![]() You can also choose the font used in each window, just right click and select font from the context menu. I happen to like the Compact Window Layout. You can also save (and then load) named preference sets using the menu Edit| Preferences. Stata remembers its settings the next time it runs. You can resize or even close some of these windows. The Properties window immediately below that, introduced in version 12, displays properties of your variables and dataset. The window labeled Variables, on the top right, lists the variables in your dataset. Your command is added to a list in the window labeled History on the left (called Review in earlier versions), so you can keep track of the commands you have used. Stata then shows the results in the larger window immediately above, called appropriately enough Results. The window labeled Command is where you type your commands. When Stata starts up you see five docked windows, initially arranged as shown in the figure below. ![]() All of these versions can read each other’s files within their size limits. Starting with version 16 Stata can be installed on 64-bit computers only previous versions were available for both older 32-bit and newer 64-bit computers. (The first two designations changed with Stata 17.) The number of observations is limited by your computer’s memory, as long as it doesn’t exceed about two billion in Stata/SE and about a trillion in Stata/MP. There are three editions: (1) Stata/BE, the basic edition (formerly intercooled), suitable for mid-size datasets with up to 2048 variables, (2) Stata/SE, the standard edition (formerly special edition), it can handle up to 32,766 variables as well as longer strings and matrices, and (3) Stata/MP, an edition for multicore/multiprocessor computers that allows processing very large datasets and is substantially faster. This tutorial was created using the Windows version, but most of the contents applies to the other platforms as well. Stata is available for Windows, Unix, and Mac computers. Version 14 added Unicode support, which will come handy when we discuss multilingual labels in Section 2.3. Version 15 included, among many new features, graph color transparency or opacity, which we’ll use in Section 4.3. Version 16 introduced frames, which allow keeping multiple datasets in memory, as noted in Section 2.6. Version 17 introduced new commands for producing customizable tables, which are discussed in a new Section 3. The tutorial has been updated for version 17, but most of the discussion applies to older versions. In this tutorial I start with a quick introduction and overview, and then discuss data management, tables of various types, statistical graphs, and Stata programming. Stata is a powerful statistical package with smart data-management facilities, a wide array of up-to-date statistical techniques, and an excellent system for producing publication-quality tables and graphs. ![]() The web pages and PDF file were all generated using the markstatĬommand to combine Markdown and Stata, as described here.įor a complementary discussion of statistical models see the This tutorial is an introduction to Stata emphasizing data management, tables and graphics. ![]() Introduction Data Management Tables Graphics Programming ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |