Meta tags:

Headings (most frequently used words):

model, frame, extracting, the, from, formula, or, fit, description, usage, arguments, details, value, references, see, also, examples, stats, package, documentation, browse, packages, we, want, your, feedback,

Text of the page (most frequently used words):
the (98), model (86), for (75), test (54), frame (47), #formula (44), data (42), and (33), plot (29), time (28), series (27), from (27), distribution (22), nls (21), terms (20), fit (18), object (18), method (17), objects (16), linear (15), models (15), regression (14), variables (14), analysis (13), fits (13), extract (12), predict (12), are (12), factor (11), matrix (11), glm (11), class (11), self (11), starting (11), compute (10), functions (10), function (10), power (10), action (10), package (9), variance (9), fitted (9), one (9), smoothing (9), summary (9), stats (9), anova (9), fitting (9), default (9), tests (8), with (8), density (8), levels (8), tables (8), pairwise (8), used (8), this (7), find (7), rank (7), methods (7), loess (7), names (7), matrices (7), dendrogram (7), print (7), arima (7), kernel (7), values (7), will (7), such (7), arguments (7), can (6), packages (6), two (6), null (6), subset (6), any (6), that (5), other (5), wilcoxon (5), sum (5), weighted (5), number (5), components (5), multivariate (5), offset (5), smooth (5), median (5), set (5), reorder (5), hclust (5), extracting (5), all (5), cars (5), get_all_vars (5), those (5), rows (5), then (5), add (4), your (4), documentation (4), residuals (4), covariance (4), tukey (4), construct (4), principal (4), non (4), least (4), squares (4), generalized (4), logistic (4), asymptotic (4), spectral (4), estimation (4), spec (4), create (4), spline (4), standard (4), contrast (4), scatter (4), way (4), sample (4), proportions (4), prop (4), profile (4), plotting (4), holtwinters (4), poisson (4), diagnostics (4), acf (4), comparisons (4), adjust (4), optimization (4), control (4), binomial (4), missing (4), chi (4), squared (4), count (4), lag (4), biplot (4), factors (4), process (4), drop (4), ncars (4), see (4), attributes (4), pass (4), further (4), details (4), xlev (4), unused (4), argument (4), information (3), code (3), embedding (3), have (3), what (3), contrasts (3), weights (3), weibull (3), variances (3), update (3), dimensional (3), use (3), attribute (3), plots (3), friedman (3), princomp (3), summarizing (3), aov (3), seasonal (3), decomposition (3), step (3), aic (3), curve (3), first (3), order (3), running (3), simulate (3), residual (3), deviation (3), nonlinear (3), robust (3), hierarchical (3), flat (3), contingency (3), ftable (3), quantile (3), calculations (3), link (3), exact (3), isoreg (3), normal (3), fail (3), results (3), value (3), lsfit (3), log (3), summaries (3), clustering (3), filtering (3), fft (3), dist (3), deviance (3), correlation (3), type (3), box (3), convert (3), containing (3), additional (3), which (3), not (3), character (3), rather (3), named (3), more (2), embed (2), read (2), website (2), github (2), note (2), you (2), should (2), run (2), language (2), rdrr (2), home (2), improve (2), page (2), its (2), wrong (2), cross (2), signed (2), wilcox (2), statistic (2), mean (2), var (2), call (2), uniform (2), range (2), student (2), multiple (2), tsp (2), toeplitz (2), times (2), description (2), symbolic (2), coding (2), manova (2), stl (2), stepfun (2), deprecated (2), defunct (2), statistics (2), growth (2), parameter (2), ssd (2), splines (2), taper (2), estimate (2), sortedxydata (2), medians (2), sigma (2), shapiro (2), random (2), reshape (2), replications (2), draw (2), clusters (2), given (2), quade (2), trend (2), equal (2), profiling (2), generic (2), prediction (2), holt (2), winters (2), projection (2), pursuit (2), ppr (2), probability (2), orthogonal (2), polynomials (2), poly (2), paired (2), general (2), means (2), include (2), derivatives (2), horizontal (2), asymptote (2), side (2), inverse (2), interpolation (2), using (2), contiguous (2), mood (2), design (2), mcnemar (2), mauchly (2), mahalanobis (2), distance (2), parameters (2), loadings (2), accessing (2), influence (2), lists (2), line (2), kruskal (2), apply (2), empty (2), interaction (2), integration (2), identify (2), hypergeometric (2), get (2), geometric (2), fligner (2), homogeneity (2), fisher (2), discrete (2), family (2), exponential (2), new (2), expand (2), effects (2), aovlist (2), cumulative (2), coefficients (2), coef (2), distributions (2), tree (2), response (2), classical (2), averages (2), into (2), between (2), cor (2), cophenetic (2), possibly (2), complete (2), cases (2), multidimensional (2), cauchy (2), case (2), variable (2), beta (2), bartlett (2), bandwidth (2), autoregressive (2), ols (2), arma (2), modelling (2), ansari (2), possible (2), exactly (2), speed (2), recycled (2), ncol (2), chambers (2), plus (2), specified (2), giving (2), handling (2), present (2), returns (2), only (2), whose (2), integer (2), included (2), unless (2), removed (2), found (2), evaluated (2), dropped (2), based (2), dependent (2), bases (2), full (2), than (2), environment (2), row (2), either (2), return (2), when (2), supplied (2), columns (2), list (2), defaults (2), false (2), how (2), close, customizing, snippets, copy, clipboard, remove, following, snippet, personal, blog, ian, mutexlabs, com, issue, tracker, tweet, rdrrhq, provide, technical, support, individual, contact, authors, want, feedback, forge, bioconductor, cran, browse, online, submit, extra, info, optional, suggestion, looking, content, looks, sets, tabulation, xtabs, windows, window, arithmetic, calculate, vcov, compare, rotation, varimax, updating, root, zero, finding, uniroot, honest, significant, differences, tukeyhsd, studentized, bind, union, fixed, interval, tssmooth, like, diagnostic, tsdiag, form, symmetric, sampling, termplot, tdist, symnum, supersmoother, supsmu, summarize, structural, structts, stlmethods, creation, choose, stepwise, algorithm, stat, encode, terminal, start, ssweibull, michaelis, menten, ssmicmen, sslogis, gompertz, ssgompertz, four, ssfpl, compartment, ssfol, estimated, biexponential, ssbiexp, through, ssasymporig, ssasympoff, ssasymp, interpolating, splinefun, spectrum, cosine, bell, smoothed, pgram, end, points, smoothends, responses, signrank, wilk, normality, setnames, selfstart, errors, screeplots, screeplot, wishart, distributed, rwishart, runmed, grouped, relevel, rectangles, around, rect, manipulate, marginals, r2dtable, quantiles, qqnorm, projections, proj, printing, formatting, hypothesis, calculation, htest, coefficient, printcoefmat, pre, computations, preplot, predicting, surface, forecast, predictions, prcomp, phillips, perron, unit, roots, ordinates, ppoints, balanced, densities, ridge, autocovariance, autocorrelation, tabulate, table, pair, ordering, labels, leaves, optimize, purpose, optim, layout, oneway, evaluate, numerically, numericderiv, observations, nobs, right, nlsstrtasymptote, left, nlsstlfasymptote, nlsstclosestx, nlsstasymptotic, iterations, port, routines, nlminb, minimization, nlm, highly, composite, numbers, nextn, negative, negbinomial, naprint, nafns, handle, longest, stretch, nas, multinomial, multinom, scale, subseries, monthplot, polish, twoway, medpolish, sphericity, cochran, mantel, haenszel, mantelhaen, utility, safe, makepredictcall, families, make, absolute, mad, diag, lowess, lognormal, loglin, likelihood, loglik, local, polynomial, fitter, lmfit, parts, listof, kolmogorov, smirnov, smoother, ksmooth, wallis, kmeans, kernapply, kalman, kalmanlike, isotonic, monotone, interquartile, iqr, integrate, deletion, measures, heat, map, heatmap, auxiliary, controlling, initial, estimates, getinitial, gamma, gammadist, notation, formulae, killeen, five, fivenum, filter, fast, fourier, transform, fdist, allowed, changes, adding, dropping, scope, factanal, extractaic, efficiencies, multistratum, eff, empirical, ecdf, original, dummy, computation, differencing, diffinv, degrees, freedom, algorithmic, simple, expressions, deriv, structures, nodes, dendrapply, modify, delete, moving, decompose, cut, groups, cutree, periodogram, cpgram, cov, association, samples, distances, convolution, sequences, via, convolve, sparse, linearly, constrained, constroptim, confidence, intervals, confint, metric, scaling, cmdscale, central, chisquare, pearson, chisq, check, passed, checkmfclasses, canonical, correlations, cancor, pierce, ljung, coincidences, birthday, binom, selectors, group, over, level, combinations, ave, sided, asonesidedformula, infinite, armatoma, theoretical, armaacf, sim, preliminary, version, arima0, approxfun, bradley, mlm, aliases, dependencies, alias, akaike, criterion, subsets, aggregate, puts, arbitrary, margins, arrays, addmargins, single, add1, acf2ar, auto, iff, length, matches, sqrt, newvar, stopifnot, identical, examples, formulas, manipulation, also, 1992, chapter, eds, hastie, wadsworth, brooks, cole, statistical, references, including, derived, special, was, done, unlike, input, resulting, calls, raw, logical, real, complex, includes, classed, underlying, but, excludes, even, preceded, since, they, because, before, characteristics, computed, subsetted, looked, help, collected, expression, index, applied, may, well, adjusted, according, specifies, converted, taken, rownames, there, already, returned, called, wish, keep, rest, section, applies, happens, depends, saved, often, selected, itself, cope, mass, lqs, true, mix, reach, parenthesised, vectors, assumed, each, treated, second, setting, third, unset, factory, fresh, another, omit, options, specification, valid, indexing, vector, made, about, interacts, under, below, coercible, neither, nor, array, accepted, usage, needed, browser, docs,

Text of the page (random words):
urn the saved model frame used when fitting the model if any often selected by argument model true or pass the call used when fitting on to the default method the default method itself can cope with rather standard model objects such as those of class lqs from package mass if no other arguments are supplied the rest of this section applies only to the default method if either formula or data is already a model frame a data frame with a terms attribute and the other is missing the model frame is returned unless formula is a terms object as formula and then terms is called on it if you wish to use the keep order argument of terms formula pass a terms object rather than a formula row names for the model frame are taken from the data argument if present then from the names of the response in the formula or rownames if it is a matrix if there is one all the variables in formula subset and in are looked for first in data and then in the environment of formula see the help for formula for further details and collected into a data frame then the subset expression is evaluated and it is used as a row index to the data frame then the na action function is applied to the data frame and may well add attributes the levels of any factors in the data frame are adjusted according to the drop unused levels and xlev arguments if xlev specifies a factor and a character variable is found it is converted to a factor as from r 2 10 0 because variables in the formula are evaluated before rows are dropped based on subset the characteristics of data dependent bases such as orthogonal polynomials i e from terms using poly or splines will be computed based on the full data set rather than the subsetted one unless na action null time series attributes will be removed from the variables found since they will be wrong if na s are removed note that all the variables in the formula are included in the data frame even those preceded by only variables whose type is raw logical integer real complex or character can be included in a model frame this includes classed variables such as factors whose underlying type is integer but excludes lists get_all_vars returns a data frame containing the variables used in formula plus those specified in which are recycled to the number of data frame rows unlike model frame default it returns the input variables and not those resulting from function calls in formula value a data frame containing the variables used in formula plus those specified in it will have additional attributes including terms for an object of class terms derived from formula and possibly na action giving information on the handling of na s which will not be present if no special handling was done e g by na pass references chambers j m 1992 data for models chapter 3 of statistical models in s eds j m chambers and t j hastie wadsworth brooks cole see also model matrix for the design matrix formula for formulas and expand model frame for model frame manipulation examples data class model frame dist speed data cars get_all_vars new var s are recycled iff length matches 50 2 25 ncars get_all_vars sqrt dist i speed 2 data cars newvar 2 3 stopifnot is data frame ncars identical cars ncars names cars ncol ncars ncol cars 1 stats acf auto and cross covariance and correlation function acf2ar compute an ar process exactly fitting an acf add1 add or drop all possible single terms to a model addmargins puts arbitrary margins on multidimensional tables or arrays aggregate compute summary statistics of data subsets aic akaike s an information criterion alias find aliases dependencies in a model anova anova tables anova glm analysis of deviance for generalized linear model fits anova lm anova for linear model fits anova mlm comparisons between multivariate linear models ansari test ansari bradley test aov fit an analysis of variance model approxfun interpolation functions ar fit autoregressive models to time series arima arima modelling of time series arima0 arima modelling of time series preliminary version arima sim simulate from an arima model armaacf compute theoretical acf for an arma process armatoma convert arma process to infinite ma process ar ols fit autoregressive models to time series by ols as hclust convert objects to class hclust asonesidedformula convert to one sided formula ave group averages over level combinations of factors bandwidth bandwidth selectors for kernel density estimation bartlett test bartlett test of homogeneity of variances beta the beta distribution binomial the binomial distribution binom test exact binomial test biplot biplot of multivariate data biplot princomp biplot for principal components birthday probability of coincidences box test box pierce and ljung box tests cancor canonical correlations case names case and variable names of fitted models cauchy the cauchy distribution checkmfclasses functions to check the type of variables passed to model chisq test pearson s chi squared test for count data chisquare the non central chi squared distribution cmdscale classical metric multidimensional scaling coef extract model coefficients complete cases find complete cases confint confidence intervals for model parameters constroptim linearly constrained optimization contrast possibly sparse contrast matrices contrasts get and set contrast matrices convolve convolution of sequences via fft cophenetic cophenetic distances for a hierarchical clustering cor correlation variance and covariance matrices cor test test for association correlation between paired samples cov wt weighted covariance matrices cpgram plot cumulative periodogram cutree cut a tree into groups of data decompose classical seasonal decomposition by moving averages delete response modify terms objects dendrapply apply a function to all nodes of a dendrogram dendrogram general tree structures density kernel density estimation deriv symbolic and algorithmic derivatives of simple expressions deviance model deviance df residual residual degrees of freedom diffinv discrete integration inverse of differencing dist distance matrix computation distributions distributions in the stats package dummy coef extract coefficients in original coding ecdf empirical cumulative distribution function eff aovlist compute efficiencies of multistratum analysis of variance effects effects from fitted model embed embedding a time series expand model frame add new variables to a model frame exponential the exponential distribution extractaic extract aic from a fitted model factanal factor analysis factor scope compute allowed changes in adding to or dropping from a family family objects for models fdist the f distribution fft fast discrete fourier transform fft filter linear filtering on a time series fisher test fisher s exact test for count data fitted values extract model fitted values fivenum tukey five number summaries fligner test fligner killeen test of homogeneity of variances formula model formulae formula nls extract model formula from nls object friedman test friedman rank sum test ftable flat contingency tables ftable formula formula notation for flat contingency tables gammadist the gamma distribution geometric the geometric distribution getinitial get initial parameter estimates glm fitting generalized linear models glm control auxiliary for controlling glm fitting glm summaries accessing generalized linear model fits hclust hierarchical clustering heatmap draw a heat map holtwinters holt winters filtering hypergeometric the hypergeometric distribution identify hclust identify clusters in a dendrogram influence measures regression deletion diagnostics integrate integration of one dimensional functions interaction plot two way interaction plot iqr the interquartile range is empty test if a model s formula is empty isoreg isotonic monotone regression kalmanlike kalman filtering kernapply apply smoothing kernel kernel smoothing kernel objects kmeans k means clustering kruskal test kruskal wallis rank sum test ksmooth kernel regression smoother ks test kolmogorov smirnov tests lag lag a time series lag plot time series lag plots line robust line fitting listof a class for lists of parts of model fits lm fitting linear models lmfit fitter functions for linear models lm influence regression diagnostics lm summaries accessing linear model fits loadings print loadings in factor analysis loess local polynomial regression fitting loess control set parameters for loess logistic the logistic distribution loglik extract log likelihood loglin fitting log linear models lognormal the log normal distribution lowess scatter plot smoothing ls diag compute diagnostics for lsfit regression results lsfit find the least squares fit ls print print lsfit regression results mad median absolute deviation mahalanobis mahalanobis distance make link create a link for glm families makepredictcall utility function for safe prediction manova multivariate analysis of variance mantelhaen test cochran mantel haenszel chi squared test for count data mauchly test mauchly s test of sphericity mcnemar test mcnemar s chi squared test for count data median median value medpolish median polish robust twoway decomposition of a matrix model extract extract components from a model frame model frame extracting the model frame from a formula or fit model matrix construct design matrices model tables compute tables of results from an aov model fit monthplot plot a seasonal or other subseries from a time series mood test mood two sample test of scale multinom the multinomial distribution na action na action na contiguous find longest contiguous stretch of non nas na fail handle missing values in objects nafns adjust for missing values naprint adjust for missing values negbinomial the negative binomial distribution nextn find highly composite numbers nlm non linear minimization nlminb optimization using port routines nls nonlinear least squares nls control control the iterations in nls nlsstasymptotic fit the asymptotic regression model nlsstclosestx inverse interpolation nlsstlfasymptote horizontal asymptote on the left side nlsstrtasymptote horizontal asymptote on the right side nobs extract the number of observations from a fit normal the normal distribution numericderiv evaluate derivatives numerically offset include an offset in a model formula oneway test test for equal means in a one way layout optim general purpose optimization optimize one dimensional optimization order dendrogram ordering or labels of the leaves in a dendrogram p adjust adjust p values for multiple comparisons pair construct paired data object pairwise prop test pairwise comparisons for proportions pairwise table tabulate p values for pairwise comparisons pairwise t test pairwise t tests pairwise wilcox test pairwise wilcoxon rank sum tests plot acf plot autocovariance and autocorrelation functions plot density plot method for kernel density estimation plot holtwinters plot function for holtwinters objects plot isoreg plot method for isoreg objects plot lm plot diagnostics for an lm object plot ppr plot ridge functions for projection pursuit regression fit plot profile nls plot a profile nls object plot spec plotting spectral densities plot stepfun plot step functions plot ts plotting time series objects poisson the poisson distribution poisson test exact poisson tests poly compute orthogonal polynomials power create a power link object power anova test power calculations for balanced one way analysis of variance power prop test power calculations for two sample test for proportions power t test power calculations for one and two sample t tests ppoints ordinates for probability plotting ppr projection pursuit regression pp test phillips perron test for unit roots prcomp principal components analysis predict model predictions predict arima forecast from arima fits predict glm predict method for glm fits predict holtwinters prediction function for fitted holt winters models predict lm predict method for linear model fits predict loess predict loess curve or surface predict nls predicting from nonlinear least squares fits predict smooth spline predict from smoothing spline fit preplot pre computations for a plotting object princomp principal components analysis printcoefmat print coefficient matrices print power htest print methods for hypothesis tests and power calculation print ts printing and formatting of time series objects profile generic function for profiling models profile nls method for profiling nls objects proj projections of models prop test test of equal or given proportions prop trend test test for trend in proportions qqnorm quantile quantile plots quade test quade test quantile sample quantiles r2dtable random 2 way tables with given marginals read ftable manipulate flat contingency tables rect hclust draw rectangles around hierarchical clusters relevel reorder levels of factor reorder dendrogram reorder a dendrogram reorder factor reorder levels of a factor replications number of replications of terms reshape reshape grouped data residuals extract model residuals runmed running medians robust scatter plot smoothing rwishart random wishart distributed matrices scatter smooth scatter plot with smooth curve fitted by loess screeplot screeplots sd standard deviation se contrast standard errors for contrasts in model terms selfstart construct self starting nonlinear models setnames set the names in an object shapiro test shapiro wilk normality test sigma extract residual standard deviation sigma signrank distribution of the wilcoxon signed rank statistic simulate simulate responses smooth tukey s running median smoothing smoothends end points smoothing for running medians smooth spline fit a smoothing spline sortedxydata create a sortedxydata object spec ar estimate spectral density of a time series from ar fit spec pgram estimate spectral density of a time series by a smoothed spec taper taper a time series by a cosine bell spectrum spectral density estimation splinefun interpolating splines ssasymp self starting nls asymptotic regression model ssasympoff self starting nls asymptotic regression model with an offset ssasymporig self starting nls asymptotic regression model through the ssbiexp self starting nls biexponential model ssd ssd matrix and estimated variance matrix in multivariate ssfol self starting nls first order compartment model ssfpl self starting nls four parameter logistic model ssgompertz self starting nls gompertz growth model sslogis self starting nls logistic model ssmicmen self starting nls michaelis menten model ssweibull self starting nls weibull growth curve model start encode the terminal times of time series stat anova glm anova statistics stats defunct defunct functions in package stats stats deprecated deprecated functions in package stats stats package the r stats package step choose a model by aic in a stepwise algorithm stepfun step functions creation and class stl seasonal decomposition of time series...