[R] Error in `[[<-.data.frame`(`*tmp*`, alt.name, value = integer(0)) with mlogit

Jeff Newmiller jdnewmil at dcn.davis.ca.us
Thu Jul 27 18:03:41 CEST 2017


Looks like you need to pay attention to how you read in your data.  In general, you should always execute one statement at a time until you know your script is working.  All the errors after the first one are unhelpful to you or us. 

If you actually pay attention to what is in your horse.data data frame after you have read it in, the columns did not get separated out. The "csv" in in read.csv stands for "comma", and your file appears to use semicolons. Read the help for read.csv using

?read.csv

and use the sep=";" argument. You should always use the str() function to look at your data and make sure it looks reasonable before you start trying to give it to other functions to analyze.
-- 
Sent from my phone. Please excuse my brevity.

On July 27, 2017 8:01:12 AM PDT, sandoz at free.fr wrote:
>Hi,
>Please  help about the error I am getting after the h1.dat<- line :
>this line worked with much more independant variables and bigger data.
>This time I want to work with just 2 variables cteD & cteTh.
>What is wrong ?
>
>> setwd("C:/Rstudio/Trot")
>> library(mlogit)
>> horse1.data<-read.csv("cte2.csv")
>>
>h1.dat<-mlogit.data(data=horse1.data,choice="win",chid.var="raceid",alt.var="nbChev",shape="long")
>
>Error in `[[<-.data.frame`(`*tmp*`, alt.name, value = integer(0)) : 
>  le tableau de remplacement a 0 lignes, le tableau remplacé en a 26
>
>
>> mul1.model<-mlogit(win~cteD+cteTh|0|0,data=h1.dat)
>Error in mlogit(win ~ cteD + cteTh | 0 | 0, data = h1.dat) : 
>  object 'h1.dat' not found
>
>
>> head(horse.data,27)
>   raceid.nbChev.cteD.cteTh.win
>1              1;9;29.6;23.8;no
>2                1;9;5.3;6.7;no
>3              1;9;10.9;11.5;no
>4               1;9;8.2;6.7;yes
>5              1;9;17.8;18.2;no
>6                  1;9;26;30;no
>7                1;9;4.4;5.7;no
>8                  1;9;4.9;6;no
>9                1;9;4.5;6.9;no
>10            2;17;32.1;48.3;no
>11             2;17;8.8;24.5;no
>12            2;17;36.7;18.3;no
>13            2;17;6.7;11.8;yes
>14            2;17;10.3;12.8;no
>15            2;17;61.6;68.5;no
>16              2;17;2.5;6.7;no
>17            2;17;27.7;30.9;no
>18             2;17;8.4;10.5;no
>19            2;17;56.5;40.7;no
>20            2;17;95.5;11.9;no
>21             2;17;12.7;6.4;no
>22            2;17;19.6;14.2;no
>23           2;17;269.6;67.2;no
>24             2;17;300;75.6;no
>25            2;17;300;114.3;no
>26            2;17;36.3;16.9;no
>
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