Small Stata Download Mac

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This video demonstrates how to download and install Stata for Mac. Copyright 2011-2019 StataCorp LLC. All rights reserved. Stata for Mac includes software and PDF documentation, which includes access to all the manuals. Stata for Mac comes in three flavors: Stata/MP (64-bit Intel-based Macs only), Stata/SE, and Stata/IC. Download Stata for Windows to manage, graph, and analyze data. Stata has had 1 update within the past 6 months. Stata Crack 16.1 Latest Plus Torrent.

Stata is a general purpose, statistical and matrix-oriented, data management package from StataCorp based in College Station, Texas.

1. Availability

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Sociology maintains a 10-user, network Linux license for Stata SE (Special Edition), Version 15 on compute server charisma. A Sociology Linux account is required for use.

2. Access Requirements

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Windows users need the following:

  • PC X-Window server software - we recommend X-Win32, distributed by OIT. Make sure you are using a current version that provides TrueType font support, which greatly improves local rendering of Stata graphs. Install X-Win32 on laptops and home desktops using a node-locked license. This will allow use of X-Win32 without the need to load a VPN client. See a member of the IT staff to obtain the node-locked license key. This key must be updated annually each calendar year.

  • An SSH client - we recommend PuTTY. When using this product, make sure that you tunnel X11 connections. [This requirement will be true for any SSH client you use for this purpose.]

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Prior to opening a Stata session:

  1. Load X-Win32. This makes X11 services available on your PC.
  2. Load PuTTY and open a termnal session to charisma.soc.duke.edu.

Mac users:

  • The X11 service is available as a package download from the XQuartz download site. Install the recommended XQuartz package from the 'Quick Download' link to provide X11 functionality.

  • Open a terminal window and start an SSH session to charisma including the -X option, which ensures proper hand-off to X11 of graphical requests. This is equivalent to the 'tunneling' setting used with Windows PuTTY.

Linux users:

  • SSH and X11 are native to the Linux platform. Open a terminal window and start an SSH session to charisma including the -X option.

3. Versions of Stata

The Sociology Stata installation includes two versions of Stata -- large data set Stata/SE and small data set Stata/IC. Their constraints are:

Constraint

Stata/SE

Stata/IC

Modification of Default

Default number of variables

5,000

2,047

set maxvar #

Maximum number of variables

32,766

2,047

Maximum string variable size

244

244

Default size of matrices

400 x 400

200 x 200

set matsize #

Maximum size of matrices

11,000 x 11,000

800 x 800

Stata 15 provides automatic memory management and is able to adjust its memory usage up or down as required by the data in use.

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4. Invoking Stata

Stata for Linux has two user interfaces. The preferred is a graphical user interface termed Stata(GUI). The second is a nongraphical user interface termed Stata(console), which runs within an SSH terminal window. The following invocations are available from the terminal command line.

Invocation

Result

xstata &

Starts Stata/IC in Stata(GUI) mode and returns the terminal command line prompt

xstata-se &

Starts Stata/SE in Stata(GUI) mode and returns the terminal command line prompt

stata

Starts Stata/IC in Stata(console) mode

stata-se

Starts Stata/SE in Stata(console) mode

A Stata(GUI) session appears below. Commands are typed in the lower, middle Command window. When Enter is pressed, the command is executed in the Results window and output appears below the command. When output exceeds the size of the Results window, more appears at the bottom of the window and pressing the space bar displays the next segment. Submitted commands are listed in the Review window on the left. Clicking a command from Review pastes it into the command entry window, allowing easy reuse of commands. Variables associated with the data set currently in use are listed alphabetically in the Variables window on the right. Clicking a variable name also pastes it to the command window. Variable and data set properties can be viewed in the Properties window on the right.

A Stata(console) session is shown below. The input prompt appears as a . (dot) at the bottom of the window. Commands are typed at the prompt and immediately executed after the Enter key is pressed. Results display below the command and a new prompt appears.

5. Getting Help

Stata provides a comprehensive help system, with links to internal help documents organized as mini-manuals on specific commands or topics. Keyword searches also provide links to Internet resources maintained by StataCorp and other major players in the Stata community.

Keyword searching through the Stata(GUI) entails these steps:

  1. Through the menus, select Help > Search....

  2. The subsequent Keyword Search box allows a search of official documentation help resources, net resources or both. Specify the scope of your search and enter one or more search keywords.

  3. Search results are presented in a Stata Viewer window. Browse through and explore links to items of interest. These may link in turn to other documents. If having multiple help documents open is useful, right-click on a link to display an option to Open Link in New Viewer.

  4. Use the Back button to return to the original search results or prior documents.

  5. Help results for some commands also provide dialog links in the upper, right corner that allow a menu-driven command entry. The command formed through dialog use displays in the Command window. This streamlines the process of learning command syntax.

For those wanting to peruse manuals, these are accessed online through the Help > PDF Documentation menu option, which allows access to the complete multi-volume Stata 12 documentation via an Adobe Reader.

6. Session Logs

Stata sessions (program statements and output) from the Results window are saved to a file by turning on a log. To start a log, click the Log button in the Stata(GUI) and name the log file when prompted. Any work of importance should be logged and careful thought given to naming of log files.

Logs named without a file extension are given .smcl. This designates the default Stata Markup and Control Language format in which logs are saved. Standard SMCL logs give formatted print output.

Logs may also be saved in ASCII text format with a log session command. The example below starts the log file eval_step1.txt in ASCII format, as controlled by the text option placed at the end of the command.

  • . log using eval_step1.txt, text

Logging is ended by one of the following:

  • clicking the Log button and selecting the Close log file option

  • entering a log close command

  • closing the Stata session.

Logs are viewed and printed from the Stata Viewer. To open the viewer, select File > Log > View... If a log is currently open, it will be displayed in the viewer. Otherwise you are prompted for the name of the log to view or may browse to it.

A viewer can also be opened with a view command, as illustrated below.

  • . view eval_step1.txt

7. Setting Default Network Printer

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Stata logs from a viewer window or graphs from a graph window are usually printed to a department network printer. Set the default printer by entering one of the following commands before printing.

Command

Printer Selected

plab

Computer Lab printer (Room 135)

pcopy2

Copy Room printer (Room 258)

pcolor

Main Office color printer (Room 268)

8. Printing

The most typical method of printing is to right click in the viewer or graph window of interest and select the Print... option. A print dialog appears with many options for controlling the output format. Output goes to the network printer you designated above.

There are also command methods of printing. To print the entire contents of the Stata Results window, use:

  • . print @Results

To print a currently open Graph window, specify:

  • . print @Graph

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9. Submitting Jobs in Batch Mode

When running lengthy do-files, it is often better to submit in batch mode. Batch mode allows you to submit the job from the Linux command line, log off and return later to check the output from a log file. The job will run as a background process in Linux.

Assuming a do-file named bootstrap.do, to submit this job in batch mode from the command line, one would type:

$ nohup stata-se -b do bootstrap &

This command submits bootstrap.do for execution with all screen output suppressed. The job runs in the background and the nohup option allows you to disconnect your terminal session without terminating the background Stata process. The -b option causes the output of do-file execution to be routed to the text file bootstrap.log in the same directory as bootstrap.do.

If you wish output in smcl format, replace the -b option with -s.

You may check on the status of the job later by logging back on and running the top command to see if your process is still running. To check on the progress of a still running do-file, open the log file with the less pager command and scroll through it with the space bar.

$ less bootstrap.log

To see just the last 10 lines, use the tail command.

$ tail bootstrap.log

To see a specified number of lines, include the -n option.

$ tail -n 30 bootstrap.log

To follow a log file as it grows, use the -f option.

$ tail -f bootstrap.log

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Stata/MP is the fastest and largest version of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster.

Stata/MP, Stata/SE, and Stata/IC all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.

Stata/MP can also analyze more data than any other flavor of Stata. Stata/MP can analyze 10 to 20 billion observations given the current largest computers, and is ready to analyze up to 1 trillion observations once computer hardware catches up.

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Stata/SE and Stata/IC differ only in the data set size that each can analyze. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyze up to 2 billion observations.

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Stata/IC allows data sets with as many as 2,048 variables and 2 billion observations. Stata/IC can have at most 798 independent variables in a model.

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