.
the number of points in the regular grid used to plot the estimate. For two- and three-dimensional data,
ngridrefers to the number of points along the axis in each dimension. The same parameter is also used by a few other functions which perform some form of search (e.g.
hcv). Default value for
sm.regression: 50 and 20 for 1-, 2-dimensional data, respectively. Default value for
sm.density: 100, 50 and 20 for 1-, 2- and 3-dimensional data, respectively.
a logical value which, when set to true, creates a panel which allows interactive control of
sm.densityplots for one- or two-dimensional data. The panel can be used to alter the value of the smoothing parameter and control a variety of other settings.
a logical value which, when set to true (the default), places the plot inside the control panel (see the
panelargument above), This creates a neater screen arrangement.
the standard plotting charater identified for data plotting. Default value: 1.
a vector of length one or two identifying the period for covariates which are on a periodic scale. Periodic smoothing is implemented by local mean estimation, using a von Mises kernel function. Non-periodic covariates are identified by NA. Default value: NA.
the vertical rotation (in degrees) of perspective plots of estimate in the form of surfaces. Default value: 40.
an integer defining local constant (0) or local linear (1) smoothing. Default value: 1.
a logical value which indicates whether the data should be assumed to take positive values only, in
sm.density. When this argument is set to
TRUE, a log transformation is applied to the data before construction of a density estimate. The result is transformed back to the original scale. This argument does not apply with three-dimensional data. Default value:
a vector defining the proportions of the data to be included within each contour in a slice plot, from two-dimensional data, or a contour surface plot, from three-dimensional data. In the three-dimensional case only the first element of the vector will be used. This argument does not apply to one-dimensional data. Default value:
logical flag which regulates whether a rugplot is superimposed to the density estimate, in the univariate case. Default value:
logical flag which regulates whether a standard error information is added to the plot produced by
sm.regression. If a
modelis specified, then these standard errors refer to the difference between this fitted model and the nonparametric regression estimate. Default value:
a numerical vector which defines the cut-points, on a standard error scale, for the assignment of colours when painting a regression surface with standard error information. Default value:
c(-3, -2, 3, 3).
logical flag which affects the behaviour of
sm.scriptwhen this is called with non-empty argument. If
show.script=TRUE(default) a window is opened to display the source code of the script.
an integer which defines the size of plotted points in
rgldisplays. The default value is
the structure of the smoothing parameter in two-dimensional settings. The default is
"scaled", which uses the structure (h*sd(x[,1]), h*sd(x[,2])). Other possibilities are
"separate", which uses (h1, h2), and
"common"which uses (h, h). The
"common"option may be particularly appropriate when the data have a spatial origin, where distances in each variable havae the same meaning. Note that the
"separate"option is not available when
"method"is set to
a logical flag controlling the production of a formal test, using the reference model as the null hypothesis. Default value:
the horizontal rotation (in degrees) of perspective plots of estimates in the form of surfaces. Default value: -30.
regulates the amount of messages and other output printed out. If
verbose=0only errors produce messages; if
verbose=1(default value) warnings and the more relevant numerical output are printed ; if
verbose=2more messages and more numerical output are printed.
the label attached to the x-axis.
the range of the horizontal axis of the plot. This argument does not apply with three-dimensional data.
the upper limit of the vertical axis in a plot of a one-dimensional density estimate. The lower limit is always set to 0. This argument does not apply with two- or three-dimensional data.
the label attached to the y-axis.
the range of the vertical axis of the plot. This argument does not apply with three-dimensional data.
the label attached to the z-axis (three-dimensional plots only).
the range of the vertical axis when estimates are displayed as perspective plots.
Arguments which are set by a function call will remain in effect until the end of the current S-plus session, unless overwritten by a subsequent call. In addition, they can be added as optional parameters of calls to specific functions of the
sm package; in this case, their effect is
limited to that function call.
See the documentation of specific functions for the list of options which are recognised by that function. Notice that some options are relevant only to some functions.
a list with the updated values of the parameters. If the argument list is not empty, the returned list is invisible.
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