The `c` function is extremely common. You CAN redefine this object as a numeric 
variable if you want but I strongly recommend against it. 

I don't recognize the function you are using to create cvfits, but it looks 
like the coef method for that object is not returning a numeric vector, so your 
comparison is with some other kind of object. 

Notice how ugly your code looks below... only you can fix this by setting your 
email program to send plain text to the mailing list. 
-- 
Sent from my phone. Please excuse my brevity.

On March 22, 2017 5:15:04 AM PDT, Allan Tanaka <allantanak...@yahoo.com> wrote:
>I'm trying to run the code: inds<-which(c != 0 ), but it gave me
>error: Error in base::which(x, arr.ind, useNames, ...) :   argument to
>'which' is not logical
>Here is code:
>alphas <- seq(0, 1, by=.002)mses <- numeric(501)mins <-
>numeric(501)maxes <- numeric(501)for(i in 1:501){  cvfits <-
>cv.glmnet(Train2, Train$Item_Outlet_Sales, alpha=alphas[i], nfolds=32) 
>loc <- which(cvfits$lambda==cvfits$lambda.min)  maxes[i] <-
>cvfits$lambda %>% max  mins[i] <- cvfits$lambda %>% min  mses[i] <-
>cvfits$cvm[loc]}`%ni%`<-Negate(`%in%`)c<-coef(cvfits,s='lambda.1se',exact=TRUE)inds<-which(c
>!= 0 )
>Here is the c content looks like: > c33 x 1 sparse Matrix of class
>"dgCMatrix"                                           1(Intercept)    
>                 7.476895931Item_Fat_Content.Low.Fat         .        
> Item_Fat_Content.Regular         .          Item_Type.Breads          
>      .          Item_Type.Breakfast              .        
> Item_Type.Canned                 0.003430669Item_Type.Dairy          
>      -0.022579673Item_Type.Frozen.Foods        
> -0.008216547Item_Type.Fruits.and.Vegetables  .        
> Item_Type.Hard.Drinks            .        
> Item_Type.Health.and.Hygiene     .          Item_Type.Household      
>       .          Item_Type.Meat                   .        
> Item_Type.Others                 .          Item_Type.Seafood        
>       .          Item_Type.Snack.Foods            .        
> Item_Type.Soft.Drinks            .          Item_Type.Starchy.Foods  
>       .          Outlet_Establishment_Year.1987
> -0.345927916Outlet_Establishment_Year.1997  
>1.692678186Outlet_Establishment_Year.1998
> -2.259508290Outlet_Establishment_Year.1999   .        
> Outlet_Establishment_Year.2002
> -0.032971913Outlet_Establishment_Year.2004  
>1.756230495Outlet_Establishment_Year.2007   .        
> Outlet_Establishment_Year.2009  -0.549210057Outlet_Size.Medium        
>      0.056897825Outlet_Size.Small              
>-1.706006538Outlet_Location_Type.Tier.3    
> 0.373456218Item_Identifier_CombinedFD       .          Item_MRP      
>                  0.505435352Item_Weight                      .        
> Item_Visibility_MeanRatio       -0.007274202
>       [[alternative HTML version deleted]]
>
>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to