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RVAideMemoire (version 0.9-31)

Diverse basic statistical and graphical functions

Description

This package contains diverse more or less complicated functions, written to simplify user's life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools, bridges between functions of different packages... 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.

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Version

Install

install.packages('RVAideMemoire')

Monthly Downloads

4,081

Version

0.9-31

License

GPL-2

Maintainer

Maxime Herv�

Last Published

January 26th, 2014

Functions in RVAideMemoire (0.9-31)

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

RVAideMemoire-package

Diverse basic statistical and graphical functions

fisher.multcomp

Pairwise comparisons after a test for independence of 2 categorical variables

Dendrogram and number of groups to be chosen

Estimation of overdispersion with glmer models

wilcox.paired.multcomp

Non parametric pairwise comparisons for paired data

Cross-validation in Discriminant Analysis

Histogram and normal distribution for factor levels

Pearson's Chi-squared test or Fisher's exact test for binary variables

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

Histogram for factor levels

Multivariate normality QQ-Plot

scat.mix.categorical

Representation of qualitative variables in Hill and Smith mix analysis

QQ-plot for factor levels

Comparison of 2 Pearson's linear correlation coefficients

perm.bartlett.test

Permutational Bartlett's test of homogeneity of variances

Comparison of several Pearson's linear correlation coefficients

G.theo.multcomp

Pairwise comparisons after a G-test for given probabilities

Shapiro-Wilk multivariate normality test

Pairwise comparisons for the interaction between a factor and a covariate

Simple analysis of model residuals

QQ-plot for factor levels

Cramer's association coefficient

LSMeans and SE on the scale of the response variable

Graphical adujstment of a simple binary logistic regression to data

Permutational Student's t-test

Confidence interval of a Spearman's rank correlation coefficient

Explained variance in Discriminant Analysis

Pairwise comparisons after a G-test

Shapiro-Wilk test for factor levels

Cochran's Q test

Coefficient of variation

wilcox.signtest

Wilcoxon sign test

scat.mix.numeric

Representation of numeric variables in Hill and Smith mix analysis

Plot of correlation between predictor variables and a single component

Plot of indiviuals and their class on a single axis (component)

Re-formating LDA data

Martingale residuals of a Cox model

Shapiro-Wilk test for factor levels

Permutational Pearson's correlation test

Permutational F test to compare two variances

Confidence intervals of a simple linear regression

summary.least.rect

Summary method for least rectangles linear regression

pairwise.G.test

Pairwise comparisons for proportions using G-tests

predict.least.rect

Predict method for least rectangles linear regression

Permutational test for the discriminant ability of the factor in PLS-DA

chisq.theo.multcomp

Pairwise comparisons after a chi-squared test for given probabilities

Permutational Analysis of Variance

Least rectangles linear regression

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

Graphical help to number of components selection in PLS-DA

pairwise.manova

Pairwise MANOVAs

Standard error of the mean

Sequence generation

print.RV.multcomp

Classification error rate of a Discriminant Analysis

Variable Importance in the Projection (VIP)

Individual contributions in regression

Expected counts for comparison of proportions to given values

pairwise.perm.t.test

Pairwise permutational t tests

User defined contrasts for LSMeans

Pairwise comparisons after a test for given proportions