Multivariate Data Analysis Laboratory

acfplot | Plot of Auto-correlation Funcion |

ap.plot | Actual versus Predicted Plot and Residuals versus Predicted |

bca.cis | Bias-corrected and Accelerated Confidence Intervals |

bidiagpls.fit | Bidiag2 PLS |

BiPlot | Generates a biplot from the output of an 'mvdareg' and... |

boot.plots | Plots of the Output of a Bootstrap Simulation for an... |

coefficients | Extract Summary Information Pertaining to the Coefficients... |

coefficients.boots | BCa Summaries for the coefficient of an mvdareg object |

coefficientsplot2D | 2-Dimensionsl Graphical Summary Information Pertaining to the... |

coef.mvdareg | Extract Information From a plsFit Model |

coefsplot | Graphical Summary Information Pertaining to the Regression... |

College | Data for College Level Examination Program and the College... |

contr.niets | Cell Means Contrast Matrix |

ellipse.mvdalab | Ellipses, Data Ellipses, and Confidence Ellipses |

imputeBasic | Naive imputation of missing values. |

imputeEM | Expectation Maximization (EM) for imputation of missing... |

imputeQs | Quartile Naive Imputation of Missing Values |

imputeRough | Naive Imputation of Missing Values for Dummy Variable Model... |

introNAs | Introduce NA's into a Dataframe |

jk.after.boot | Jackknife After Bootstrap |

loadings | Summary Information Pertaining to the Bootstrapped Loadings |

loadings.boots | BCa Summaries for the loadings of an mvdareg object |

loadingsplot | Graphical Summary Information Pertaining to the Loadings |

loadingsplot2D | 2-Dimensionsl Graphical Summary Information Pertaining to the... |

mewma | Generates a Hotelling's T2 Graph of the Multivariate... |

model.matrix.mvdalab | 'model.matrix' creates a design (or model) matrix. |

MultCapability | Principal Component Based Multivariate Process Capability... |

MVcis | Calculate Hotelling's T2 Confidence Intervals |

MVComp | Traditional Multivariate Mean Vector Comparison |

mvdaboot | Bootstrapping routine for 'mvdareg' objects |

mvdalab-package-title | Multivariate Data Analysis Laboratory (mvdalab) |

mvdaloo | Leave-one-out routine for 'mvdareg' objects |

mvrnorm.svd | Simulate from a Multivariate Normal, Poisson, Exponential, or... |

my.dummy.df | Create a Design Matrix with the Desired Constrasts |

no.intercept | Delete Intercept from Model Matrix |

pcaFit | Principal Component Analysis |

pca.nipals | PCA with the NIPALS algorithm |

PE | Percent Explained Variation of X |

Penta | Penta data set |

perc.cis | Percentile Bootstrap Confidence Intervals |

plot.cp | Plotting Function for Score Contributions. |

plot.mvcomp | Plot of Multivariate Mean Vector Comparison |

plot.mvdareg | General plotting function for 'mvdareg' and 'mvdapaca'... |

plot.plusminus | 2D Graph of the PCA scores associated with a plusminusFit |

plot.R2s | Plot of R2 |

plot.smc | Plotting function for Significant Multivariate Correlation |

plot.sr | Plotting function for Selectivity Ratio. |

plot.wrtpls | Plots of the Output of a Permutation Distribution for an... |

plsFit | Partial Least Squares Regression |

plusMinusDat | plusMinusDat data set |

plusminus.fit | PlusMinus (Mas-o-Menos) |

plusminusFit | Plus-Minus (Mas-o-Menos) Classifier |

plusminus.loo | Leave-one-out routine for 'plusminus' objects |

predict.mvdareg | Model Predictions From a plsFit Model |

print.mvdalab | Print Methods for mvdalab Objects |

print.plusminus | Print Methods for plusminus Objects |

proCrustes | Comparison of n-point Configurations vis Procrustes Analysis |

R2s | Cross-validated R2, R2 for X, and R2 for Y for PLS models |

ScoreContrib | Generates a score contribution plot |

scoresplot | 2D Graph of the scores |

SeqimputeEM | Sequential Expectation Maximization (EM) for imputation of... |

smc | Significant Multivariate Correlation |

smc.acfTest | Test of the Residual Significant Multivariate Correlation... |

sr | Selectivity Ratio |

T2 | Generates a Hotelling's T2 Graph |

Wang_Chen | Bivariate process data. |

Wang_Chen_Sim | Simulated process data from a plastics manufacturer. |

weight.boots | BCa Summaries for the weights of an mvdareg object |

weights | Extract Summary Information Pertaining to the Bootstrapped... |

weightsplot | Extract Graphical Summary Information Pertaining to the... |

weightsplot2D | Extract a 2-Dimensional Graphical Summary Information... |

wrtpls.fit | Weight Randomization Test PLS |

Xresids | Generates a Graph of the X-residuals |

XresidualContrib | Generates the squared prediction error contributions and... |

y.loadings | Extract Summary Information Pertaining to the y-loadings |

y.loadings.boots | Extract Summary Information Pertaining to the y-loadings |

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