Plot of the LASSO coefficients {Compositional} R Documentation

## Plot of the LASSO coefficients

### Description

Plot of the LASSO coefficients.

### Usage

```lassocoef.plot(lasso, lambda = TRUE)
```

### Arguments

 `lasso` An object where you have saved the result of the LASSO regression. See the examples for more details. `lambda` If you want the x-axis to contain the logarithm of the penalty parameter \log(λ) set this to TRUE. Otherwise the x-axis will contain the L_1-norm of the coefficients.

### Details

This function plots the L_2-norm of the coefficients of each predictor variable versus the \log(λ) or the L_1-norm of the coefficients. This is the same plot as the one produced by the glmnet package with type.coef = "2norm".

### Value

A plot of the L_2-norm of the coefficients of each predictor variable (y-axis) versus the L_1-norm of all the coefficients (x-axis).

### Author(s)

Michail Tsagris and Abdulaziz Alenazi.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Abdulaziz Alenazi a.alenazi@nbu.edu.sa. a.alenazi@nbu.edu.sa.

### References

Friedman, J., Hastie, T. and Tibshirani, R. (2010) Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software, Vol. 33(1), 1-22.

```lasso.klcompreg, cv.lasso.klcompreg, lasso.compreg, cv.lasso.compreg, kl.compreg, comp.reg ```

### Examples

```y <- as.matrix(iris[, 1:4])
y <- y / rowSums(y)
x <- matrix( rnorm(150 * 30), ncol = 30 )
a <- lasso.klcompreg(y, x)
lassocoef.plot(a)
b <- lasso.compreg(y, x)
lassocoef.plot(b)
```

[Package Compositional version 5.2 Index]