Import data from SAS and SPSS
With Stata 16’s new import sas and import spss commands, you can now import data stored in SAS (.sas7bdat) and SPSS (.sav) formats. The dialog boxes make it easy to explore the data before importing them and, if desired, to select a subset of variables and observations to load into Stata.
In addition, with the new import sasxport8 and export sasxport8 commands, you can import and export SAS XPORT Version 8 Transport files into Stata. The existing import sasxport and export sasxport commands worked with SAS XPORT Version 5 Transport files and have been renamed import sasxport5 and export sasxport5.
We are excited to introduce you to the new features in Stata 16. Below, we list highlights of the release. In what follows, we tell you a little more about the first 13 of them. We introduce each feature using words that you might also use as you introduce them to existing and potential Stata users.
The majority of these features will be exciting to researchers in all disciplines. Where appropriate, we will highlight which disciplines will be most interested or provide advice about how different groups of users will relate to the feature. We
尽管您不需要使用Stata进行编程，
但是它作为一个快速完成矩阵的编程
语言，是Stata功能中不可或缺的一部
分。Mata既是一个操作矩阵的互动环
境，也是一个完整开发环境，可以生
产编译和优化代码。它还包含了一些
特殊功能来处理面板数据、执行真实
或复制的矩阵运算，提供完整的支持
面向对象的编程，并完全兼容Stata。
In Stata 16, we introduce a new, unified suite of commands for modeling choice data. We have added new commands for summarizing choice data. We renamed and improved existing commands for fitting choice models. We even added a new command for fitting mixed logit models for panel data. And we document them together in the new Choice Models Reference Manual.
And here’s the best part: margins now works after fitting choice models. This means you can now easily interpret the results of your choice models. While the coefficients estimated in choice models are often almost uninterpretable, margins allows you to ask and answer very specific questions based on your results. Say that you are modeling choice of transportation. You can answer questions such as
• What proportion of travelers are expected to choose air travel?
• How does the probability of traveling by car change for each additional $10,000 in income?
• If wait times at the airport increase by 30 minutes, how does this affect the choice of each mode of transportation?
What else is new? You now cmset your data before fitting a choice model. For instance,
. cmset personid transportmethod
Then, you use cmsummarize, cmchoiceset, cmtab, and cmsample to explore, summarize, and look for potential problems in your data.
And you use cm estimation commands to fit one of the following choice models:
• cmclogit conditional logit (McFadden’s choice) model
• cmmixlogit mixed logit model
• cmxtmixlogit panel-data mixed logit model
• cmmprobit multinomial probit model
• cmroprobit rank-ordered probit model
• cmrologit rank-ordered logit model
Unlike the others, cmxtmixlogit is not just renamed and improved. It is completely new in Stata 16, and
-/gjiiih/-
http://turntech8843.b2b168.com
