Double Precision Numbers Stata at Troy Hager blog

Double Precision Numbers Stata. After that, stata will default to. if your identification variable was over 16 digits long, you could store the variable as a string variable without any loss of. the fact is that %21x was designed for double precision, so it only does an adequate job of showing single. wherever stata encounters a naked numeric literal (for example, an actual number like 0.1 and 0.3 and 231.53), it maintains those in. if you are storing identification numbers, the rounding could matter. when you have a number stored as a float and you make a calculation, such as. in general if you are comparing two variables, one a float, and the other a double, your comparison is only good out. If the identification numbers are integers and take 9 digits or less, store them as longs;.

Power, precision, and sample size Stata
from www.stata.com

After that, stata will default to. in general if you are comparing two variables, one a float, and the other a double, your comparison is only good out. the fact is that %21x was designed for double precision, so it only does an adequate job of showing single. If the identification numbers are integers and take 9 digits or less, store them as longs;. if you are storing identification numbers, the rounding could matter. if your identification variable was over 16 digits long, you could store the variable as a string variable without any loss of. when you have a number stored as a float and you make a calculation, such as. wherever stata encounters a naked numeric literal (for example, an actual number like 0.1 and 0.3 and 231.53), it maintains those in.

Power, precision, and sample size Stata

Double Precision Numbers Stata the fact is that %21x was designed for double precision, so it only does an adequate job of showing single. in general if you are comparing two variables, one a float, and the other a double, your comparison is only good out. After that, stata will default to. if you are storing identification numbers, the rounding could matter. if your identification variable was over 16 digits long, you could store the variable as a string variable without any loss of. If the identification numbers are integers and take 9 digits or less, store them as longs;. wherever stata encounters a naked numeric literal (for example, an actual number like 0.1 and 0.3 and 231.53), it maintains those in. the fact is that %21x was designed for double precision, so it only does an adequate job of showing single. when you have a number stored as a float and you make a calculation, such as.

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