In livioivil/flip: Multivariate Permutation Tests

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

Welcome to the dev-version of the

library flip on CRAN

Set up

To install this github version type (in R):

#if devtools is not installed yet: 
# install.packages("devtools") 
library(devtools)
install_github("livioivil/flip")

Some examples

library(flip)

A univariate analysis

Testing the symmetry around 0 in a one sample (i.e. equivalent to one sample t-test)

set.seed(1)
y=rnorm(10)+.5
res=flip(y)
summary(res)

and ploting

plot(res) # same ad hist(res)

A multivarite analysis

set.seed(1)
df=data.frame(y1=rnorm(10)+.5,y2=rnorm(10))
res=flip(~.,data=df)
summary(res)
plot(res)

Which is different from ploting

##set the following if you get an error (mostly using Rstudio)
#par(mar=c(1,1,1,1))
hist(res)

References

For the general framework of univariate and multivariate permutation tests see:

Pesarin, F. (2001) Multivariate Permutation Tests with Applications in Biostatistics. Wiley, New York.

For analysis of mixed-models see:

L. Finos and D. Basso (2014) Permutation Tests for Between-Unit Fixed Effectsin Multivariate Generalized Linear Mixed Models. Statistics and Computing. Volume 24, Issue 6, pp 941-952. DOI: 10.1007/s11222-013-9412-6

D. Basso, L. Finos (2011) Exact Multivariate Permutation Tests for Fixed Effects in Mixed-Models. Communications in Statistics - Theory and Methods. DOI 10.1080/03610926.2011.627103

For Rotation tests see:

Langsrud, O. (2005) Rotation tests, Statistics and Computing, 15, 1, 53-60

A. Solari, L. Finos, J.J. Goeman (2014) Rotation-based multiple testing in the multivariate linear model. Biometrics. Accepted

The colors of the plots of library flip are mostly taken from display.wes.palette(5, "Darjeeling") of library(wesanderson).