[U] User's Guide

10 [ U ] 1 Read this—it will helpmi can import already imputed data, including data from NHANES and ice. mi solves the problemof keeping multiple datasets in sync. You can create or drop variables or observations just as ifyou were working with one dataset. You can merge, append, and reshape data, all of which is tosay that you can perform data management either before or even after forming the imputations.Included is an interactive control panel that provides access to almost all of mi’s capabilities andguides you through the steps of analysis.See [MI] intro.4. The new Variables Manager is the one-stop place to go to manage your variables. Click on theVariables Manager button or type varmanage. You can change names, labels, display formats,and storage types. You can define and edit notes, and define and edit value labels. The VariablesManager is useful even for those who have thousands of variables in their data; just type partof the name in the filter at the top left. See [D] varmanage and [GS] 7 Using the VariablesManager (GSM, GSU, or GSW).5. The Data Editor is all new. It is now a live view onto your data, which means that you can run aStata command and see the changes reflected immediately. You can apply filters to view subsetsof your data, take snapshots so that you can undo changes, and enter dates and times the naturalway. See [D] edit and [GS] 6 Using the Data Editor (GSM, GSU, or GSW).6. The Do-file Editor under Windows is all new, too. Syntax highlighting and code folding areprovided. There is no limit to file size. See [R] doedit.7. You can now put bold and italic text, Greek letters, symbols, superscripts, and subscripts ongraphs! See [G] text.8. If you are not reading this on your computer, you could be. Stata now has PDF manuals—[GS],[U], [D], [G], [MI], [MV], [R], [ST], [SVY], [TS], [XT], [P], [M], and [I]—and they are shippedwith every copy of Stata. Select Help > PDF Documentation. Even better, the manuals areintegrated into the help system. From a help file, you can jump directly to the relevant page justby clicking on the reference. There is nothing more to know.There are other exciting new features in this release depending on who you are and what interestsyou. These include• competing-risks regression models; see [ST] stcrreg• GMM estimation; see [R] gmm• state-space (Kalman filtering) modeling; see [TS] sspace• multivariate GARCH; see [TS] dvech• dynamic-factor models; see [TS] dfactor• unit-root tests for panel data; see [XT] xtunitroot• error structures for linear mixed models; see [XT] xtmixed• standard errors for BLUPs in linear mixed models; see [XT] xtmixed• object-oriented programming in Mata; see [M-2] class• full model-based optimization in Mata; see [M-5] moptimize( )• numerical derivative function in Mata; see [M-5] deriv( )Each of these, and more, is covered in the sections that follow.