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 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.
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 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.
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.
while plotting, the Xorg process goes to 90~100% CPU usage (of 1 core).If I set graph off, the creation of the plot is normal, but if try to export it to png, it takes really long time (export to eps is rather quick). (on other computer, older one with i5 from 2nd gen, works fine on manjaro) definitely no dedicated chip)Ĭomment: with the same computer, it works fine on windows. also tried in elementaryOS (5.1) and ubuntu 16.04, so it is not a problem only with the 19.10 version.Īnyone has any idea what else I could try?.I installed this library in several ways, including using the binary from arch repository, from this ppa as in this tutorial and i first thought the issue was related to the libpng12 library.other than plotting, stata seems to run just as fast as in other systems.and the results are the same across all versions: works as expected in Manjaro and veeeery slow in Ubuntu. I also tried multiple releases of stata (mp, se) and also multiple versions (14.2, 15, 15.1). I first thought it was a issue with stata, but it works fine under manjaro (arch-based, with gnome 3.34.1). while I could get those fixed and stata starts normally and display the icons, somehow, stata takes really long to plot a scatter plot with some 150.000 observations.
For those who have tried to use stata under linux, probably already encountered some issues related to the icons and libpng12 library.