[R] Help with the Error Message in R "Error in 1:nchid : result would be too long a vector"

David Winsemius dw|n@em|u@ @end|ng |rom comc@@t@net
Tue Sep 22 01:20:54 CEST 2020


@Rahul;


You need to learn to post in plain text and attachments may not be xls 
or xlsx. They need to be text files. And even if they are comma 
separated files and text, they still need to be named with a txt extension.


I'm the only one who got the xlsx file. I got the error regardless of 
how many column I omitted, so my gues was possibly incorrect. But I did 
RTFM. See ?mlogit.datadfi The mlogit.data function is deprecated and you 
are told to use the dfidx function. Trying that you now get an error 
saying: " the two indexes don't define unique observations".


 > sum(duplicated( dfrm[,1:2]))
[1] 12
 > length(dfrm[,1])
[1] 18

So of your 18 lines in the example file, most of them appear to be 
duplicated in their first two rows and apparently that is not allowed by 
dfidx.


Caveat: I'm not a user of the mlogit package so I'm just reading the 
manual and possibly coming up with informed speculation.

Please read the Posting Guide. You have been warned. Repeated violations 
of the policies laid down in that hallowed document will possibly result 
in postings being ignored.

-- 


David

On 9/21/20 2:19 PM, Rahul Chakraborty wrote:
> Hello,
>
> I tried to reduce the size of my dataframe. Now I have 57 columns of 
> which 29 are already dummy coded. If I run *mldata1<- 
> mlogit.data(mydata1, shape = "long", alt.var = "Alt_name", choice = 
> "Choice_binary", id.var = "IND") *it still gives me the same error 
> message-* Error in 1:nchid : result would be too long a vector. *
> *
> *
> I will not use all of those variables in one regression model, but I 
> need those for different model specifications. The Excel file I 
> created from my survey looks like the attached file. The main data is 
> a panel of 516 individuals each answering 9 questions over 3 alternatives.
>
> Following is the output of the summary of the dataframe.
>
> summary(mydata1)
>       IND             QES         STR          ALT_name   Choice_binary
>  Min.   :  1.0   Min.   :1   Min.   :  101   Length:13932   Min.   
> :0.0000
>  1st Qu.:129.8   1st Qu.:3   1st Qu.:12978   Class :character   1st 
> Qu.:0.0000
>  Median :258.5   Median :5   Median :25855   Mode  :character   Median 
> :0.0000
>  Mean   :258.5   Mean   :5   Mean   :25855  Mean   :0.3333
>  3rd Qu.:387.2   3rd Qu.:7   3rd Qu.:38732  3rd Qu.:1.0000
>  Max.   :516.0   Max.   :9   Max.   :51609  Max.   :1.0000
>      Price       Refuel_availability Registration_charges  Running_cost
>  Min.   : 9.00   Min.   :0.25        Min.   :0.00000      Min.   :115.0
>  1st Qu.:10.00   1st Qu.:0.75        1st Qu.:0.04000      1st Qu.:192.0
>  Median :10.00   Median :0.90        Median :0.06000  Median :268.0
>  Mean   :10.33   Mean   :0.80        Mean   :0.05333      Mean   :268.2
>  3rd Qu.:11.00   3rd Qu.:1.00        3rd Qu.:0.08000      3rd Qu.:383.0
>  Max.   :12.00   Max.   :1.00        Max.   :0.08000      Max.   :383.0
>   Market_share    Friends_share     Refuel_time       Emission
>  Min.   :0.0500   Min.   :0.0000   Min.   : 5.00   Min. :0.0000
>  1st Qu.:0.1500   1st Qu.:0.1500   1st Qu.: 5.00   1st Qu.:0.0000
>  Median :0.2500   Median :0.3000   Median : 5.00   Median :0.7500
>  Mean   :0.3333   Mean   :0.3333   Mean   :13.33   Mean :0.5833
>  3rd Qu.:0.6000   3rd Qu.:0.5500   3rd Qu.:30.00   3rd Qu.:1.0000
>  Max.   :0.9000   Max.   :1.0000   Max.   :30.00   Max. :1.0000
>       Sex              Age2             Age3             Age4
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min. :0.0000
>  1st Qu.:1.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000
>  Median :1.0000   Median :0.0000   Median :0.0000   Median :0.0000
>  Mean   :0.7791   Mean   :0.4574   Mean   :0.2326   Mean :0.1531
>  3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:0.0000
>  Max.   :1.0000   Max.   :1.0000   Max.   :1.0000   Max. :1.0000
>      Edu_PG          Edu_Oth          Occu_Pvt        Occu_Pub
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.000   Min. :0.0000
>  1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.000   1st Qu.:0.0000
>  Median :0.0000   Median :0.0000   Median :0.000   Median :0.0000
>  Mean   :0.4147   Mean   :0.1841   Mean   :0.376   Mean :0.2733
>  3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:1.000   3rd Qu.:1.0000
>  Max.   :1.0000   Max.   :1.0000   Max.   :1.000   Max. :1.0000
>     Occu_SE       Location_metro   Location_majorcity      Ahm
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.0000     Min. :0.00000
>  1st Qu.:0.0000   1st Qu.:1.0000   1st Qu.:0.0000     1st Qu.:0.00000
>  Median :0.0000   Median :1.0000   Median :0.0000     Median :0.00000
>  Mean   :0.2655   Mean   :0.7655   Mean   :0.1453     Mean :0.04457
>  3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:0.0000     3rd Qu.:0.00000
>  Max.   :1.0000   Max.   :1.0000   Max.   :1.0000     Max. :1.00000
>       Ben               Chen              NCR              Hyd
>  Min.   :0.00000   Min.   :0.00000   Min.   :0.0000   Min. :0.00000
>  1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.0000   1st Qu.:0.00000
>  Median :0.00000   Median :0.00000   Median :0.0000   Median :0.00000
>  Mean   :0.06977   Mean   :0.04651   Mean   :0.2558   Mean :0.03682
>  3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:1.0000   3rd Qu.:0.00000
>  Max.   :1.00000   Max.   :1.00000   Max.   :1.0000   Max. :1.00000
>       Kol              Mum            MajCity          HH_size
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min.   : 1.000
>  1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.: 3.000
>  Median :0.0000   Median :0.0000   Median :0.0000   Median : 5.000
>  Mean   :0.2016   Mean   :0.1105   Mean   :0.1453   Mean   : 4.463
>  3rd Qu.:0.0000   3rd Qu.:0.0000   3rd Qu.:0.0000   3rd Qu.: 6.000
>  Max.   :1.0000   Max.   :1.0000   Max.   :1.0000   Max. :10.000
>     Children           IG2              IG3              IG4
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min. :0.0000
>  1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000
>  Median :1.0000   Median :0.0000   Median :0.0000   Median :0.0000
>  Mean   :0.8721   Mean   :0.3818   Mean   :0.4109   Mean :0.1841
>  3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:0.0000
>  Max.   :4.0000   Max.   :1.0000   Max.   :1.0000   Max. :1.0000
>     HH_cars       PPC_morethan10   Daily_travel_medium Daily_travel_long
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.0000      Min. :0.00000
>  1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000      1st Qu.:0.00000
>  Median :0.0000   Median :0.0000   Median :0.0000      Median :0.00000
>  Mean   :0.4864   Mean   :0.4516   Mean   :0.3702      Mean :0.02713
>  3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:1.0000      3rd Qu.:0.00000
>  Max.   :3.0000   Max.   :1.0000   Max.   :1.0000      Max. :1.00000
>     Garage_y           DL_y          Own_accom  Freerider_tot
>  Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min. :2.000
>  1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:2.000
>  Median :1.0000   Median :1.0000   Median :1.0000   Median :2.000
>  Mean   :0.7267   Mean   :0.6357   Mean   :0.6647   Mean :2.244
>  3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:2.000
>  Max.   :1.0000   Max.   :1.0000   Max.   :1.0000   Max. :8.000
>  Satisfaction_tot Political_view   WTP_env_tot  Warmglow_tot     
>  Standout
>  Min.   : 2.000   Min.   :1.000   Min.   : 2.000   Min.   : 2.00   
> Min.   :1.000
>  1st Qu.: 3.000   1st Qu.:3.000   1st Qu.: 7.000   1st Qu.: 6.00   1st 
> Qu.:2.000
>  Median : 4.000   Median :3.000   Median : 8.000   Median : 8.00   
> Median :3.000
>  Mean   : 4.264   Mean   :3.258   Mean   : 8.124   Mean   : 7.61   
> Mean   :2.657
>  3rd Qu.: 5.000   3rd Qu.:4.000   3rd Qu.: 9.000   3rd Qu.: 9.00   3rd 
> Qu.:3.000
>  Max.   :10.000   Max.   :5.000   Max.   :10.000   Max. :10.00   Max. 
>   :5.000
>  Acceptance_new Climate_perception    Env_pref  Tech_leader
>  Min.   :1.0    Min.   :1.000      Min.   :1.000   Min.   :1.0
>  1st Qu.:2.0    1st Qu.:4.000      1st Qu.:2.000   1st Qu.:2.0
>  Median :3.0    Median :5.000      Median :3.000   Median :2.0
>  Mean   :2.8    Mean   :4.483      Mean   :3.093   Mean   :2.5
>  3rd Qu.:4.0    3rd Qu.:5.000      3rd Qu.:4.000   3rd Qu.:3.0
>  Max.   :5.0    Max.   :5.000      Max.   :5.000   Max.   :5.0
>  Social_motivation_tot  EV_risk_tot     EV_awareness_tot
>  Min.   : 3.00         Min.   : 2.000   Min.   : 3.000
>  1st Qu.: 9.00         1st Qu.: 8.000   1st Qu.: 4.000
>  Median :11.00         Median : 9.000   Median : 5.000
>  Mean   :10.62         Mean   : 8.661   Mean   : 5.419
>  3rd Qu.:12.00         3rd Qu.:10.000   3rd Qu.: 6.000
>  Max.   :15.00         Max.   :10.000   Max.   :15.000
>
> On Tue, Sep 22, 2020 at 2:07 AM Rahul Chakraborty 
> <chakrarahul using gmail.com <mailto:chakrarahul using gmail.com>> wrote:
>
>     Hello,
>
>     Here is the result of summary(mydata)
>
>     summary(mydata)
>           IND            Block            QES         STR         ALT
>      Min.   :  1.0   Min.   :1.000   Min.   :1   Min.   :  101   Min.
>       :1
>      1st Qu.:129.8   1st Qu.:1.000   1st Qu.:3   1st Qu.:12978   1st
>     Qu.:1
>      Median :258.5   Median :2.000   Median :5   Median :25855  
>     Median :2
>      Mean   :258.5   Mean   :2.467   Mean   :5   Mean   :25855   Mean
>       :2
>      3rd Qu.:387.2   3rd Qu.:4.000   3rd Qu.:7   3rd Qu.:38732   3rd
>     Qu.:3
>      Max.   :516.0   Max.   :4.000   Max.   :9   Max.   :51609   Max.
>       :3
>        ALT_name              ASC             Choice  Choice_binary
>      Length:13932       Min.   :0.0000   Min.   :1.000   Min.   :0.0000
>      Class :character   1st Qu.:0.0000   1st Qu.:1.000   1st Qu.:0.0000
>      Mode  :character   Median :1.0000   Median :1.000 Median :0.0000
>                         Mean   :0.6667   Mean   :1.626   Mean   :0.3333
>                         3rd Qu.:1.0000   3rd Qu.:2.000   3rd Qu.:1.0000
>                         Max.   :1.0000   Max.   :3.000   Max.   :1.0000
>          Price       Refuel_availability Registration_charges
>      Running_cost
>      Min.   : 9.00   Min.   :0.25        Min.   :0.00000  Min.   :115.0
>      1st Qu.:10.00   1st Qu.:0.75        1st Qu.:0.04000  1st Qu.:192.0
>      Median :10.00   Median :0.90        Median :0.06000  Median :268.0
>      Mean   :10.33   Mean   :0.80        Mean   :0.05333  Mean   :268.2
>      3rd Qu.:11.00   3rd Qu.:1.00        3rd Qu.:0.08000  3rd Qu.:383.0
>      Max.   :12.00   Max.   :1.00        Max.   :0.08000  Max.   :383.0
>       Market_share    Friends_share     Refuel_time Emission
>      Min.   :0.0500   Min.   :0.0000   Min.   : 5.00   Min. :0.0000
>      1st Qu.:0.1500   1st Qu.:0.1500   1st Qu.: 5.00   1st Qu.:0.0000
>      Median :0.2500   Median :0.3000   Median : 5.00   Median :0.7500
>      Mean   :0.3333   Mean   :0.3333   Mean   :13.33   Mean :0.5833
>      3rd Qu.:0.6000   3rd Qu.:0.5500   3rd Qu.:30.00   3rd Qu.:1.0000
>      Max.   :0.9000   Max.   :1.0000   Max.   :30.00   Max. :1.0000
>           Sex              Age2             Age3 Age4
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min. :0.0000
>      1st Qu.:1.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000
>      Median :1.0000   Median :0.0000   Median :0.0000   Median :0.0000
>      Mean   :0.7791   Mean   :0.4574   Mean   :0.2326   Mean :0.1531
>      3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:0.0000
>      Max.   :1.0000   Max.   :1.0000   Max.   :1.0000   Max. :1.0000
>          Edu_PG          Edu_Oth          Occu_Pvt  Occu_Pub
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.000   Min. :0.0000
>      1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.000   1st Qu.:0.0000
>      Median :0.0000   Median :0.0000   Median :0.000   Median :0.0000
>      Mean   :0.4147   Mean   :0.1841   Mean   :0.376   Mean :0.2733
>      3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:1.000   3rd Qu.:1.0000
>      Max.   :1.0000   Max.   :1.0000   Max.   :1.000   Max. :1.0000
>         Occu_SE       Location_metro   Location_majorcity  Ahm
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.0000     Min.   :0.00000
>      1st Qu.:0.0000   1st Qu.:1.0000   1st Qu.:0.0000     1st Qu.:0.00000
>      Median :0.0000   Median :1.0000   Median :0.0000 Median :0.00000
>      Mean   :0.2655   Mean   :0.7655   Mean   :0.1453     Mean   :0.04457
>      3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:0.0000     3rd Qu.:0.00000
>      Max.   :1.0000   Max.   :1.0000   Max.   :1.0000     Max.   :1.00000
>           Ben               Chen              NCR  Hyd
>      Min.   :0.00000   Min.   :0.00000   Min.   :0.0000   Min.   :0.00000
>      1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.0000   1st Qu.:0.00000
>      Median :0.00000   Median :0.00000   Median :0.0000 Median :0.00000
>      Mean   :0.06977   Mean   :0.04651   Mean   :0.2558   Mean   :0.03682
>      3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:1.0000   3rd Qu.:0.00000
>      Max.   :1.00000   Max.   :1.00000   Max.   :1.0000   Max.   :1.00000
>           Kol              Mum            MajCity  HH_size
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min. : 1.000
>      1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.: 3.000
>      Median :0.0000   Median :0.0000   Median :0.0000   Median : 5.000
>      Mean   :0.2016   Mean   :0.1105   Mean   :0.1453   Mean : 4.463
>      3rd Qu.:0.0000   3rd Qu.:0.0000   3rd Qu.:0.0000   3rd Qu.: 6.000
>      Max.   :1.0000   Max.   :1.0000   Max.   :1.0000   Max. :10.000
>         Children           IG2              IG3  IG4
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Min. :0.0000
>      1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000
>      Median :1.0000   Median :0.0000   Median :0.0000   Median :0.0000
>      Mean   :0.8721   Mean   :0.3818   Mean   :0.4109   Mean :0.1841
>      3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:0.0000
>      Max.   :4.0000   Max.   :1.0000   Max.   :1.0000   Max. :1.0000
>         HH_cars       PPC_morethan10      PPC_gr1 PPC_gr2
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.000   Min. :0.00000
>      1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.000   1st Qu.:0.00000
>      Median :0.0000   Median :0.0000   Median :0.000   Median :0.00000
>      Mean   :0.4864   Mean   :0.4516   Mean   :0.405   Mean :0.04651
>      3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:1.000   3rd Qu.:0.00000
>      Max.   :3.0000   Max.   :1.0000   Max.   :1.000   Max. :1.00000
>        Body_Sedan        Body_SUV      Daily_travel_medium
>     Daily_travel_long
>      Min.   :0.0000   Min.   :0.0000   Min.   :0.0000  Min.   :0.00000
>      1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000      1st
>     Qu.:0.00000
>      Median :0.0000   Median :0.0000   Median :0.0000  Median :0.00000
>      Mean   :0.3178   Mean   :0.2364   Mean   :0.3702  Mean   :0.02713
>      3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:1.0000      3rd
>     Qu.:0.00000
>      Max.   :1.0000   Max.   :1.0000   Max.   :1.0000  Max.   :1.00000
>        Long_drive       Mode_Carpool        Mode_PB  Mode_PV
>      Min.   :0.00000   Min.   :0.00000   Min.   :0.0000   Min.   :0.0000
>      1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.0000   1st Qu.:0.0000
>      Median :0.00000   Median :0.00000   Median :0.0000 Median :0.0000
>      Mean   :0.03488   Mean   :0.02519   Mean   :0.2907   Mean   :0.4419
>      3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:1.0000   3rd Qu.:1.0000
>      Max.   :1.00000   Max.   :1.00000   Max.   :1.0000   Max.   :1.0000
>         Mode_WRC           Garage_y           DL_y  Own_accom
>      Min.   :0.000000   Min.   :0.0000   Min.   :0.0000   Min.   :0.0000
>      1st Qu.:0.000000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000
>      Median :0.000000   Median :1.0000   Median :1.0000 Median :1.0000
>      Mean   :0.007752   Mean   :0.7267   Mean   :0.6357   Mean   :0.6647
>      3rd Qu.:0.000000   3rd Qu.:1.0000   3rd Qu.:1.0000   3rd Qu.:1.0000
>      Max.   :1.000000   Max.   :1.0000   Max.   :1.0000   Max.   :1.0000
>      Freerider_water_electricity Freerider_tot   Freerider_avg  
>     Satisfaction_tot
>      Min.   :1.000               Min.   :2.000   Min.   :1.000   Min.
>       : 2.000
>      1st Qu.:2.000               1st Qu.:2.000   1st Qu.:1.000   1st
>     Qu.: 3.000
>      Median :3.000               Median :2.000   Median :1.000  
>     Median : 4.000
>      Mean   :3.002               Mean   :2.244   Mean   :1.122   Mean
>       : 4.264
>      3rd Qu.:4.000               3rd Qu.:2.000   3rd Qu.:1.000   3rd
>     Qu.: 5.000
>      Max.   :5.000               Max.   :8.000   Max.   :4.000   Max.
>       :10.000
>      Satisfaction_avg Political_view  Meet_friends Meet_colleagues
>      Min.   :1.000    Min.   :1.000   Length:13932 Length:13932
>      1st Qu.:1.500    1st Qu.:3.000   Class :character   Class :character
>      Median :2.000    Median :3.000   Mode  :character   Mode  :character
>      Mean   :2.132    Mean   :3.258
>      3rd Qu.:2.500    3rd Qu.:4.000
>      Max.   :5.000    Max.   :5.000
>      Meet_relatives     Invite_colleagues  Invite_friends
>     Invite_relatives
>      Length:13932       Length:13932       Length:13932 Length:13932
>      Class :character   Class :character   Class :character Class
>     :character
>      Mode  :character   Mode  :character   Mode  :character Mode
>      :character
>
>
>
>      Lending_relatives  Lending_friends    Lending_colleagues
>      Length:13932       Length:13932       Length:13932
>      Class :character   Class :character   Class :character
>      Mode  :character   Mode  :character   Mode  :character
>
>
>
>      Willingness_Purchase_Env_frnd EVuse_pollution  WTP_env_tot    
>      WTP_env_avg
>      Min.   :1.000                 Min.   :1.000   Min.   : 2.000  
>     Min.   :1.000
>      1st Qu.:4.000                 1st Qu.:3.000   1st Qu.: 7.000  
>     1st Qu.:3.500
>      Median :4.000                 Median :4.000   Median : 8.000  
>     Median :4.000
>      Mean   :4.132                 Mean   :3.992   Mean   : 8.124  
>     Mean   :4.062
>      3rd Qu.:5.000                 3rd Qu.:5.000   3rd Qu.: 9.000  
>     3rd Qu.:4.500
>      Max.   :5.000                 Max.   :5.000   Max. :10.000   Max.
>       :5.000
>      Social_recognition Car_social_status  Warmglow_tot  Warmglow_avg
>      Min.   :1.000      Min.   :1.00      Min.   : 2.00   Min.   :1.000
>      1st Qu.:3.000      1st Qu.:4.00      1st Qu.: 6.00   1st Qu.:3.000
>      Median :4.000      Median :4.00      Median : 8.00 Median :4.000
>      Mean   :3.541      Mean   :4.07      Mean   : 7.61   Mean   :3.805
>      3rd Qu.:4.000      3rd Qu.:5.00      3rd Qu.: 9.00   3rd Qu.:4.500
>      Max.   :5.000      Max.   :5.00      Max.   :10.00   Max.   :5.000
>         Standout     Acceptance_new Climate_perception  Env_pref    
>      Tech_leader
>      Min.   :1.000   Min.   :1.0    Min.   :1.000      Min. :1.000  
>     Min.   :1.0
>      1st Qu.:2.000   1st Qu.:2.0    1st Qu.:4.000      1st Qu.:2.000  
>     1st Qu.:2.0
>      Median :3.000   Median :3.0    Median :5.000      Median :3.000  
>     Median :2.0
>      Mean   :2.657   Mean   :2.8    Mean   :4.483      Mean :3.093  
>     Mean   :2.5
>      3rd Qu.:3.000   3rd Qu.:4.0    3rd Qu.:5.000      3rd Qu.:4.000  
>     3rd Qu.:3.0
>      Max.   :5.000   Max.   :5.0    Max.   :5.000      Max. :5.000  
>     Max.   :5.0
>      Social_motivation_tot Social_motivation_avg Social_motivation_median
>      Min.   : 3.00         Min.   :1.000         Min.   :1.000
>      1st Qu.: 9.00         1st Qu.:3.000         1st Qu.:3.000
>      Median :11.00         Median :3.667         Median :3.000
>      Mean   :10.62         Mean   :3.539         Mean   :3.514
>      3rd Qu.:12.00         3rd Qu.:4.000         3rd Qu.:4.000
>      Max.   :15.00         Max.   :5.000         Max.   :5.000
>       EV_risk_tot      EV_risk_avg      EV_price EV_awareness_tot
>     EV_awareness_avg
>      Min.   : 2.000   Min.   :1.00   Min.   :1.000   Min.   : 3.000  
>     Min.   :1.000
>      1st Qu.: 8.000   1st Qu.:4.00   1st Qu.:1.000   1st Qu.: 4.000  
>     1st Qu.:1.333
>      Median : 9.000   Median :4.50   Median :2.000   Median : 5.000  
>     Median :1.667
>      Mean   : 8.661   Mean   :4.33   Mean   :2.244   Mean   : 5.419  
>     Mean   :1.806
>      3rd Qu.:10.000   3rd Qu.:5.00   3rd Qu.:3.000   3rd Qu.: 6.000  
>     3rd Qu.:2.000
>      Max.   :10.000   Max.   :5.00   Max.   :5.000   Max. :15.000  
>     Max.   :5.000
>      EV_awareness_median    Lost_env     Investment_trust Lottery1
>      Min.   :1.000       Min.   :1.000   Min.   :     0 Length:13932
>      1st Qu.:1.000       1st Qu.:5.000   1st Qu.:     0 Class :character
>      Median :2.000       Median :5.000   Median :     0   Mode
>      :character
>      Mean   :1.806       Mean   :4.913   Mean   :  1345
>      3rd Qu.:2.000       3rd Qu.:5.000   3rd Qu.:     0
>      Max.   :5.000       Max.   :5.000   Max.   :100000
>         Time1             Lottery2            Time2
>      Length:13932       Length:13932       Length:13932
>      Class :character   Class :character   Class :character
>      Mode  :character   Mode  :character   Mode  :character
>
>
>
>     Yes, I have many Likert items and many dummy variables. How do I
>     solve this issue?
>
>     Best regards,
>
>     On Tue, Sep 22, 2020 at 1:45 AM David Winsemius
>     <dwinsemius using comcast.net <mailto:dwinsemius using comcast.net>> wrote:
>
>         If you had included output of summary(mydata) we might be more
>         capable
>         of giving a fact-based answer but I'm guessing that you have a
>         lot of
>         catagorical variables with multiple levels and some sort of
>         combinatoric
>         explosion is resulting in too many levels of a constructed factor.
>
>
>         -- 
>
>         David.
>
>         On 9/21/20 12:55 PM, Rahul Chakraborty wrote:
>         > Hello everyone,
>         >
>         > I am using *mlogit* to analyse my choice experiment data. I
>         have *3
>         > alternatives* for each individual and for each individual I
>         have *9
>         > questions*. I have a response from *516 individuals*. So it
>         is a panel of
>         > 9*516 observations. I have arranged the data in long format
>         (it contains
>         > 100 columns indicating different variables and identifiers).
>         >
>         > In mlogit I tried the following command---
>         >
>         > *mldata<- mlogit.data(mydata, shape = "long", alt.var =
>         "Alt_name", choice
>         > = "Choice_binary", id.var = "IND")*
>         >
>         > It is giving me the following error message- Error in
>         1:nchid : result
>         > would be too long a vector
>         >
>         > Could you please help me with this? I don't think it is too
>         big a data 100
>         > ROWS*13932 columns. I faced no issue in Excel. I am stuck
>         due to this issue.
>         > Thanks in advance.
>         >
>         > -- Best Regards,
>         > Rahul Chakraborty
>         > Research Fellow
>         > National Institute of Public Finance and Policy
>         > New Delhi- 110067
>         >
>         >       [[alternative HTML version deleted]]
>         >
>         > ______________________________________________
>         > R-help using r-project.org <mailto:R-help using 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.
>
>
>
>     -- 
>     Rahul Chakraborty
>     Research Fellow
>     National Institute of Public Finance and Policy
>     New Delhi- 110067
>
>
>
> -- 
> Rahul Chakraborty
> Research Fellow
> National Institute of Public Finance and Policy
> New Delhi- 110067



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