Again, I still am not following you. Our licensing is the same regardless of whether you're on Mac, Windows, and Linux. Having a different processor on the Mac doesn't change that.
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Re: Stata for Mac with Apple Silicon
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Re: Stata for Mac with Apple Silicon
MP8 will support all 8 cores of the M1. However, the performance for each core is not equal since 4 are high performance and the other 4 are high efficiency. The neural engine is interesting but I can't make any predictions on how it would fit within Stata's road map.
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Re: Stata for Mac with Apple Silicon
Will Stata 16 also work on the Surface Pro X? The Surface Pro X which has an ARM processor.
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Re: Stata for Mac with Apple Silicon
It's not currently supported but we're always evaluating different platforms for the possibility of supporting them.
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Re: Stata for Mac with Apple Silicon
Thanks. Thought it might since they are both ARM; too bad.
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Re: Stata/Python integration part 6: Working with APIs and JSON data
Thank you, Chuck. What would be a python package to parse XML data using the approach you lay out for JSON?
Thank you,
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Re: Stata/Python integration part 6: Working with APIs and JSON data
Hi, Sisinnio. You can parse XML data using the built-in Python module xml. For more information, see https://docs.python.org/3.8....
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Re: Stata/Python integration part 6: Working with APIs and JSON data
Thank you very much!
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Re: Creating Excel tables with putexcel part 3: Writing custom reports for arbitrary variables
Hi. Thank you very much for the blog, when I download the data and run code block 9, I get: option right not allowed; I remove that option, run again and get: "White": expression must be enclosed in (). Why? Thank you in advance for your kind response.
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Re: Stata for Mac with Apple Silicon
Chinh: the question is clear to me and an important one. Right now you have MP2-core, MP4-core, etc. for the Intel Mac. How about for Mac with M1? Do you have to choose number of cores at the time of purchase? Given that M1 chip has a unique set of cores (4 power+4 efficiency) how is choosing number of cores is going to affect performance?
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Re: Stata for Mac with Apple Silicon
Our MP2, MP4, etc. licenses are for all platforms and processors and are not unique to one platform or processor. I was confused by the question because the processor is irrelevant when it comes to the license. We don't have an MP* license specifically for Intel Macs, we have an MP* license that can be used on Windows, Mac, and Unix regardless of processor. So yes, you do have to choose the number of cores at the time of purchase. But just because you have an M1 Mac doesn't mean you have to get an MP8 license--you can get a license for as few or as many cores as your computing needs and budget allow.
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Re: Stata for Mac with Apple Silicon
My understanding is that Apple’s M1 chip is heavily based on the A-series processors found in other ARM-powered Apple devices, like the iPad Pro. Is this finally a step in the direction of being able to run Stata on iPad?
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Re: Calculating power using Monte Carlo simulations, part 3: Linear and logistic regression
This is really helpful but what I'm having trouble understanding is how
you can run a simulation using data for a study that you haven't done.
For example, you're using NHANES data here but what if you have no data
at all. What do you use for your simulation?
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Re: Stata for Mac with Apple Silicon
Can you tell us how much slower with Stata15, 14 on emulation compare to normal (running them on intel mac)?
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Re: Stata for Mac with Apple Silicon
We demonstrated Stata running on an iPad years ago at a users group meeting. The issue isn't whether it's possible to run Stata on an iPad because it is. Is it possible to run Stata in its current form within Apple's restrictions for apps on the iPad? Unfortunately, no.
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Re: Stata/Python integration part 1: Setting up Stata to use Python
hi!
If in anaconda I have more than one environment, one per project, how can I call the specific environment that I want to use from stata
thank you
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Re: Stata for Mac with Apple Silicon
I've only tested Stata 16 on Rosetta 2 and I'm basing these numbers on how long it takes to complete tests that we certify Stata with (they take several hours to run for each flavor). I would expect Stata 15 and 14 to perform similarly.
Stata on Rosetta 2 is actually 4% faster running Stata/SE and 15% faster running Stata/MP (4-core license) on the M1 Mac mini vs the previous generation Mac mini with a 3.2 GHz 6-core i7. When Stata is run natively, the M1 is around 35% faster than the i7 on both SE and MP.
Stata/SE under Rosetta 2 is just slightly faster on the M1 vs an iMac with a 3.6 GHz 8-core i9. This iMac costs about 2.5 times as much as the M1 Mac mini. Stata/MP under Rosetta 2 is 10% faster on the M1 vs the i9. The M1 is about 30-35% faster than the i9 when Stata is run natively.
Keep in mind though that the first Macs with Apple Silicon are entry-level Macs and max out at 16 GB of memory. If you're working with big datasets, you may want to wait to see what else Apple has in store.
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Re: Import COVID-19 data from Johns Hopkins University
How can we modify this loop to include 2021 dates as well?
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Re: Estimation under omitted confounders, endogeneity, omitted variable bias, and related problems
Enrique, thank you for sharing how to handle endogeneity issue. I really enjoy reading it!
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Re: Stata/Python integration part 5: Three-dimensional surface plots of marginal predictions
Hi,
Thanks for the interesting tutorial. There are lot of possibilities.
But when I tried to follow the instructions, I had a problem.
After typing this command:
ax.plot_trisurf(data['age'], data['weight'], data['pr_highbp']),
I received this message:
mpl_toolkits.mplot3d.art3d.Poly3DCollection object at 0x000000000A854C50.
Do you any idea about what's happening?
Stata 16.1
Windows 10 64bit
Python 3.7.0
Luis
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