Re: [R] argument to 'which' is not logical

2017-03-23 Thread S Ellison 
> 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

Your coefficients are not a numeric vector. You'll have to sort that out by 
extracting or testing the individual values. A look at your output _tells you_ 
that the object is a sparse matrix of class dgCMatrix . Looking that up would 
tell you that the nonzero elements are in slot x of the object. So it may be 
unnecessary to ask which are zero; maybe you just need c@x (though I also would 
recommend you avoid using common function names as variable names)

If you do need to test elements for zeroes, though, note that '==' and '!=' are 
not usually recommended for comparisons with zero owing to finite numerical 
representation. So that may well be unwise. See the Note in ?'=='.

S Ellison



> 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_Fa
> t_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.S
> oft.Drinks            .          Item_Type.Starchy.Foods          .          
> Outlet_Establishm
> ent_Year.1987  -
> 0.345927916Outlet_Establishment_Year.1997   1.692678186Outlet_Establishm
> ent_Year.1998  -
> 2.259508290Outlet_Establishment_Year.1999   .          Outlet_Establishment_Y
> ear.2002  -
> 0.032971913Outlet_Establishment_Year.2004   1.756230495Outlet_Establishm
> ent_Year.2007   .          Outlet_Establishment_Year.2009  -
> 0.549210057Outlet_Size.Medium               0.056897825Outlet_Size.Small
>  -
> 1.706006538Outlet_Location_Type.Tier.3      0.373456218Item_Identifier_Com
> binedFD       .          Item_MRP                         
> 0.505435352Item_Weight
> .          Item_Visibility_MeanRatio       -0.007274202
>   [[alternative HTML version deleted]]
> 
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Re: [R] argument to 'which' is not logical

2017-03-22 Thread Jeff Newmiller 
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  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.

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