Most notably, you may combine several conditions with "and" or "or". If clauses can be more complicated than that. Regress income education if household=1, betaĪs you can see, the if clause is placed at the end of the command, before the option(s). No doubt this is often very sensible whenever the original data are available, but there are occasions on which you might want to break this rule.
Let's assume that single mothers are coded as "1" in variable "household". However, one feature that remains wired in histogram commands in Stata 8 is a restric-tion to bins of equal width. For instance, you might wish to do regress income on education for single mothers only.
With Stata, you may also do statistical analyses IF certain conditions are given. Missing will mean numeric missing (.) with numeric variables and string missing ('') with string variables.
#Stata not equal manual
The example the Stata manual uses prsents a bivariate linear regression using length to predict weight. In particular, whenever Stata is asked to determine a value in an observation that it does not have, it returns missing. However, you can speicfy, nocons to set the constant equal to zero if it makes conceptual sense. Stata defaults to including a constant term (0) also known as the intercept. Perhaps you will find some examples at a later stage in the "data transformation" section. Dealing with Constants in Linear Regression with Stata. A household will belong to the category of "unmarried heterosexual, without children" IF there are two adults of different sex (who should have declared each other as partners, because otherwise they might just share a flat for the fun of it) and there are no children. So, a household will belong to the category of "single mothers" IF one single female parent and one or more children are present. For instance, you may wish to create types of household. Correlation equals 1 when the same variable Useful Stata Commands (for Stata.
#Stata not equal software
In most other statistical software I know (admittedly, this is not much more than a handful), if clauses are important for creating or changing data. The basic players are p(z) a polynomial (not shown) C corresponding.