| weighted.mean | Weighted Arithmetic Mean |
| median | Median Value |
| mad | Median Absolute Deviation |
| sd | Standard Deviation |
| quantile | Sample Quantiles |
| IQR | The Interquartile Range |
| fivenum | Tukey Five-Number Summaries |
| qqnorm | Quantile-Quantile Plots |
| ecdf | Empirical Cumulative Distribution Function |
| binom.test | Exact Binomial Test |
| chisq.test | Pearson's Chi-squared Test for Count Data |
| poisson.test | Exact Poisson tests |
| prop.test | Test of Equal or Given Proportions |
| power.prop.test | Power Calculations for Two-Sample Test for Proportions |
| prop.trend.test | Test for trend in proportions |
| pairwise.prop.test | Pairwise comparisons for proportions |
| fisher.test | Fisher's Exact Test for Count Data |
| mantelhaen.test | Cochran-Mantel-Haenszel Chi-Squared Test for Count Data |
| mcnemar.test | McNemar's Chi-squared Test for Count Data |
| t.test | Student's t-Test |
| power.t.test | Power calculations for one and two sample t tests |
| pairwise.t.test | Pairwise t tests |
| var.test | F Test to Compare Two Variances |
| wilcox.test | Wilcoxon Rank Sum and Signed Rank Tests |
| pairwise.wilcox.test | Pairwise Wilcoxon Rank Sum Tests |
| cor.test | Test for Association/Correlation Between Paired Samples |
| ansari.test | Ansari-Bradley Test |
| bartlett.test | Bartlett Test of Homogeneity of Variances |
| fligner.test | Fligner-Killeen Test of Homogeneity of Variances |
| friedman.test | Friedman Rank Sum Test |
| kruskal.test | Kruskal-Wallis Rank Sum Test |
| mauchly.test | Mauchly's Test of Sphericity |
| mood.test | Mood Two-Sample Test of Scale |
| quade.test | Quade Test |
| ks.test | Kolmogorov-Smirnov Tests |
| shapiro.test | Shapiro-Wilk Normality Test |
| Distributions | Distributions in the stats package |
| Binomial | The Binomial Distribution |
| NegBinomial | The Negative Binomial Distribution |
| Multinomial | The Multinomial Distribution |
| Geometric | The Geometric Distribution |
| Hypergeometric | The Hypergeometric Distribution |
| Poisson | The Poisson Distribution |
| Uniform | The Uniform Distribution |
| Normal | The Normal Distribution |
| Lognormal | The Log Normal Distribution |
| Exponential | The Exponential Distribution |
| Weibull | The Weibull Distribution |
| GammaDist | The Gamma Distribution |
| Beta | The Beta Distribution |
| Chisquare | The (non-central) Chi-Squared Distribution |
| FDist | The F Distribution |
| TDist | The Student t Distribution |
| Cauchy | The Cauchy Distribution |
| Logistic | The Logistic Distribution |
| rWishart | Random Wishart Distributed Matrices |
| Wilcoxon | Distribution of the Wilcoxon Rank Sum Statistic |
| SignRank | Distribution of the Wilcoxon Signed Rank Statistic |
| Tukey | The Studentized Range Distribution |
| Smirnov | Distribution of the Smirnov Statistic |
| qbirthday | Probability of coincidences |
| r2dtable | Random 2-way Tables with Given Marginals |
| heatmap | Draw a Heat Map |
| biplot | Biplot of Multivariate Data |
| mahalanobis | Mahalanobis Distance |
| dist | Distance Matrix Computation |
| cor | Correlation, Variance and Covariance (Matrices) |
| cov.wt | Weighted Covariance Matrices |
| cancor | Canonical Correlations |
| prcomp | Principal Components Analysis |
| factanal | Factor Analysis |
| cmdscale | Classical (Metric) Multidimensional Scaling |
| hclust | Hierarchical Clustering |
| kmeans | K-Means Clustering |
| AIC | Akaike's An Information Criterion |
| step | Choose a model by AIC in a Stepwise Algorithm |
| deviance | Model Deviance |
| logLik | Extract Log-Likelihood |
| lm | Fitting Linear Models |
| glm | Fitting Generalized Linear Models |
| famiy | Family Objects for Models |
| anova | ANOVA Tables |
| manova | Multivariate Analysis of Variance |
| TukeyHSD | Compute Tukey Honest Significant Differences |
| ppr | Projection Pursuit Regression |
| isoreg | Isotonic / Monotone Regression |
| line | Robust Line Fitting |
| nls | Nonlinear Least Squares |
| NLSstAsymptotic | Fit the Asymptotic Regression Model |
| getInitial | Get Initial Parameter Estimates |
| SSasymp | Self-Starting 'nls' Asymptotic Model |
| SSasympOff | Self-Starting 'nls' Asymptotic Model with an Offset |
| SSasympOrig | Self-Starting 'nls' Asymptotic Model through the Origin |
| SSbiexp | Self-Starting 'nls' Biexponential Model |
| 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 |
| ts | Time-Series Objects |
| diff.ts | Methods for Time Series Objects |
| diffinv | Discrete Integration: Inverse of Differencing |
| ts.union | Bind Two or More Time Series |
| start | Encode the Terminal Times of Time Series |
| time | Sampling Times of Time Series |
| tsp | Tsp Attribute of Time-Series-like Objects |
| window | Time (Series) Windows |
| lag | Lag a Time Series |
| lag.plot | Time Series Lag Plots |
| aggregate | Compute Summary Statistics of Data Subsets |
| na.contiguous | Find Longest Contiguous Stretch of non-NAs |
| acf | Auto- and Cross- Covariance and -Correlation Function Estimation |
| spectrum | Spectral Density Estimation |
| spec.taper | Taper a Time Series by a Cosine Bell |
| cpgram | Plot Cumulative Periodogram |
| ar | Fit Autoregressive Models to Time Series |
| arima | ARIMA Modelling of Time Series |
| arima.sim | Simulate from an ARIMA Model |
| ARMAacf | Compute Theoretical ACF for an ARMA Process |
| ARMAtoMA | Convert ARMA Process to Infinite MA Process |
| Box.test | Box-Pierce and Ljung-Box Tests |
| PP.test | Phillips-Perron Test for Unit Roots |
| tsdiag | Diagnostic Plots for Time-Series Fits |
| decompose | Classical Seasonal Decomposition by Moving Averages |
| stl | Seasonal Decomposition of Time Series by Loess |
| filter | Linear Filtering on a Time Series |
| kernapply | Apply Smoothing Kernel |
| kernel | Smoothing Kernel Objects |
| HoltWinters | Holt-Winters Filtering |
| monthplot | Plot a Seasonal or other Subseries from a Time Series |
| ts.plot | Plot Multiple Time Series |
| StructTS | Fit Structural Time Series |
| tsSmooth | Use Fixed-Interval Smoothing on Time Series |
| KalmanLike | Kalman Filtering |
| embed | Embedding a Time Series |
| toeplitz | Create Symmetric and Asymmetric Toeplitz Matrix |