354 lines
19 KiB
Plaintext
354 lines
19 KiB
Plaintext
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.checkMFClasses Functions to Check the Type of Variables passed
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to Model Frames
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AIC Akaike's An Information Criterion
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ARMAacf Compute Theoretical ACF for an ARMA Process
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ARMAtoMA Convert ARMA Process to Infinite MA Process
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Beta The Beta Distribution
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Binomial The Binomial Distribution
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Box.test Box-Pierce and Ljung-Box Tests
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C Sets Contrasts for a Factor
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Cauchy The Cauchy Distribution
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Chisquare The (non-central) Chi-Squared Distribution
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Distributions Distributions in the stats package
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Exponential The Exponential Distribution
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FDist The F Distribution
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GammaDist The Gamma Distribution
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Geometric The Geometric Distribution
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HoltWinters Holt-Winters Filtering
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Hypergeometric The Hypergeometric Distribution
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IQR The Interquartile Range
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KalmanLike Kalman Filtering
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Logistic The Logistic Distribution
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Lognormal The Log Normal Distribution
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Multinomial The Multinomial Distribution
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NLSstAsymptotic Fit the Asymptotic Regression Model
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NLSstClosestX Inverse Interpolation
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NLSstLfAsymptote Horizontal Asymptote on the Left Side
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NLSstRtAsymptote Horizontal Asymptote on the Right Side
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NegBinomial The Negative Binomial Distribution
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Normal The Normal Distribution
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PP.test Phillips-Perron Test for Unit Roots
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Pair Construct a Paired-Data Object
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Poisson The Poisson Distribution
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SSD SSD Matrix and Estimated Variance Matrix in
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Multivariate Models
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SSasymp Self-Starting 'nls' Asymptotic Model
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SSasympOff Self-Starting 'nls' Asymptotic Model with an
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Offset
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SSasympOrig Self-Starting 'nls' Asymptotic Model through
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the Origin
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SSbiexp Self-Starting 'nls' Biexponential Model
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SSfol Self-Starting 'nls' First-order Compartment
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Model
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SSfpl Self-Starting 'nls' Four-Parameter Logistic
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Model
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SSgompertz Self-Starting 'nls' Gompertz Growth Model
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SSlogis Self-Starting 'nls' Logistic Model
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SSmicmen Self-Starting 'nls' Michaelis-Menten Model
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SSweibull Self-Starting 'nls' Weibull Growth Curve Model
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SignRank Distribution of the Wilcoxon Signed Rank
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Statistic
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Smirnov Distribution of the Smirnov Statistic
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StructTS Fit Structural Time Series
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TDist The Student t Distribution
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Tukey The Studentized Range Distribution
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TukeyHSD Compute Tukey Honest Significant Differences
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Uniform The Uniform Distribution
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Weibull The Weibull Distribution
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Wilcoxon Distribution of the Wilcoxon Rank Sum Statistic
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acf Auto- and Cross- Covariance and -Correlation
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Function Estimation
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acf2AR Compute an AR Process Exactly Fitting an ACF
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add1 Add or Drop All Possible Single Terms to a
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Model
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addmargins Puts Arbitrary Margins on Multidimensional
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Tables or Arrays
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aggregate Compute Summary Statistics of Data Subsets
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alias Find Aliases (Dependencies) in a Model
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anova ANOVA Tables
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anova.glm Analysis of Deviance for Generalized Linear
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Model Fits
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anova.lm ANOVA for Linear Model Fits
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anova.mlm Comparisons between Multivariate Linear Models
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ansari.test Ansari-Bradley Test
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aov Fit an Analysis of Variance Model
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approxfun Interpolation Functions
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ar Fit Autoregressive Models to Time Series
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ar.ols Fit Autoregressive Models to Time Series by OLS
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arima ARIMA Modelling of Time Series
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arima.sim Simulate from an ARIMA Model
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arima0 ARIMA Modelling of Time Series - Preliminary
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Version
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as.hclust Convert Objects to Class '"hclust"'
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asOneSidedFormula Convert to One-Sided Formula
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ave Group Averages Over Level Combinations of
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Factors
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bartlett.test Bartlett Test of Homogeneity of Variances
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binom.test Exact Binomial Test
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biplot Biplot of Multivariate Data
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biplot.princomp Biplot for Principal Components
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bw.nrd0 Bandwidth Selectors for Kernel Density
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Estimation
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cancor Canonical Correlations
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case.names Case and Variable Names of Fitted Models
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chisq.test Pearson's Chi-squared Test for Count Data
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cmdscale Classical (Metric) Multidimensional Scaling
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coef Extract Model Coefficients
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complete.cases Find Complete Cases
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confint Confidence Intervals for Model Parameters
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constrOptim Linearly Constrained Optimization
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contr.helmert (Possibly Sparse) Contrast Matrices
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contrasts Get and Set Contrast Matrices
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convolve Convolution of Sequences via FFT
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cophenetic Cophenetic Distances for a Hierarchical
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Clustering
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cor Correlation, Variance and Covariance (Matrices)
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cor.test Test for Association/Correlation Between Paired
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Samples
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cov.wt Weighted Covariance Matrices
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cpgram Plot Cumulative Periodogram
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cutree Cut a Tree into Groups of Data
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decompose Classical Seasonal Decomposition by Moving
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Averages
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delete.response Modify Terms Objects
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dendrapply Apply a Function to All Nodes of a Dendrogram
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dendrogram General Tree Structures
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density Kernel Density Estimation
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deriv Symbolic and Algorithmic Derivatives of Simple
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Expressions
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deviance Model Deviance
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df.residual Residual Degrees-of-Freedom
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diff.ts Methods for Time Series Objects
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diffinv Discrete Integration: Inverse of Differencing
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dist Distance Matrix Computation
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dummy.coef Extract Coefficients in Original Coding
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ecdf Empirical Cumulative Distribution Function
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eff.aovlist Compute Efficiencies of Multistratum Analysis
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of Variance
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effects Effects from Fitted Model
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embed Embedding a Time Series
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expand.model.frame Add new variables to a model frame
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extractAIC Extract AIC from a Fitted Model
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factanal Factor Analysis
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factor.scope Compute Allowed Changes in Adding to or
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Dropping from a Formula
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family Family Objects for Models
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family.glm Accessing Generalized Linear Model Fits
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family.lm Accessing Linear Model Fits
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fft Fast Discrete Fourier Transform (FFT)
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filter Linear Filtering on a Time Series
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fisher.test Fisher's Exact Test for Count Data
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fitted Extract Model Fitted Values
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fivenum Tukey Five-Number Summaries
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fligner.test Fligner-Killeen Test of Homogeneity of
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Variances
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formula Model Formulae
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formula.nls Extract Model Formula from 'nls' Object
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friedman.test Friedman Rank Sum Test
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ftable Flat Contingency Tables
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ftable.formula Formula Notation for Flat Contingency Tables
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getInitial Get Initial Parameter Estimates
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glm Fitting Generalized Linear Models
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glm.control Auxiliary for Controlling GLM Fitting
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hclust Hierarchical Clustering
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heatmap Draw a Heat Map
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identify.hclust Identify Clusters in a Dendrogram
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influence.measures Regression Deletion Diagnostics
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integrate Integration of One-Dimensional Functions
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interaction.plot Two-way Interaction Plot
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is.empty.model Test if a Model's Formula is Empty
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isoreg Isotonic / Monotone Regression
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kernapply Apply Smoothing Kernel
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kernel Smoothing Kernel Objects
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kmeans K-Means Clustering
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kruskal.test Kruskal-Wallis Rank Sum Test
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ks.test Kolmogorov-Smirnov Tests
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ksmooth Kernel Regression Smoother
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lag Lag a Time Series
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lag.plot Time Series Lag Plots
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line Robust Line Fitting
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listof A Class for Lists of (Parts of) Model Fits
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lm Fitting Linear Models
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lm.fit Fitter Functions for Linear Models
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lm.influence Regression Diagnostics
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loadings Print Loadings in Factor Analysis
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loess Local Polynomial Regression Fitting
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loess.control Set Parameters for 'loess'
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logLik Extract Log-Likelihood
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loglin Fitting Log-Linear Models
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lowess Scatter Plot Smoothing
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ls.diag Compute Diagnostics for 'lsfit' Regression
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Results
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ls.print Print 'lsfit' Regression Results
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lsfit Find the Least Squares Fit
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mad Median Absolute Deviation
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mahalanobis Mahalanobis Distance
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make.link Create a Link for GLM Families
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makepredictcall Utility Function for Safe Prediction
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manova Multivariate Analysis of Variance
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mantelhaen.test Cochran-Mantel-Haenszel Chi-Squared Test for
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Count Data
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mauchly.test Mauchly's Test of Sphericity
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mcnemar.test McNemar's Chi-squared Test for Count Data
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median Median Value
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medpolish Median Polish (Robust Two-way Decomposition) of
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a Matrix
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model.extract Extract Components from a Model Frame
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model.frame Extracting the Model Frame from a Formula or
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Fit
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model.matrix Construct Design Matrices
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model.tables Compute Tables of Results from an 'aov' Model
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Fit
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monthplot Plot a Seasonal or other Subseries from a Time
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Series
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mood.test Mood Two-Sample Test of Scale
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na.action NA Action
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na.contiguous Find Longest Contiguous Stretch of non-NAs
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na.fail Handle Missing Values in Objects
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naprint Adjust for Missing Values
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naresid Adjust for Missing Values
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nextn Find Highly Composite Numbers
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nlm Non-Linear Minimization
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nlminb Optimization using PORT routines
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nls Nonlinear Least Squares
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nls.control Control the Iterations in 'nls'
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nobs Extract the Number of Observations from a Fit
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numericDeriv Evaluate Derivatives Numerically
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offset Include an Offset in a Model Formula
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oneway.test Test for Equal Means in a One-Way Layout
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optim General-purpose Optimization
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optimize One Dimensional Optimization
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order.dendrogram Ordering or Labels of the Leaves in a
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Dendrogram
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p.adjust Adjust P-values for Multiple Comparisons
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pairwise.prop.test Pairwise comparisons for proportions
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pairwise.t.test Pairwise t tests
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pairwise.table Tabulate p values for pairwise comparisons
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pairwise.wilcox.test Pairwise Wilcoxon Rank Sum Tests
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plot.HoltWinters Plot function for '"HoltWinters"' objects
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plot.acf Plot Autocovariance and Autocorrelation
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Functions
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plot.density Plot Method for Kernel Density Estimation
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plot.isoreg Plot Method for 'isoreg' Objects
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plot.lm Plot Diagnostics for an 'lm' Object
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plot.ppr Plot Ridge Functions for Projection Pursuit
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Regression Fit
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plot.profile Plotting Functions for 'profile' Objects
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plot.profile.nls Plot a 'profile.nls' Object
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plot.spec Plotting Spectral Densities
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plot.stepfun Plot Step Functions
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plot.stl Methods for STL Objects
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plot.ts Plotting Time-Series Objects
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poisson.test Exact Poisson tests
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poly Compute Orthogonal Polynomials
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power Create a Power Link Object
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power.anova.test Power Calculations for Balanced One-Way
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Analysis of Variance Tests
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power.prop.test Power Calculations for Two-Sample Test for
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Proportions
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power.t.test Power calculations for one and two sample t
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tests
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ppoints Ordinates for Probability Plotting
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ppr Projection Pursuit Regression
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prcomp Principal Components Analysis
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predict Model Predictions
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predict.Arima Forecast from ARIMA fits
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predict.HoltWinters Prediction Function for Fitted Holt-Winters
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Models
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predict.glm Predict Method for GLM Fits
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predict.lm Predict method for Linear Model Fits
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predict.loess Predict LOESS Curve or Surface
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predict.nls Predicting from Nonlinear Least Squares Fits
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predict.smooth.spline Predict from Smoothing Spline Fit
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preplot Pre-computations for a Plotting Object
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princomp Principal Components Analysis
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print.power.htest Print Methods for Hypothesis Tests and Power
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Calculation Objects
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print.ts Printing and Formatting of Time-Series Objects
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printCoefmat Print Coefficient Matrices
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profile Generic Function for Profiling Models
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profile.glm Method for Profiling 'glm' Objects
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profile.nls Method for Profiling 'nls' Objects
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proj Projections of Models
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prop.test Test of Equal or Given Proportions
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prop.trend.test Test for trend in proportions
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qbirthday Probability of coincidences
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qqnorm Quantile-Quantile Plots
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quade.test Quade Test
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quantile Sample Quantiles
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r2dtable Random 2-way Tables with Given Marginals
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rWishart Random Wishart Distributed Matrices
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read.ftable Manipulate Flat Contingency Tables
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rect.hclust Draw Rectangles Around Hierarchical Clusters
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relevel Reorder Levels of Factor
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reorder.default Reorder Levels of a Factor
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reorder.dendrogram Reorder a Dendrogram
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replications Number of Replications of Terms
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reshape Reshape Grouped Data
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residuals Extract Model Residuals
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runmed Running Medians - Robust Scatter Plot Smoothing
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scatter.smooth Scatter Plot with Smooth Curve Fitted by
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'loess'
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screeplot Scree Plots
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sd Standard Deviation
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se.contrast Standard Errors for Contrasts in Model Terms
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selfStart Construct Self-starting Nonlinear Models
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setNames Set the Names in an Object
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shapiro.test Shapiro-Wilk Normality Test
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sigma Extract Residual Standard Deviation 'Sigma'
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simulate Simulate Responses
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smooth Tukey's (Running Median) Smoothing
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smooth.spline Fit a Smoothing Spline
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smoothEnds End Points Smoothing (for Running Medians)
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sortedXyData Create a 'sortedXyData' Object
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spec.ar Estimate Spectral Density of a Time Series from
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AR Fit
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spec.pgram Estimate Spectral Density of a Time Series by a
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Smoothed Periodogram
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spec.taper Taper a Time Series by a Cosine Bell
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spectrum Spectral Density Estimation
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splinefun Interpolating Splines
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start Encode the Terminal Times of Time Series
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stat.anova GLM ANOVA Statistics
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stats-deprecated Deprecated Functions in Package 'stats'
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stats-package The R Stats Package
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step Choose a model by AIC in a Stepwise Algorithm
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stepfun Step Functions - Creation and Class
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stl Seasonal Decomposition of Time Series by Loess
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summary.aov Summarize an Analysis of Variance Model
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summary.glm Summarizing Generalized Linear Model Fits
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summary.lm Summarizing Linear Model Fits
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summary.manova Summary Method for Multivariate Analysis of
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Variance
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summary.nls Summarizing Non-Linear Least-Squares Model Fits
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summary.princomp Summary method for Principal Components
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Analysis
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supsmu Friedman's SuperSmoother
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symnum Symbolic Number Coding
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t.test Student's t-Test
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termplot Plot Regression Terms
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terms Model Terms
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terms.formula Construct a terms Object from a Formula
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terms.object Description of Terms Objects
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time Sampling Times of Time Series
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toeplitz Create Symmetric and Asymmetric Toeplitz Matrix
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ts Time-Series Objects
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ts.plot Plot Multiple Time Series
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ts.union Bind Two or More Time Series
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tsSmooth Use Fixed-Interval Smoothing on Time Series
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tsdiag Diagnostic Plots for Time-Series Fits
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tsp Tsp Attribute of Time-Series-like Objects
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uniroot One Dimensional Root (Zero) Finding
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update Update and Re-fit a Model Call
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update.formula Model Updating
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var.test F Test to Compare Two Variances
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varimax Rotation Methods for Factor Analysis
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vcov Calculate Variance-Covariance Matrix for a
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Fitted Model Object
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weighted.mean Weighted Arithmetic Mean
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weighted.residuals Compute Weighted Residuals
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weights Extract Model Weights
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wilcox.test Wilcoxon Rank Sum and Signed Rank Tests
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window Time (Series) Windows
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xtabs Cross Tabulation
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