plot.clogitLasso: Plot coefficients from a 'clogitLasso' object

In clogitLasso: Sparse Conditional Logistic Regression for Matched Studies

Description

Plot the parameter profile associated clogitLasso object

Usage

## S3 method for class 'clogitLasso'
plot(x, logLambda = TRUE, add.legend = FALSE,
  add.labels = TRUE, lty = 1:ncol(x$beta), col = 1:ncol(x$beta), ...)

Arguments

x	an objet of type clogitLasso
logLambda	Set to TRUE if the horizontal axis is on log scale
add.legend	Take the value TRUE if legend should be printed in top right hand corner
add.labels	set to TRUE if labels are to be added to curves at leftmost side
lty	Same to lty parameter of plot function
col	Same to col parameter of plot function
...	additional arguments to plot function

Author(s)

Marta Avalos, Helene Pouyes, Marius Kwemou and Binbin Xu

References

Avalos, M., Pouyes, H., Grandvalet, Y., Orriols, L., & Lagarde, E. (2015). Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm. BMC bioinformatics, 16(6), S1. doi: 10.1186/1471-2105-16-S6-S1.

Examples

## Not run: 
 # generate data
 y <- rep(c(1,0), 100)
 X <- matrix (rnorm(20000, 0, 1), ncol = 100) # pure noise
 strata <- sort(rep(1:100, 2))

 fitLasso <- clogitLasso(X,y,strata,log=TRUE)
 # plot
 plot(fitLasso)

## End(Not run)

Example output

fraction  40 
fraction  80 

clogitLasso documentation built on May 2, 2019, 1:10 p.m.