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RVAideMemoire (version 0.9-35)

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

4,000

Version

0.9-35

License

GPL-2

Maintainer

Maxime Herv�

Last Published

March 14th, 2014

Functions in RVAideMemoire (0.9-35)

byf.hist

Histogram for factor levels
byf.shapiro

Shapiro-Wilk test for factor levels
PLSDA.VIP

Variable Importance in the Projection (VIP)
kruskal.rating.test

Kruskal-Wallis rank sum test for ratings
byf.normhist

Histogram and normal distribution for factor levels
plot1comp.ind

Plot of indiviuals and their class on a single axis (component)
wilcox.rating.test

Wilcoxon rank sum and signed rank tests for ratings
G.test

G-test
byf.qqnorm

QQ-plot for factor levels
prop.multcomp

Pairwise comparisons after a test for given proportions
chisq.theo.multcomp

Pairwise comparisons after a chi-squared test for given probabilities
ind.contrib

Individual contributions in regression
perm.t.test

Permutational Student's t-test
chisq.multcomp

Pairwise comparisons after a chi-squared goodness-of-fit test
friedman.rating.test

Friedman rank sum test for ratings
chisq.exp

Expected counts for comparison of proportions to given values
cox.resid

Martingale residuals of a Cox model
se

Standard error of the mean
rating.prob

Observed rating frequencies
wilcox.signtest

Wilcoxon sign test
byf.mshapiro

Shapiro-Wilk test for factor levels
G.theo.multcomp

Pairwise comparisons after a G-test for given probabilities
cv

Coefficient of variation
byf.mqqnorm

QQ-plot for factor levels
seq2

Sequence generation
scat.mix.numeric

Representation of numeric variables in Hill and Smith mix analysis
user.cont

User defined contrasts for LSMeans
logis.fit

Graphical adujstment of a simple binary logistic regression to data
cochran.qtest

Cochran's Q test
perm.var.test

Permutational F test to compare two variances
perm.bartlett.test

Permutational Bartlett's test of homogeneity of variances
spearman.ci

Confidence interval of a Spearman's rank correlation coefficient
PLSDA.test

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

Shapiro-Wilk multivariate normality test
fc.multcomp

Pairwise comparisons for the interaction between a factor and a covariate
cor.conf

Equality of a Pearson's linear correlation coefficient to a given value
cor.2comp

Comparison of 2 Pearson's linear correlation coefficients
wilcox.paired.rating.multcomp

Non parametric pairwise comparisons for paired ratings
scat.mix.categorical

Representation of qualitative variables in Hill and Smith mix analysis
RVAideMemoire-package

Diverse basic statistical and graphical functions
fisher.multcomp

Pairwise comparisons after a test for independence of 2 categorical variables
mod

Mode
overdisp.glmer

Estimation of overdispersion with glmer models
pairwise.perm.t.test

Pairwise permutational t tests
least.rect

Least rectangles linear regression
pairwise.manova

Pairwise MANOVAs
plotresid

Simple analysis of model residuals
bootstrap

Bootstrap
plot1comp.var

Plot of correlation between predictor variables and a single component
wilcox.rating.signtest

Wilcoxon sign test for ratings
Anova.clm

Anova Tables for Cumulative Link (Mixed) Models
LDA.format

Re-formating LDA data
logis.noise

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

LSMeans for Cumulative Link (Mixed) Models
perm.cor.test

Permutational Pearson's correlation test
perm.anova

Permutational Analysis of Variance
reg.ci

Confidence intervals of a simple linear regression
DA.var

Explained variance in Discriminant Analysis
DA.confusion

Classification error rate of a Discriminant Analysis
PLSDA.ncomp

Graphical help to number of components selection in PLS-DA
G.multcomp

Pairwise comparisons after a G-test
dendro.gp

Dendrogram and number of groups to be chosen
chisq.bintest

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

Cramer's association coefficient
mqqnorm

Multivariate normality QQ-Plot
pairwise.wilcox.rating.test

Pairwise comparisons for ratings using Wilcoxon rank sum tests
plotsurvivors

Survivor curve
DA.valid

Cross-validation in Discriminant Analysis
cor.multcomp

Comparison of several Pearson's linear correlation coefficients
pairwise.G.test

Pairwise comparisons for proportions using G-tests
wilcox.paired.multcomp

Non parametric pairwise comparisons for paired data