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stats (version 3.3.1)

The R Stats Package

Description

R statistical functions.

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Version

Version

3.3.1

License

Part of R 3.3.1

Maintainer

R-core R-core@R-project.org

Last Published

December 12th, 2019

Functions in stats (3.3.1)

Analysis of Deviance for Generalized Linear Model Fits

Find Aliases (Dependencies) in a Model

Add or Drop All Possible Single Terms to a Model

Akaike's An Information Criterion

ANOVA for Linear Model Fits

Compute an AR Process Exactly Fitting an ACF

Compute Summary Statistics of Data Subsets

Auto- and Cross- Covariance and -Correlation Function Estimation

Puts Arbitrary Margins on Multidimensional Tables or Arrays

Fit Autoregressive Models to Time Series by OLS

Ansari-Bradley Test

Interpolation Functions

Fit an Analysis of Variance Model

ARIMA Modelling of Time Series

Comparisons between Multivariate Linear Models

Fit Autoregressive Models to Time Series

Compute Theoretical ACF for an ARMA Process

Simulate from an ARIMA Model

ARIMA Modelling of Time Series -- Preliminary Version

Convert Objects to Class hclust

The Beta Distribution

Exact Binomial Test

Group Averages Over Level Combinations of Factors

asOneSidedFormula

Convert to One-Sided Formula

The Binomial Distribution

Bandwidth Selectors for Kernel Density Estimation

Bartlett Test of Homogeneity of Variances

Convert ARMA Process to Infinite MA Process

Biplot of Multivariate Data

The Cauchy Distribution

.checkMFClasses

Functions to Check the Type of Variables passed to Model Frames

Pearson's Chi-squared Test for Count Data

Canonical Correlations

biplot.princomp

Biplot for Principal Components

The (non-central) Chi-Squared Distribution

Probability of coincidences

case+variable.names

Case and Variable Names of Fitted Models

Classical (Metric) Multidimensional Scaling

Box-Pierce and Ljung-Box Tests

Confidence Intervals for Model Parameters

Extract Model Coefficients

Convolution of Sequences via FFT

Get and Set Contrast Matrices

Correlation, Variance and Covariance (Matrices)

Linearly Constrained Optimization

Cophenetic Distances for a Hierarchical Clustering

(Possibly Sparse) Contrast Matrices

Test for Association/Correlation Between Paired Samples

Find Complete Cases

delete.response

Modify Terms Objects

Cut a Tree into Groups of Data

Classical Seasonal Decomposition by Moving Averages

Residual Degrees-of-Freedom

Apply a Function to All Nodes of a Dendrogram

Plot Cumulative Periodogram

Weighted Covariance Matrices

Kernel Density Estimation

Symbolic and Algorithmic Derivatives of Simple Expressions

Effects from Fitted Model

Distributions in the stats package

Embedding a Time Series

Discrete Integration: Inverse of Differencing

Extract Coefficients in Original Coding

Empirical Cumulative Distribution Function

Distance Matrix Computation

Compute Efficiencies of Multistratum Analysis of Variance

expand.model.frame

Add new variables to a model frame

Extract AIC from a Fitted Model

The F Distribution

Fast Discrete Fourier Transform (FFT)

The Interquartile Range

interaction.plot

Two-way Interaction Plot

Extract Model Fitted Values

Tukey Five-Number Summaries

Accessing Generalized Linear Model Fits

Fitting Generalized Linear Models

influence.measures

Regression Deletion Diagnostics

Integration of One-Dimensional Functions

Fitter Functions for Linear Models

Print Loadings in Factor Analysis

Print lsfit Regression Results

Compute Diagnostics for lsfit Regression Results

Auxiliary for Controlling GLM Fitting

Get Initial Parameter Estimates

Kalman Filtering

Draw a Heat Map

Hierarchical Clustering

Apply Smoothing Kernel

The Log Normal Distribution

Robust Line Fitting

Time Series Lag Plots

Construct Design Matrices

Extract Components from a Model Frame

Scatter Plot Smoothing

Extract Model Formula from nls Object

Fligner-Killeen Test of Homogeneity of Variances

Friedman Rank Sum Test

Kruskal-Wallis Rank Sum Test

Kolmogorov-Smirnov Tests

Extract Log-Likelihood

Multivariate Analysis of Variance

Fitting Log-Linear Models

Control the Iterations in nls

Include an Offset in a Model Formula

NLSstAsymptotic

Fit the Asymptotic Regression Model

Test for Equal Means in a One-Way Layout

power.anova.test

Power Calculations for Balanced One-Way Analysis of Variance Tests

Create a Power Link Object

Phillips-Perron Test for Unit Roots

Ordinates for Probability Plotting

Manipulate Flat Contingency Tables

Draw Rectangles Around Hierarchical Clusters

Reshape Grouped Data

Extract Model Residuals

Standard Deviation

Standard Errors for Contrasts in Model Terms

Create a sortedXyData Object

Estimate Spectral Density of a Time Series from AR Fit

Compute Allowed Changes in Adding to or Dropping from a Formula

The Gamma Distribution

Family Objects for Models

The Geometric Distribution

identify.hclust

Identify Clusters in a Dendrogram

Holt-Winters Filtering

Kernel Regression Smoother

Lag a Time Series

A Class for Lists of (Parts of) Model Fits

Linear Filtering on a Time Series

Fisher's Exact Test for Count Data

Formula Notation for Flat Contingency Tables

Flat Contingency Tables

Test if a Model's Formula is Empty

Isotonic / Monotone Regression

Smoothing Kernel Objects

Set Parameters for Loess

K-Means Clustering

The Logistic Distribution

Accessing Linear Model Fits

Fitting Linear Models

Find the Least Squares Fit

Mauchly's Test of Sphericity

Mahalanobis Distance

McNemar's Chi-squared Test for Count Data

Adjust for Missing Values

Handle Missing Values in Objects

NLSstLfAsymptote

Horizontal Asymptote on the Left Side

Inverse Interpolation

Plot Autocovariance and Autocorrelation Functions

Plot Method for Kernel Density Estimation

Print Coefficient Matrices

power.prop.test

Power Calculations for Two-Sample Test for Proportions

Power calculations for one and two sample t tests

Generic Function for Profiling Models

Sample Quantiles

Random Wishart Distributed Matrices

Random 2-way Tables with Given Marginals

Running Medians -- Robust Scatter Plot Smoothing

Adjust for Missing Values

The Negative Binomial Distribution

The Normal Distribution

Evaluate Derivatives Numerically

plot.HoltWinters

Plot function for HoltWinters objects

Plot Method for isoreg Objects

Extract Residual Standard Deviation 'Sigma'

Shapiro-Wilk Normality Test

Spectral Density Estimation

Interpolating Splines

Self-Starting Nls Gompertz Growth Model

Self-Starting Nls Four-Parameter Logistic Model

stats-deprecated

Deprecated Functions in Package stats

Plot Ridge Functions for Projection Pursuit Regression Fit

Plot Diagnostics for an lm Object

Forecast from ARIMA fits

Predict Method for GLM Fits

Quantile-Quantile Plots

Printing and Formatting of Time-Series Objects

print.power.htest

Print Methods for Hypothesis Tests and Power Calculation Objects

Create a Link for GLM Families

makepredictcall

Utility Function for Safe Prediction

Compute Tables of Results from an Aov Model Fit

Plot a Seasonal or other Subseries from a Time Series

Find Longest Contiguous Stretch of non-NAs

mantelhaen.test

Cochran-Mantel-Haenszel Chi-Squared Test for Count Data

pairwise.prop.test

Pairwise comparisons for proportions

Median Polish of a Matrix

The Poisson Distribution

pairwise.t.test

Pairwise t tests

Exact Poisson tests

Predicting from Nonlinear Least Squares Fits

predict.smooth.spline

Predict from Smoothing Spline Fit

Method for Profiling nls Objects

Methods for STL Objects

Form Symmetric Toeplitz Matrix

Weighted Arithmetic Mean

F Test to Compare Two Variances

Self-Starting Nls First-order Compartment Model

SSD Matrix and Estimated Variance Matrix in Multivariate Models

Seasonal Decomposition of Time Series by Loess

summary.princomp

Summary method for Principal Components Analysis

Friedman's SuperSmoother

Methods for Time Series Objects

Rotation Methods for Factor Analysis

weighted.residuals

Compute Weighted Residuals

Distribution of the Wilcoxon Signed Rank Statistic

Tukey's (Running Median) Smoothing

Fit Structural Time Series

Symbolic Number Coding

Summarize an Analysis of Variance Model

Student's t-Test

Tsp Attribute of Time-Series-like Objects

Use Fixed-Interval Smoothing on Time Series

The Studentized Range Distribution

Regression Diagnostics

Mood Two-Sample Test of Scale

The Multinomial Distribution

Highly Composite Numbers

Non-Linear Minimization

One Dimensional Optimization

General-purpose Optimization

order.dendrogram

Ordering or Labels of the Leaves in a Dendrogram

Adjust P-values for Multiple Comparisons

Plot Step Functions

Extract the Number of Observations from a Fit.

NLSstRtAsymptote

Horizontal Asymptote on the Right Side

Tabulate p values for pairwise comparisons

pairwise.wilcox.test

Pairwise Wilcoxon Rank Sum Tests

Plotting Spectral Densities

plot.profile.nls

Plot a profile.nls Object

predict.HoltWinters

Prediction Function for Fitted Holt-Winters Models

Pre-computations for a Plotting Object

Model Predictions

Reorder Levels of Factor

Projections of Models

reorder.dendrogram

Reorder a Dendrogram

Self-Starting Nls Asymptotic Regression Model

Self-Starting Nls Asymptotic Regression Model with an Offset

Encode the Terminal Times of Time Series

Self-Starting Nls Weibull Growth Curve Model

Summarizing Generalized Linear Model Fits

Summarizing Linear Model Fits

Plotting Time-Series Objects

Compute Tukey Honest Significant Differences

Construct a terms Object from a Formula

Projection Pursuit Regression

Principal Components Analysis

Predict Loess Curve or Surface

Predict method for Linear Model Fits

prop.trend.test

Test for trend in proportions

Test of Equal or Given Proportions

Scatter Plot with Smooth Curve Fitted by Loess

Construct Self-starting Nonlinear Models

Description of Terms Objects

Sampling Times of Time Series

Extract Model Weights

Estimate Spectral Density of a Time Series by a Smoothed Periodogram

Taper a Time Series by a Cosine Bell

Set the Names in an Object

Self-Starting Nls Michaelis-Menten Model

Summary Method for Multivariate Analysis of Variance

Time-Series Objects

Summarizing Non-Linear Least-Squares Model Fits

Plot Multiple Time Series

Distribution of the Wilcoxon Rank Sum Statistic

Update and Re-fit a Model Call

The R Stats Package

The Student t Distribution

Plot Regression Terms

Bind Two or More Time Series

Diagnostic Plots for Time-Series Fits

Calculate Variance-Covariance Matrix for a Fitted Model Object

The Weibull Distribution

reorder.default

Reorder Levels of a Factor

Fit a Smoothing Spline

Self-Starting Nls Asymptotic Regression Model through the Origin

End Points Smoothing (for Running Medians)

Self-Starting Nls Biexponential model

GLM Anova Statistics

Defunct Functions in Package stats

Wilcoxon Rank Sum and Signed Rank Tests

The Uniform Distribution

One Dimensional Root (Zero) Finding

Sets Contrasts for a Factor

Self-Starting Nls Logistic Model

Principal Components Analysis

Number of Replications of Terms

Step Functions - Creation and Class

Choose a model by AIC in a Stepwise Algorithm