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RVAideMemoire (version 0.9-32)

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

4,870

Version

0.9-32

License

GPL-2

Maintainer

Maxime Herv�

Last Published

March 4th, 2014

Functions in RVAideMemoire (0.9-32)

PLSDA.test

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

Histogram and normal distribution for factor levels
logis.fit

Graphical adujstment of a simple binary logistic regression to data
scat.mix.numeric

Representation of numeric variables in Hill and Smith mix analysis
perm.cor.test

Permutational Pearson's correlation test
print.byf.test

Print method
G.theo.multcomp

Pairwise comparisons after a G-test for given probabilities
dendro.gp

Dendrogram and number of groups to be chosen
mod

Mode
DA.var

Explained variance in Discriminant Analysis
pairwise.perm.t.test

Pairwise permutational t tests
user.cont

User defined contrasts for LSMeans
summary.least.rect

Summary method for least rectangles linear regression
cochran.qtest

Cochran's Q test
pairwise.G.test

Pairwise comparisons for proportions using G-tests
cv

Coefficient of variation
reg.ci

Confidence intervals of a simple linear regression
seq2

Sequence generation
cramer.test

Cramer's association coefficient
byf.hist

Histogram for factor levels
byf.mshapiro

Shapiro-Wilk test for factor levels
G.test

G-test
chisq.theo.multcomp

Pairwise comparisons after a chi-squared test for given probabilities
perm.bartlett.test

Permutational Bartlett's test of homogeneity of variances
print.RV.multcomp

Print method
DA.valid

Cross-validation in Discriminant Analysis
byf.shapiro

Shapiro-Wilk test for factor levels
fc.multcomp

Pairwise comparisons for the interaction between a factor and a covariate
fisher.multcomp

Pairwise comparisons after a test for independence of 2 categorical variables
least.rect

Least rectangles linear regression
overdisp.glmer

perm.t.test

Permutational Student's t-test
plot1comp.ind

Plot of indiviuals and their class on a single axis (component)
wilcox.paired.multcomp

Non parametric pairwise comparisons for paired data
mshapiro.test

Shapiro-Wilk multivariate normality test
cor.2comp

Comparison of 2 Pearson's linear correlation coefficients
PLSDA.VIP

Variable Importance in the Projection (VIP)
chisq.bintest

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

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

Re-formating LDA data
G.multcomp

Pairwise comparisons after a G-test
RVAideMemoire-package

Diverse basic statistical and graphical functions
cor.multcomp

Comparison of several Pearson's linear correlation coefficients
perm.anova

Permutational Analysis of Variance
plot1comp.var

Plot of correlation between predictor variables and a single component
print.RVtest

Print method
prop.multcomp

Pairwise comparisons after a test for given proportions
se

Standard error of the mean
PLSDA.ncomp

Graphical help to number of components selection in PLS-DA
bootstrap

Bootstrap
byf.mqqnorm

QQ-plot for factor levels
byf.qqnorm

QQ-plot for factor levels
cox.resid

Martingale residuals of a Cox model
plotsurvivors

Survivor curve
spearman.ci

Confidence interval of a Spearman's rank correlation coefficient
wilcox.signtest

Wilcoxon sign test
scat.mix.categorical

Representation of qualitative variables in Hill and Smith mix analysis
chisq.exp

Expected counts for comparison of proportions to given values
DA.confusion

Classification error rate of a Discriminant Analysis
chisq.multcomp

Pairwise comparisons after a chi-squared goodness-of-fit test
ind.contrib

Individual contributions in regression
logis.noise

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

Pairwise MANOVAs
perm.var.test

Permutational F test to compare two variances
plotresid

Simple analysis of model residuals
predict.least.rect

Predict method for least rectangles linear regression
mqqnorm

Multivariate normality QQ-Plot