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Index of scripts for the sm library
-----------------------------------
To run a script called "sname", give the command
sm.script(sname)
Script Illus. Fig. Description
------ ------ ---- -----------
sp_hist 1.1 1.1 Density estimate from the aircraft span data
sp_build 1.2 Construction of a density estimate
sp_alter 1.2 1.3 Changing the bandwidth in a density estimate
sp_comp 1.3 1.4 Comparing density estimates from the span data
air_scat 1.5 Scatterplots of the airpc data
air_dens 1.4 1.6 Density estimates from the airpc data
air_imag 1.5 1.7 Imageplot and sliceplot from the airpc data
air_cont 1.6 1.8 Sliceplots for the three groups of airpc data
geys3d 1.7 1.9 Three-dimensional contour from the geyser data
mag_scat 1.8 1.10 Spherical plot of the magnetic remanence data
mag_dens 1.9 1.11 Density estimate from the magnetic remanence data
speed 1.10 1.12 Density estimate from the aircraft speed data
speedvar 1.11 1.13 Modified estimates from the aircraft speed data
edfgrad 1.14 The gradient of an empirical distribution function
te_var 2.1 2.1 Variable bandwidths with the tephra data
air_band 2.2 2.2 A variability band from the aircraft span data
te_hcvsj 2.3 2.3 Bandwidth choices for the tephra data
air_hcv 2.4 2.4 Bandwidth choices for the aircraft data
te_norm 2.5 2.5 Assessing normality for the tephra data
te_band 2.6 2.6 Reference bands for normality with the tephra data
air_ind 2.7 2.7 Exploring independence in the aircraft data
air_inds Testing independence in the aircraft data
air_boot 2.8 2.8 Bootstrapping density estimates
rc_plot 3.1 3.1 Nonparametric regression with the radiocarbon data
rc_alter 3.2 Changing the bandwidth in a nonparametric regression
trwlplot 3.2 3.3 Nonparametric regressions with the reef data
birth1 3.3 3.4 Standard smoothing with the birthweight data
birth2 3.4 3.5 Local logistic regression with the birthweight data
muscle 3.5 3.6 Nonparametric regression with the rat muscle data
stanplot 3.6 3.7 Percentile curves for the Stanford data
follicle 3.7 3.8 Variable bandwidths with the follicle data
stananim Animation of percentile curves (Exercise 3.5)
sin_prop 4.1 Mean and s.d. of a nonparametric regression
rc_vband 4.1 4.2 A variability band with the radiocarbon data
sin_cv 4.2 4.3 Cross-validation for bandwidth choice
trwlboot 4.3 4.4 A reference band for no effect in the reef data
noeff A bootstrap test of no effect in the reef data
rc_boot 4.4 4.5 A bootstrap band from the radiocarbon data
trw_nesg 5.1 5.1 A significance trace for no effect in the reef data
trw_nebd 5.2 5.2 A reference band for no effect in the reef data
trw_lf 5.3 A linear model for the reef data
trw_lfsg 5.3 5.4 Assessing a linear model for the reef data
mildew 5.4 5.5 Assessing spatial trend in the mildew data
trees 5.5 5.6 Assessing linearity in the cherry trees data
trout1 5.7 Local logistic regression with the trout data
trout2 5.6 5.8 Assessing a logistic model for the trout data
bissell1 5.9 A parametric prediction band from Bissell's data
bissell2 5.7 5.10 A nonparametric prediction band from Bissell's data
bissell3 5.11 A reference band for linearity with Bissell's data
(execute bissell3 immediately after bissell2)
sp_comp2 6.1 6.1 Comparing density estimates for the span data
sp_test1 6.2 Assessing equality of densities for the span data
sp_test2 6.2 6.3 Assessing equality for the standardised span data
lc_dens 6.3 6.4 Density estimates from the laryngeal cancer data
lc_rr 6.5 Comparing case and control cancer groups
lc_comp A bootstrap test of equality for bivariate densities
trwlcomp 6.4 6.6 Nonparametric regression curves for the reef data
trwlband 6.5 6.7 A reference band for equality with the reef data
trwlcmp2 6.8 Comparing regression surfaces from the reef data
wormcomp 6.6 6.9 A reference band for equality with the worm data
onionplt 6.7 6.10 Nonparametric regression curves for the onions data
onionbnd 6.8 6.11 A reference band for parallelism
geys_ts 7.1 7.1-3 Density estimates from the geyser data
lynx 7.2 7.4 Analysis of the Canadian lynx data
citrate 7.3 7.5-7 Analysis of plasma citrate concentration data
dogs 7.4 7.8-9 Analysis of coronary sinus potassium data
nyc 7.5 7.10-13 Analysis of New York city air temperature data
trwlgam1 8.1 8.1 An additive model for the reef data
trwlgam2 8.2 Model comparison for the reef data
mackmap 8.3 8.2 Sampling points for the mackerel data
mackplot 8.4 8.3 Plots of the mackerel data
mackgam 8.5 8.4 Additive models for the mackerel data
trwlgam3 8.6 8.5 Semiparametric and varying coefficient models
smackplt 8.7 8.6 Plots for the Spanish survey data
smackgam 8.8 8.7 An additive model for the Spanish survey data
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