If we want to add more variables, we just list them. Most notably, you may combine several conditions with "and" or "or". When we run the analysis, we reuse the previous regression command, we just add glergdpc after ppolity2. If clauses can be more complicated than that. Here is how to interpret the most interesting numbers in the output: Prob > F: 0.000. Type the following into the Command box to perform a multiple linear regression using mpg and weight as explanatory variables and price as a response variable. 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). Step 3: Perform multiple linear regression. Let's assume that single mothers are coded as "1" in variable "household". noisily turns back on terminal output, if appropriate, for the duration of command. It is useful both interactively and in programs. For instance, you might wish to do regress income on education for single mothers only. Title quietly Quietly and noisily perform Stata command DescriptionSyntaxRemarks and examplesAlso see Description quietly suppresses all terminal output for the duration of command. With Stata, you may also do statistical analyses IF certain conditions are given. Perhaps you will find some examples at a later stage in the "data transformation" section. 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. 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 linear regression command in Stata is simply regress y variable x variables, options The regress command output includes an ANOVA table, but depending on the options you specify, this may not be relevant and migt, in fact, be suppressed. Multiple Imputation: Analysis and Pooling StepsĪll Stata commands (or nearly) can be accompanied by an if clause.Confidence Intervals with ci and centile.Changing the Look of Lines, Symbols etc.
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