Hi STATALIST,
I used the following command:
and I got this error message:
Is there any advice on how to solve this problem?
I have around 86,430 data. Using randomtag, this is a sample of the data:
P.S.
the following work well:
but the same error message for these:
Regards,
I used the following command:
set seed 1001
sqreg A b1.B, quantile(.25 .5 .75)
sqreg A b1.B, quantile(.25 .5 .75)
Code:
quantile: 0 coefs estimated .75 quantile: 1coefs estimated same model cannot be used to estimate both quantiles; sample size probably too small r(498);
Is there any advice on how to solve this problem?
I have around 86,430 data. Using randomtag, this is a sample of the data:
Code:
* Example generated by -dataex-. For more info, type help dataex clear input double A float B 5.65032e-09 1 5.6769199999999995e-09 1 1.628849e-08 1 1.2521000000000003e-10 2 1.746179e-08 2 1.165e-10 2 8.77735e-09 2 1.1475e-10 2 8.76799e-09 2 6.829762e-08 3 1.670037e-08 3 1.5580500000000002e-08 3 1.0653e-10 3 1.1757e-10 3 2.562106e-08 3 1.2002000000000002e-10 3 1.1449000000000001e-10 3 1.0886e-10 3 1.0947999999999999e-10 3 7.767400000000001e-09 4 1.235895e-08 4 1.7939089999999998e-08 4 9.440100000000001e-09 4 1.567156e-08 4 1.1825856999999999e-07 4 1.244867e-08 4 1.106799e-08 4 1.1050970000000001e-08 5 1.1264e-10 5 8.88932e-09 5 end label values B B label def B 1 "1st six minutes", modify label def B 2 "2nd six minutes", modify label def B 3 "3rd six minutes", modify label def B 4 "4th six minutes", modify label def B 5 "5th six minutes", modify
the following work well:
set seed 1001
sqreg A b1.B, quantile(.25)
set seed 1001
sqreg A b1.B, quantile(.5)
set seed 1001
sqreg A b1.B, quantile( .75)
set seed 1001
sqreg A b1.B, quantile(.25 .5)
sqreg A b1.B, quantile(.25)
set seed 1001
sqreg A b1.B, quantile(.5)
set seed 1001
sqreg A b1.B, quantile( .75)
set seed 1001
sqreg A b1.B, quantile(.25 .5)
set seed 1001
sqreg A b1.B, quantile(.25 .75)
set seed 1001
sqreg A b1.B, quantile(.5 .75)
sqreg A b1.B, quantile(.25 .75)
set seed 1001
sqreg A b1.B, quantile(.5 .75)