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 other’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 computer’s memory, as long as it doesn’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.
Stata tutor windows#
This tutorial was created using the Windows version, but most of the contents applies to the other platforms as well.
Stata tutor 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 we’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 tutor pdf#
The web pages and PDF file were all generated from a Stata/Markdown script using the markstatįor a complementary discussion of statistical models see the This tutorial is an introduction to Stata emphasizing data management and graphics. Please email if you have any questions or concerns.Introduction Data Management Graphics Programming We take the confidentiality of student information very seriously and violations could be subject to disciplinary action. Staff will closely monitor all reports, and peer tutors receive official personal data/ privacy training and are required to keep all information from the client reports confidential. The reports are made accessible to all peer tutors so that the peer tutor can prepare for each session and build upon the student’s previous appointments. These reports detail academic information, such as strategies used, topics discussed, and suggestions for future action. This information will be used by staff to learn more about students’ tutoring experiences and to help improve Yale-NUS’ tutoring programme.Īll peer tutors have access to your tutoring history in the WCONLINE system.Īfter each appointment, tutors record information about the session in a client report form. Within the 24 hours following your appointment, you will receive an email from WCONLINE asking you to provide feedback about your session. Please note that there are different procedures for Writing, Language, Course-based, and Stata & SPSS Statistics tutoring. Read the directions at the top of each schedule to make an appointment. Course-based (Content-based consultations) Language (Ancient Greek, Bahasa Indonesia, Chinese, Classical Chinese, French, Japanese, Latin, Spanish)ģ. Writing (Consultations on the writing process across all disciplines and genres)Ģ. There are four “schedules” to choose from:ġ. Select the schedule from the menu under your login information.
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