Learn R Programming

⚠️There's a newer version (0.9-83-12) of this package.Take me there.

RVAideMemoire (version 0.9-5)

Diverse basic statistical and graphical functions accompanying the french book 'Aide-memoire de statistique appliquee a la biologie'

Description

This package contains diverse more or less complicated functions, written to simplify beginners' life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools... All functions are presented in the french book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.

Copy Link

Version

Install

install.packages('RVAideMemoire')

Monthly Downloads

3,810

Version

0.9-5

License

GPL-2

Maintainer

Maxime Herv�

Last Published

July 23rd, 2011

Functions in RVAideMemoire (0.9-5)

Standard error of the mean

Divide into groups respecting relative proportions

Pairwise comparisons after a test for given proportions

G-test for binary variables

Cramer's association coefficient

Shapiro-Wilk multivariate normality test

Individual contributions in regression

multinomial.theo.multcomp

Pairwise comparisons after an exact multinomial test for given probabilities

pairwise.perm.t.test

Pairwise permutational t tests

pairwise.perm.manova

Pairwise permutational MANOVAs

Confidence intervals of a simple linear regression

Anova Tables for Cumulative Link (Mixed) Models

Histogram for factor levels

Pearson's Chi-squared test for binary variables

chisq.theo.multcomp

Pairwise comparisons after a chi-squared test for given probabilities

Tests for (semi-)partial association/correlation between paired samples

"Correlation" of variables to axes in MCA or mix analyses

Two-sample Cramer-von Mises test

Correlation circle of multivariate analyses

Trajectory plot of multivariate analyses

Estimation of overdispersion with glmer models

Sequence generation

Cross model validation

RVAideMemoire-package

Diverse Basic Statistical and Graphical Functions

Cochran's Q test

Expected counts for comparison of proportions to given values

QQ-plot for factor levels

Mood's median test

pairwise.G.test

Pairwise comparisons for proportions using G-tests

Multivariate normality QQ-Plot

wald.ptheo.test

Wald test for comparison of a proportion to a theoretical value

Type II permutational test for constrained multivariate analyses

Cross validation

Paired plot of multivariate analyses

pairwise.to.groups

Letter summary of similarities and differences

Permutational Pearson's correlation test

chisq.gof.multcomp

Pairwise comparisons after chi2 goodness-of-fit test

Simple analysis of model residuals

Comparison of simple linear regression slopes

wilcox.sign.test

Wilcoxon sign test

Significance test based on cross (model) validation

chisq.theo.bintest

Pearson's Chi-squared test for comparison of response probabilities to given values

Comparison of several Pearson's linear correlation coefficients

Loading plot of multivariate analyses

Biplot of multivariate analyses

Pairwise comparisons after a chi-squared goodness-of-fit test

Graphical adujstment of a simple binary logistic regression to data

Creating a nls model for logistic regression from fitted values of a glm model

Permutational Student's t-test

Synthesis quality of multivariate analyses

Score plot of multivariate analyses

Martingale residuals of a Cox model

Fisher's exact test for binary variables

multinomial.test

Exact multinomial test

multinomial.multcomp

Pairwise comparisons after an exact multinomial test

Observed rating frequencies

Weighted arithmetic mean

G.theo.multcomp

Pairwise comparisons after a G-test for given probabilities

Type II permutational MANOVA using distance matrices

QQ-plot for factor levels

Shapiro-Wilk test for factor levels

predict.coadisc

Predict method for CDA

prop.bin.multcomp

Pairwise comparisons after a test for given probabilities

Pairwise comparisons after a G-test

Shapiro-Wilk test for factor levels

Predict method for cross-validated submodels

Equality of a Pearson's linear correlation coefficient to a given value

Cramer's association coefficient

Comparison of simple linear least rectangles regression lines

wilcox.paired.multcomp

Pairwise Wilcoxon signed rank sum test

Proportions and standard errors

wilcox.signtest

Wilcoxon sign test

Back-transformation of LSMeans

pairwise.mood.medtest

Pairwise Mood's median tests

Permutational Analysis of Variance

Confidence interval of a Spearman's rank correlation coefficient

prop.multinom.test

Wald test for comparison of proportions

Permutational F test to compare two variances

fisher.multcomp

Pairwise comparisons using Fisher's exact test

Dendrogram and number of groups to be chosen

Coefficient of variation

Deprecated functions in RVAideMemoire package

Comparison of 2 Pearson's linear correlation coefficients

(Semi-)Partial correlation

User defined contrasts for LSMeans

Univariate comparison of groups for multiple variables

Dummy responses

Coordinates of projected points

Fligner-Policello test

Least rectangles linear regression

LSMeans for Cumulative Link (Mixed) Models

Variable Importance in the Projection (VIP)

perm.bartlett.test

Permutational Bartlett's test of homogeneity of variances

Common slope and comparison of simple linear regression intercepts

scat.mix.categorical

Representation of qualitative variables in Hill and Smith mix analysis

Pairwise comparisons for survival analysis.

Slope of a hand-defined line

Plotting of multivariate analyses

'esticon' results with corrected p-values

print.adjust.esticon

Comparison of 2 medians by Fisher's exact test

Expected counts for comparison of response probabilities to given values

Loadings of multivariate analyses

Correlations of multivariate analyses

Univariate correlation test for multiple variables

Univariate comparison of groups for multiple variables

spearman.cor.multcomp

Comparison of several Spearman's rank correlation coefficients

scat.mix.numeric

Representation of numeric variables in Hill and Smith mix analysis

Scores of multivariate analyses

Stars for p-values significance