[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
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> > PLEASE do read the posting guide
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> --
> 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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