[行业软件]StataCorp Stata 17 (2024.2.13) win/mac [复制链接]

Fast. Accurate. Easy to use. Stata is a complete, integrated software package that provides all your data science needs—data manipulation, visualization, statistics, and automated reporting.


The Team StataCorp is pleased to announce the availability of Stata 17 (rev.29092023) is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics.



-------- update 29aug2023 -----------

1. The Java Development Kit that is redistributed with Stata is now updated to version 17.0.8+7-LTS acquired from Azul Systems.
2. The default type of variables _index and _frequency in MCMC simulation datasets produced by bayesmh and other bayes commands was changed from int to long. This may affect community-contributed commands that access MCMC simulation datasets directly and use variable _index.
3. merge with options keep() and assert(), when the results of the merge failed to match option assert(), would not leave unmatched data from the using dataset in memory for inspection after the failed merge. This has been fixed.
4. npregress series with basis bspline, when specified with option knots() and weights, ignored the weights. This has been fixed.
5. In the (P) PyStata module, when calling function pdataframe_to_data(df, force=False) or pdataframe_to_frame(df, stfr, force=False), defined in module stata, or when using the -d and -f arguments of Python package pystata to push a pandas DataFrame to Stata as the current dataset in memory or a stata frame, and when the pandas DataFrame has some non-numeric column that contains missing values, such as NaN or NaT, those values failed to be stored as Stata's missing values. This has been fixed.
6. stcurve with option at(), when used after stintreg with option distribution(ggamma), exited with a noninformative error message instead of producing graphs. This has been fixed.
7. (Windows) When text was selected in the Results or Viewer window and the Edit > Copy as picture menu item was then selected, Stata copied the text as an image using a monochrome scheme. Stata now copies the text as an image using the current scheme of the Results or Viewer window. The old behavior can be restored by opening General preferences dialog and checking the checkbox for "Copy picture using monochrome scheme".
And much more, to support all your data science needs.

Stata makes it easy to generate publication-quality, distinctly styled graphs.
You can point and click to create a custom graph. Or you can write scripts to produce hundreds or thousands of graphs in a reproducible manner. Export graphs to EPS or TIFF for publication, to PNG or SVG for the web, or to PDF for viewing. With the integrated Graph Editor, you click to change anything about your graph or to add titles, notes, lines, arrows, and text.

Automated reporting

All the tools you need to automate reporting your results.

• Dynamic Markdown documents
• Create Word documents
• Create PDF documents
• Create Excel files
• Customizable tables
• Schemes for graphics
• Word, HTML, PDF, Excel, SVG, PNG

PyStata — Python and Stata

Highlights

• Use Stata from within Python
• Stata API functions to run Stata commands and access Stata data and returned results from Python
• IPython magic command to use Stata from Jupyter Notebook

Use any Python package within Stata

• Matplotlib and seaborn for visualization
• Beautiful Soup and Scrapy for web scraping
• NumPy and pandas for numerical analysis
• TensorFlow and scikit-learn for machine learning
• And much more

PyStata allows you to invoke Stata directly from any standalone Python environment and to call Python directly from Stata, thus, greatly expanding Stata's Python integration features.

New features in PyStata include

• the ability to use Stata from any standalone Python environment like Jupyter Notebook, Spyder IDE, PyCharm IDE or Wing IDE
• the ability to use Stata from Python Shell, like the Windows Command Prompt, the macOS terminal, or the Unix terminal
• three IPython magic commands: stata, mata, and pystata; and
• a suite of API functions from within Python to run Stata commands and access Stata data and returned results.

These tools, together with the Stata Function Interface (sfi) module, allow users to easily integrate Stata's vast statistical and data management methods into any data science project using Python.

为了电魂！！！

感谢分享！！！！

还没有下载链接！欢迎分享！

感谢分享，试用

链接呢？

感谢分享！

感谢！！！！！！

感谢分享，试用看看

感谢分享！！！！