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Scortchi
Scortchi
1:34 PM
It's not obvious what aspect you're asking about, but it'd probably be a good question for the main site if you explained.
In r's stats package, e.g. dnorm is the normal distribution function & qnorm the normal quantile function, & the same naming convention is followed for other distributions.
 
 
6 hours later…
hxd1011
hxd1011
7:22 PM
@whuber my question is on hold, is asking computational complexity is out of topic here?
0
Q: Is there empirical guideline on How fast R can run LM or GLM for large amount of data?

hxd1011We know R uses QR decomposition to solve linear regression and use Newton-Raphson (fishier scoring) to solve GLM, But is there any general guideline on how fast it can run with a desktop computer / how much data in terms of rows and columns it can handle in "reasonable" time? I am looking for em...

r machine-learning computational-statistics large-data
is there anyway I can change it and make it on topic?
 
whuber
whuber
@hxd1011 Computational complexity is relevant and interesting. I voted to close your question because it appears to ask only about R.
 
hxd1011
hxd1011
@whuber thanks. i will try to revise. I personally think this question is important. I have seen too many people blandly run a command, and have no idea how long to wait or even it is feasible.
 

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