#STATA 13 DATASETS PDF#
#STATA 13 DATASETS MAC#
#STATA 13 DATASETS WINDOWS#

The GUI can be helpful when you are starting to learn Stata, particularly because after you point and click on the menus and dialogs, Stata types the corresponding command for you. In fact, I recommend that you type your commands on a separate file, called a do file, as explained in Section 1.2 below, but for now we will just type in the command window. However, I strongly recommend using the command language as a way to ensure reproducibility of your results. Starting with version 8 StataвЂ™s graphical user interface (GUI) allows selecting commands and options from a menu and dialog system.

#STATA 13 DATASETS WINDOWS#

There are other windows that we will discuss as needed, namely the Graph, Viewer, Variables Manager, Data Editor, and Do file Editor. You can also choose one of seven preset or three customizable styles for the Results and Viewer windows. You can select one of four overall color schemes: light, light gray, blue or dark.

Finally, it is possible to change the color scheme under General Preferences. 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. (There used to be a small version of Stata, limited to about 1,000 observations on 99 variables, but as of version 15 it is no longer available.) 1.1.1 The Stata Interface All of these versions can read each otherвЂ™s files within their size limits. Stata 16 can be installed only on 64-bit computers previous versions were available for both older 32-bit and newer 64-bit computers. The number of observations is limited by your computerвЂ™s memory, as long as it doesnвЂ™t exceed about two billion in Stata/SE and about a trillion in Stata/MP. There is a special edition called Stata/SE that can handle up to 32,766 variables (and also allows longer string variables and larger matrices), and a version for multicore/multiprocessor computers called Stata/MP, which allows larger datasets and is substantially faster. The standard version is called Stata/IC (or Intercooled Stata) and can handle up to 2,047 variables. This tutorial was created using the Windows version, but most of the contents applies to the other platforms as well.

#STATA 13 DATASETS MAC#

Stata is available for Windows, Unix, and Mac computers. Version 16 introduced frames, which allow keeping multiple datasets in memory, as noted in Section 2.6. Version 15 included, among many new features, graph color transparency or opacity, which weвЂ™ll use in Section 3.3. Version 14 added Unicode support, which will come handy when we discuss multilingual labels in Section 2.3. The tutorial has been updated for version 16, but most of the discussion applies to versions 8 and later. In this tutorial I start with a quick introduction and overview and then discuss data management, 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 graphs.

#STATA 13 DATASETS PDF#

The web pages and PDF file were all generated from a Stata/Markdown script using the markstatДЇor a complementary discussion of statistical models see the This tutorial is an introduction to Stata emphasizing data management and graphics. Introduction Data Management Graphics Programming

Stata 13 datasets