title: Getting glmnet coefficients at 'best' lambda
body: <p>I am using following code with glmnet: </p>
  
  <pre><code>&gt; library(glmnet)
  &gt; fit = glmnet(as.matrix(mtcars[-1]), mtcars[,1])
  &gt; plot(fit, xvar='lambda')
  </code></pre>
  
  <p><img src="https://i.stack.imgur.com/cr0Zp.png" alt="enter image description here"></p>
  
  <p>However, I want to print out the coefficients at best Lambda, like it is done in ridge regression. I see following structure of fit: </p>
  
  <pre><code>&gt; str(fit)
  List of 12
   $ a0       : Named num [1:79] 20.1 21.6 23.2 24.7 26 ...
    ..- attr(*, "names")= chr [1:79] "s0" "s1" "s2" "s3" ...
   $ beta     :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
    .. ..@ i       : int [1:561] 0 4 0 4 0 4 0 4 0 4 ...
    .. ..@ p       : int [1:80] 0 0 2 4 6 8 10 12 14 16 ...
    .. ..@ Dim     : int [1:2] 10 79
    .. ..@ Dimnames:List of 2
    .. .. ..$ : chr [1:10] "cyl" "disp" "hp" "drat" ...
    .. .. ..$ : chr [1:79] "s0" "s1" "s2" "s3" ...
    .. ..@ x       : num [1:561] -0.0119 -0.4578 -0.1448 -0.7006 -0.2659 ...
    .. ..@ factors : list()
   $ df       : int [1:79] 0 2 2 2 2 2 2 2 2 3 ...
   $ dim      : int [1:2] 10 79
   $ lambda   : num [1:79] 5.15 4.69 4.27 3.89 3.55 ...
   $ dev.ratio: num [1:79] 0 0.129 0.248 0.347 0.429 ...
   $ nulldev  : num 1126
   $ npasses  : int 1226
   $ jerr     : int 0
   $ offset   : logi FALSE
   $ call     : language glmnet(x = as.matrix(mtcars[-1]), y = mtcars[, 1])
   $ nobs     : int 32
   - attr(*, "class")= chr [1:2] "elnet" "glmnet"
  </code></pre>
  
  <p>But I am not able to get the best Lambda and the corresponding coefficients. Thanks for your help.</p>