@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
<chakrara...@gmail.com <mailto:chakrara...@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
<dwinsem...@comcast.net <mailto:dwinsem...@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@r-project.org <mailto: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.
--
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
______________________________________________
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.
