dfCompile.cv.glmnet: Create visualization matrix for a cv.glmnet object
In benjaminleroy/ggDiagnose: Wrapper for Diagnostic Plots with ggplot2

Description Usage Arguments Details Value See Also Examples

Create visualization matrix for a cv.glmnet object

1	dfCompile.cv.glmnet(x)

`x`	cv.glmnet object from library 'glmnet'

data frame returned has the following columns:

.log.lambda: the log of the values of lambda used in the fit
cross.validated.error: error accumulated over across k folds of the cross validation for each .log.lambda
cross.validation.upper.error: cross.validation.error plus an estimate of the standard error of the cross.validation.error relative to the K-fold CV
cross.validation.lower.error: cross.validation.error minus an estimate of the standard error of the cross.validation.error relative to the K-fold CV
number.non.zero: number of non-zero coeffiecients at each .log.lambda

data frame, see details.

broom's tidy and use with the same object.

library(tidyverse)
library(glmnet)
cv.glmnet.object <- cv.glmnet(y = iris$Sepal.Length,
                              x = model.matrix(Sepal.Length~., data = iris))

dfCompile.cv.glmnet(cv.glmnet.object) %>% head