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 |