G-test for binary variables
G-test
Cross validation
Cross validation
Pairwise comparisons after a G-test
Anova Tables for Cumulative Link (Mixed) Models
Pairwise comparisons after a G-test for given probabilities
Significance test for CDA
Significance test based on cross-validation
Significance test for GPA
Paired plot of multivariate analyses
Biplot of multivariate analyses
Type II permutation test for constrained multivariate analyses
Loadings of multivariate analyses
Loading plot of multivariate analyses
Plotting of multivariate analyses
Trajectory plot of multivariate analyses
Correlations of multivariate analyses
Type II permutation MANOVA using distance matrices
Back-transformation of EMMeans
Variable Importance in the Projection (VIP)
Cross model validation
Testing and Plotting Procedures for Biostatistics
Score plot of multivariate analyses
Scores of multivariate analyses
QQ-plot for factor levels
Cumulative Distribution Function of a known discrete distribution
Fisher's exact test for binary variables
Comparison of 2 Pearson's linear correlation coefficients
Equality of a Pearson's linear correlation coefficient to a given value
Expected counts for comparison of response probabilities to given values
Bootstrap
Pairwise comparisons after a chi-squared test for given probabilities
Cochran's Q test
Histogram for factor levels
Odds-ratio (multinomial regression)
Pairwise comparisons using Fisher's exact test
Comparison of several Pearson's linear correlation coefficients
Significance test for the covariance between two datasets
QQ-plot for factor levels
Shapiro-Wilk test for factor levels
Dummy responses
Condition number of the Hessian matrix of a multinomial log-linear model
Shapiro-Wilk test for factor levels
Coordinates of projected points
Cramer's association coefficient
Martingale residuals of a Cox model
Empirical logistic transformation
Cramer's association coefficient
Pairwise permutation tests based on cross (model) validation
Multivariate normality QQ-Plot
Correlation circle of multivariate analyses
Coefficient of variation
Tests for (semi-)partial association/correlation between paired samples
Univariate comparison of groups for multiple binary variables
Shapiro-Wilk multivariate normality test
Permutation Analysis of Variance
Univariate comparison of groups for multiple variables
Predict method for cross-validated CDA submodels
Pairwise comparisons of groups displayed on a factorial map
Predict method for cross-validated submodels
Sequence generation
Least rectangles linear regression
Slope of a hand-defined line
Survivor curve
Standard error
Simple analysis of model residuals
"Correlation" of variables to axes in MCA or mix analyses
Graphical adujstment of a simple binary logistic regression to data
Dendrogram and number of groups to be chosen
Deprecated functions in RVAideMemoire package
Creating a nls model for logistic regression from fitted values of a glm model
Mode
Pairwise comparisons for CDA
Pairwise comparisons for proportions using G-tests
Wald tests for comparison of proportions to theoretical values
Confidence interval of a Spearman's rank correlation coefficient
Wald test for comparison of a proportion to a theoretical value
Synthesis quality of multivariate analyses
Significance test based on cross (model) validation
Cross validation
Significance tests of coefficients (multinomial regression)
Pairwise comparisons after an exact multinomial test
Standardization of a data frame based on another data frame
Weighted arithmetic mean
Mood's median test
Pairwise Mood's median tests
Pairwise F tests
Exact multinomial test
Pairwise permutation MANOVAs
Observed rating frequencies
(Semi-)Partial correlation
Permutation Bartlett's test of homogeneity of variances
Permutation Pearson's correlation test
Permutation Student's t-test
Confidence intervals of a simple linear regression
Pearson's Chi-squared test for binary variables
multinomial.theo.multcomp
Pairwise comparisons after an exact multinomial test for given probabilities
Univariate correlation test for multiple variables
Pairwise comparisons after a chi-squared goodness-of-fit test
Pearson's Chi-squared test for comparison of response probabilities to given values
Fligner-Policello test
Expected counts for comparison of proportions to given values
Individual contributions in regression
Re-computation of an ordination using given row weights
Synthesis quality of multivariate analyses
Predict method for CDA
Pairwise permutation t tests
Estimation of overdispersion with glmer
models Pairwise comparisons after a test for given probabilities
Pairwise permutation F tests
Wald tests for comparison of proportions
EMMeans for Cumulative Link (Mixed) Models
User defined contrasts for EMMeans
Permutation F test to compare two variances
Pairwise comparisons after a test for given proportions
Wilcoxon sign test
Non parametric pairwise comparisons for paired data
Proportions and standard errors
Comparison of several Spearman's rank correlation coefficients
Divide into groups respecting relative proportions