Hi R-helpers,
I want to determine the coefficients of the following
regression for several subsets, and I want to save it in a
dataframe:
The data is in «regaccdis», «regaccdis$caedois» is the
column that defines the subsets and the function I have
runned is
coef(plm(ff,data=regaccdis,na.action=na.omit,model="pooling",subset=(regaccdis$caedois==i)))
Ive created a dataframe named «coef» to store the
coefficients like this :
caedois b1 b2 b3
1 1 0.033120395 -20.29478
-0.27463886
2 5 -0.040629634 74.54240
-0.06995842
3 10 -0.001116816 35.23986
0.21432718
And I runned the following regressions to obtain those
values:
coef[1,2:4] <-
coef(plm(ff,data=regaccdis,na.action=na.omit,model="pooling",subset=(regaccdis$caedois==1)))
coef[2,2:4] <-
coef(plm(ff,data=regaccdis,na.action=na.omit,model="pooling",subset=(regaccdis$caedois==5)))
coef[3,2:4] <-
coef(plm(ff,data=regaccdis,na.action=na.omit,model="pooling",subset=(regaccdis$caedois==10)))
But I need to do this more than 50 times!
Anyone could help me with a loop or with a function like
apply?
Thank you!
Cecília (Universidade de Aveiro Portugal)
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