a collection of programs for curve and function fitting


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actuator Actuator force experiment.
actuator.calibrate Actuator calibration experiment.
addreg Additive nonparametric regression
as.surface Creates an object for plotting using contour, persp or image
auto.paint Data frame of paint measurements from the hood of a car.
BD Data frame of the effect of buffer compositions on DNA strand displacement amplification.
BD2
bplot boxplot
climate Climate and geographical data for 50 largest US cities. Information on 50 largest US cities. List components: lon: longitude lat: latitude jan: average minimum January temperature (degrees F) rain: average rainfall in inches city: city names jul: average maximum July temperature elev: Elevation above sea level in KW. Reference: The Universal Almanac (1992), ed. John W. Wright, Andrews and McNeel, Kansas City.
cover.design Generate a coverage design.
flame Response surface for a intensity Results from an analytical chemistry lab at NCSU. The intensity of emitted light when a solution with Lithium is ionized in a flame. The two independent variables are the fuel and O2 flow rates for the flame. The goal is to identify flow rates that maximize the intensity. The ridge in this surface may be due to stoichiometric ratio of how the fuel and the oxygen combine to burn. A maxima is located near the edge of the operating region but it was found that for setting of flow rates outside the experimental region the mixture tended to explode! Data was generously provided by Charles Boss and Kevin Buckley.
krig Kriging surface estimate
lle Calculates local Lyapunov exponents for plotting.
lplot Labeled plot
make.Amatrix Matrix relating predicted values to the dependent (Y) values
make.Amatrix.krig Computes matrix that relates predicted values to the vector of dependent variables (Y)
make.Amatrix.tps Computes matrix that relates predicted values to the vector of dependent variables (Y)
make.drb Evaluates the Demmler-Reinsch basis fucntions
make.lags Lags vectors and covariates correctly so that an autoregressive model can be estimated by regression.
make.lle Calculates global and local Lyapunov exponents
make.surface.grid Makes a grid surface that can be plotted.
minitri Mini triathlon results Results from a mini triathlon sponsored by Bud Lite, held in Cary, NC, June 1990. Times are in minutes for the male 30-34 group. Components are: swim: (1/2 mile) bike: (15 miles) run: (4 miles)
nkden Normal kernel density estimate
nkden.cv Cross- validation function for a normal kernel density estimate
nkreg Normal kernel regression estimate
nlar Nonlinear autoregressive model
nnreg Fits a surface based on a neural network
nnregCI Finds a confidence set of parameters for a neural net fit.
optim.funfits Finds optimum within a region
ozone Data set of ozone measurements at 20 Chicago monitoring stations.
path Finds path of steepest ascent
persp.init, Sets up axes for perspective plotting using other functions from persp family.
plot.krig Diagnoistic and summary plots of the kriging object
plot.lle Plots local Lyapunov exponents
plot.nnreg Diagnoistic and summary plots of a neural net regression object
plot.sreg Plots smoothing spline regression object
plot.surface Plots a surface
plot.tps Diagnoistic and summary plots for a thin plate spline regression object
plot.window Creates a motif graphics window.
predict.krig Evaluation of kriging surface
predict.netfit Evaluation of a neural net fit based on a model component
predict.nnreg Evaluation of neural net surface.
predict.se Standard errors of predictions
predict.se.krig Standard errors of predictions for kriging estimate
predict.se.tps Standard errors of predictions for thin plate spline regression
predict.surface Evaluates a function on a surface
predict.surface.se Standard error predictions of surface
predict.tps Evaluation of thin plate spline surface.
print.krig Print kriging fit results.
print.nnreg Print nnreg fit results
print.tps Print thin plate spline fit results
qspreg Quantile spline regression
rossler A time series obtained by sampling the first variable (X) of the Rossler system. See the help file rossler.state for details of the system.
rossler.state A multivariate time series of the form W_t=f(W_t-1) + e_t. The Rossler system is a system of three first order nonlinear ODEs. The system has been numerically integrated with a time step size of .1 and noise that is distributed normal with mean =0 and sigma=.1 is added at every time step. The map f is highly nonlinear and has complicated structure not easily fit by simple regression methods. The time series is created by sampling every 5 time steps. The rossler object is a matrix with columns the x,y and z values of the system at the sampling times.
rtps Robust thin plate spline regression
set.panel Specify a panel of plots
splint Cubic spline interpolation
spreg Smoothing spline regression
sreg Smoothing spline regression
stats Calculate summary statistics
summary.krig Summary for krigging fit
summary.netfit Summary of parameters of netfit object
summary.nnreg Summary for neural net regression
summary.tps Summary for thin plate spline regression
surface Plots a surface
surface.addreg Plots a surface and contours
surface.krig Plots a surface and contours
surface.nnreg Plots a surface and contours
surface.surface Plots a surface
surface.tps Plots a surface and contours
tps Thin plate spline regression
tpsreg Thin plate spline regression ~function to do ???
vgfast Fast variogram for replicated fields
vgram Variogram
write.data Writes data set out to a file
xline Draw a vertical line
yline Draw a horizontal line