Thanks, I have much to learn~~~ Shao chunxuan
On 4/9/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > > > i think 'odesolve' and MASS package may help you..... rest is below > >help.search("differential") > >help.search("integration") > HTH > > > >help.search("differential") > Help files with alias or concept or title matching 'differential' using > fuzzy matching: > > distfacmap(adehabitat) Compute distances to the different levels > of a factor map > Citrus(BSDA) Percent of peak bone density of different > aged children > Clean(BSDA) Residual contaminant following the use of > three different > cleansing agents > Fabric(BSDA) Measures of softness of 10 different > clothing garments washed > with and without a softener > Differential Equation System > pda.fd(fda) Principal Differential Analysis > summary.Lfd(fda) Summarize a Linear Differential Operator > Object > vec2Lfd(fda) Make a Linear Differential Operator > Object from a Vector > cellular(forward) Cellular differentiation data > diffseries(fracdiff) Fractionally Differenciate Data > test.between(hierfstat) Tests the significance of the effect of > test.lev on genetic > differentiation > test.between.within(hierfstat) Tests the significance of the effect of > test.lev on genetic > differentiation > test. g(hierfstat) Tests the significance of the effect of > level on genetic > differentiation > test.within(hierfstat) Tests the significance of the effect of > inner.level on genetic > differentiation within blocks defined by > outer.level > poster.plot(IDPmisc) Convenient xyplot with Differently > Colored Margin and Plot Region > ebayes(limma) Empirical Bayes Statistics for > Differential Expression > nlmeODE(nlmeODE) Non-linear mixed-effects modelling in > nlme using differential > equations > Dmean(nlreg) Differentiate the Mean Function of a > Nonlinear Model > Dvar(nlreg) Differentiate the Variance Function of a > Nonlinear Model > lsoda(odesolve) Solve System of ODE (ordinary > differential equation)s. > rk4(odesolve) Solve System of ODE (ordinary > differential equation)s by > classical Runge-Kutta 4th order > integration. > deriv.polynomial(polynom) Differentiate a Polynomial > sde.sim(sde) Simulation of Stochastic Differential > Equation > crossdist.psp(spatstat) Pairwise distances between two different > line segment patterns > compare.method(varmixt) Compare the different analysis methods > fdr.compare.method(varmixt) Comparison of the different analysis > methods > > > >help.search("integration") > > Help files with alias or concept or title matching 'integration' using > fuzzy matching: > > interaction(base) Compute Factor Interactions > plot.bim.mcmc(bim) Bayesian MCMC sequence plots for burnin > and iterations. > plot.nDesign(binGroup) Plot iteration of nDesign > boa.getiter(boa) Extract Iterations > boa.iter(boa) Extract Iteration Numbers > boa.sortiter(boa) Sort by Iteration Numbers > sintegral(Bolstad) Numerical integration using Simpson's > Rule > modelIteration(BRugs) Returns number of iterations > modelSetSeed(BRugs) Seed of Random Number Generator > modelSetAP(BRugs) Changing settings of updating algorithms > modelUpdate(BRugs) Updating the model > samplesSample(BRugs) Stored values > samplesStats(BRugs) Calculate summary statistics > Angell(car) Moral Integration of American Cities > trapz(caTools) Trapezoid Rule Numerical Integration > E(distrEx) Generic Function for the Computation of > (Conditional) > Expectations > GLIntegrate(distrEx) Gauss-Legendre Quadrature > distrExIntegrate(distrEx) Integration of One-Dimensional Functions > distrExOptions(distrEx) Function to change the global variables > of the package 'distrEx' > Mofa(Ecdat) International Expansion of U.S. Mofa's > (majority-owned Foreign > Affiliates in Fire (finance, Insurance > and Real Estate) > myintegrate(elliptic) Complex integration > newton.rapheson(elliptic) Newton Rapheson iteration to find roots > of equations > ilspline(fame) Linear Spline Integration > strongx(faraway) Strong interaction experiment data > itnumber(fpc) Number of regression fixed point cluster > iterations > cvLoss(gbev) Cross-validation of boosting iteration. > plotLoss(gbev) Plot loss function versus iteration. > ConvertMedUnits(gdata) Convert medical measurements between > International Standard (SI) > and US 'Conventional' Units. > MedUnits(gdata) Table of conversions between Intertional > Standard (SI) and US > 'Conventional' Units for common medical > measurements. > scan.glm.2D(GenABEL) Scans regional data allowing for > gene-gene interaction using glm > MultHomog(gnm) Specify a Multiplicative Interaction with > Homogeneous Effects in > a gnm Model Formula > Symm(gnm) Symmetric Interaction of Factors > Topo(gnm) Topological Interaction of Factors > interaction.positioned(HH) interaction method for positioned > factors. > interaction2wt(HH) Plot all main effects and twoway > interactions in a multifactor > design > intxplot(HH) Interaction plot, with an option to print > standard error bars. > panel.interaction2wt(HH) Plot all main effects and twoway > interactions in a multifactor > design > ciapower(Hmisc) Power of Interaction Test for Exponential > Survival > safeIntegrate(HyperbolicDist) Safe Integration of One-Dimensional > Functions > interaction.indices(kappalab) The Shapley interaction indices > area(MASS) Adaptive Numerical Integration > intr.plot.2d(MBESS) Plotting Conditional Regression Lines > with Interactions in Two > Dimensions > intr.plot(MBESS) Regression Surface Containing Interaction > sigma.mle(merror) Computes the ith iteration for computing > the squared imprecision > estimates. > gam.outer(mgcv) Minimize GCV or UBRE score of a GAM using > 'outer' iteration > mice.mids(mice) Multivariate Imputation by Chained > Equations (Iteration Step) > nthOrderModel(mimR) Create generating class with nth order > interactions for > log-linear model > mc.irf(MSBVAR) Monte Carlo Integration / Simulation of > Impulse Response > Functions > gqz(npmlreg) Gauss-Hermite integration points > rk4(odesolve) Solve System of ODE (ordinary > differential equation)s by > classical Runge-Kutta 4th order > integration. > odfInsertPlot(odfWeave) Write XML for image inseration > qb.epistasis(qtlbim) Density Plots for Models Showing > Epistasis and GxE Interactions. > Interaction2wtRcmdr(Rcmdr.HH) Rcmdr menu interface to interaction2wt > interaction2wt(Rcmdr.HH) Plot all main effects and twoway > interactions in a multifactor > design > panel.interaction2wt(Rcmdr.HH) Plot all main effects and twoway > interactions in a multifactor > design > imode(rggobi) Interaction mode > pmodes(rggobi) List available projection/interaction > modes > gdk-Cairo-Interaction(RGtk2) Cairo Interaction > gdk-Pango-Interaction(RGtk2) Pango Interaction > gtkMainIteration(RGtk2) gtkMainIteration > gtkMainIterationDo(RGtk2) gtkMainIterationDo > quadIntegr(rjacobi) Quadrature Integration > mfit(Rlab) Computes main and interaction fitted > effects > telef(robustbase) Number of International Calls from > Belgium > telef(rrcov) Number of International Calls from > Belgium > SIMS(SASmixed) Second International Mathematics Study > data > graphinter(SensoMineR) Graphical display of the interaction > between two qualitative > variables > interact(SensoMineR) Estimation of interaction coefficients > E2.4(SenSrivastava) International Car Ownership Data > integrate.xy(sfsmisc) Cheap Numerical Integration through Data > points. > rotate(shapes) Internal function(s) > euler(simecol) Euler Integration > iteration(simecol) Discrete Simulation > rk4(simecol) Runge-Kutta 4th order integration > SNPassoc-internal(SNPassoc) Internal SNPstat functions > haplo.interaction(SNPassoc) Haplotype interaction with a covariate > int(SNPassoc) Identify interaction term > interactionPval(SNPassoc) Two-dimensional SNP analysis for > association studies > Ord(spatstat) Generic Ord Interaction model > OrdThresh(spatstat) Ord's Interaction model > PairPiece(spatstat) The Piecewise Constant Pairwise > Interaction Point Process Model > Pairwise(spatstat) Generic Pairwise Interaction model > Saturated(spatstat) Saturated Pairwise Interaction model > affinexy(spatstat) Internal spatstat functions > ord.family(spatstat) Ord Interaction Process Family > pairsat.family(spatstat) Saturated Pairwise Interaction Point > Process Family > pairwise.family(spatstat) Pairwise Interaction Process Family > reach(spatstat) Interaction Distance of a Point Process > diffinv(stats) Discrete Integration: Inverse of > Differencing > integrate(stats) Integration of One-Dimensional Functions > interaction.plot(stats) Two-way Interaction Plot > nls.control(stats) Control the Iterations in nls > po.test(tseries) Phillips-Ouliaris Cointegration Test > alphaols(urca) OLS regression of VECM weighting matrix > ca.po(urca) Phillips & Ouliaris Cointegration Test > cajolst(urca) Testing Cointegrating Rank with Level > Shift at Unknown time > cajools(urca) OLS regression of VECM > menu(utils) Menu Interaction Function > humpfit(vegan) No-interaction Model for Hump-backed > Species Richness vs. Biomass > dpss.taper(waveslim) Calculating Thomson's Spectral > Multitapers by Inverse Iteration > > > > Type 'help(FOO, package = PKG)' to inspect entry 'FOO(PKG) TITLE'. > > > -gaurav > ============================================================================================ > DISCLAIMER AND CONFIDENTIALITY CAUTION: > > This message and any attachments with it (the "message") are confidential > and intended > solely for the addressees. 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