Dear All!
my data is on pairs of countries, i and j, e.g.:
y,i,j
1,AUT,BEL
2,AUT,GER
3,BEL,GER
I would like to create a dummy (indicator) variable for use in regression
(using factor?), such that it takes the value of 1 if the country is in the
pair (i.e. EITHER an i-country OR an j-country).
On Sat, 2009-04-18 at 08:55 +0200, Serguei Kaniovski wrote:
Dear All!
my data is on pairs of countries, i and j, e.g.:
y,i,j
1,AUT,BEL
2,AUT,GER
3,BEL,GER
I would like to create a dummy (indicator) variable for use in regression
(using factor?), such that it takes the value of 1 if
Bernardo: this is not quite what I am looking for,
Let the data be:
y,i,j
1,AUT,BEL
2,AUT,GER
3,BEL,GER
then the dummies sould look like:
y,i,j,d_AUT,d_BEL,d_GER
1,AUT,BEL,1,1,0
2,AUT,GER,1,0,1
3,BEL,GER,0,1,1
I can generate the above dummies but can this design be imputed in a
reg. model
On 2009.04.18 13:52:35, Serguei Kaniovski wrote:
Bernardo: this is not quite what I am looking for,
Let the data be:
y,i,j
1,AUT,BEL
2,AUT,GER
3,BEL,GER
then the dummies sould look like:
y,i,j,d_AUT,d_BEL,d_GER
1,AUT,BEL,1,1,0
2,AUT,GER,1,0,1
3,BEL,GER,0,1,1
I can generate the
On 2009.04.18 15:58:30, Jason Morgan wrote:
On 2009.04.18 13:52:35, Serguei Kaniovski wrote:
I can generate the above dummies but can this design be imputed in a
reg. model directly?
Oops, I apologize for not reading the whole question. Can you do the
following:
lm(y ~
df - read.table(textConnection(y,i,j
+ 1,AUT,BEL
+ 2,AUT,GER
+ 3,BEL,GER), header=T,sep=,, as.is=T)
df
y i j
1 1 AUT BEL
2 2 AUT GER
3 3 BEL GER
countries - unique(c(df$i,df$j))
countries
[1] AUT BEL GER
df[countries] - sapply(countries, function(x) df[x] - df$i == x
| df$j == x)
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