Hi! Thanks again for creating this package. I am having a similar rounding issue as another user but slightly different circumstance. I am using matrices to create the lower and upper bounds on my coefficients and then also export those using texresults. However, one of my bounds also has the same rounding issue. I have tried exporting the contents from the matrix as a local, and also rounding the matrix itself. I also updated to Stata18 but am still having this issue. Here is some code that recreates the issue:
`//recreate issue using auto data
sysuse auto, clear
reg mpg trunk foreign
//create matrices to find lower and upper bounds
mat def num = 1.96
mat var = e(V)
local v = var[1,1]
mat se = sqrt(var[1,1])
mat B = e(b)
mat b = B[1,1]
mat lb = b-num*se
//export results
texresults using results.txt, texmacro(lb) result(lb[1,1]) unitzero replace
cat results.txt`
The results show: \newcommand{\lb}{$-0.9500000000000001$}
instead of \newcommand{\lb}{$-0.95$}
Any help solving this issue would be greatly appreciated. Thank you for your time.
Hi! Thanks again for creating this package. I am having a similar rounding issue as another user but slightly different circumstance. I am using matrices to create the lower and upper bounds on my coefficients and then also export those using texresults. However, one of my bounds also has the same rounding issue. I have tried exporting the contents from the matrix as a local, and also rounding the matrix itself. I also updated to Stata18 but am still having this issue. Here is some code that recreates the issue:
`//recreate issue using auto data
sysuse auto, clear
reg mpg trunk foreign
//create matrices to find lower and upper bounds
mat def num = 1.96
mat var = e(V)
local v = var[1,1]
mat se = sqrt(var[1,1])
mat B = e(b)
mat b = B[1,1]
mat lb = b-num*se
//export results
texresults using results.txt, texmacro(lb) result(lb[1,1]) unitzero replace
cat results.txt`
The results show: \newcommand{\lb}{$-0.9500000000000001$}
instead of \newcommand{\lb}{$-0.95$}
Any help solving this issue would be greatly appreciated. Thank you for your time.