[U] User's Guide

1.3.1 What’s new in the GUI and command interface[ U ] 1.3 What’s new 111. As mentioned in the highlights, the new Variables Manager is the one-stop place to go to manageyour variables. See [D] varmanage and [GS] 7 Using the Variables Manager (GSM, GSU, or GSW).2. Also a highlight is the new Data Editor, a live view onto your data. See [D] edit and [GS] 6 Usingthe Data Editor (GSM, GSU, or GSW).3. The Do-file Editor is all new under Windows and provides syntax highlighting and code folding.See [R] doedit.4. You doubtlessly have already noticed that Stata’s Results window now has a white background.Stata has several new color schemes, and the one you are seeing is called Standard. What wasthe default scheme in Stata 10 is called Classic, so if you want it back, select Edit > Preferences> General Preferences... and change the scheme for the Results window to it. You can try theother schemes or make your own and save it in Custom 1, Custom 2, or Custom 3.5. In Stata for Windows, you can now choose from among five different default layouts for the overallsize and position of Stata’s windows or, just as previously, you can make your own. Select Edit >Preferences > Load Preference Set and pick a layout. In addition to Factory Settings, availableare Compact Window Layout and three Presentation layouts optimized for different projectorresolutions.6. Output scrolling in the Results window is now significantly faster. Also, the upper limit of setscrollbufsize has been increased to 2,000,000. See [R] set.7. In Stata for Windows, Graph windows no longer float.8. In Stata for Windows, existing command windows manage has new subcommand prefs forloading and saving named preference sets; type help window manage for details.9. Stata for Unix(GUI) now supports copying graphs to the Clipboard in bitmap format.10. Stata for Mac now supports copying graphs to the Clipboard in PDF format.11. Stata for Mac’s graphical user interface (GUI) has been completely rewritten in Apple’s Cocoaprogramming interface.12. Stata for Mac is now available as a universal binary that runs natively on 32-bit Intel- or PowerPCbasedMacs and 64-bit Intel-based Macs to deliver optimal performance for all three architecturesin a single package.1.3.2 What’s new in data management1. Existing command merge has all new syntax. It is easier to use, easier to read, and makes it lesslikely that you will make a mistake. Merges are classified as 1:1, 1:m, m:1, and m:m. When youtype merge 1:1, you are saying that you expect the observations to match one-to-one. merge1:m specifies a 1-to-many merge; m:1, a many-to-1 merge; and m:m, a many-to-many merge. Newoptions assert() and keep() allow you to specify what you expect the outcome to be and whatyou want to keep from it. For instance,. merge 1:1 subjid using filename, assert(match)means that you expect all the observations in both datasets to match each other, whereas. merge 1:1 subjid using filename, assert(match using) keep(match)specifies that you expect each observation to either match or be solely from the using data and,assuming that is true, you want to keep only the matches.Sorting of both the master and the using datasets is now automatic.