Complex calculation through c#
Date : March 29 2020, 07:55 AM
Does that help You're asking about expression evaluation. There is no need to reinvent the wheel, there are already many components available just for this purpose.

Complex Calculation
Date : March 29 2020, 07:55 AM
it helps some times I'm having a heck of a time getting this code to shake out correctly. I'm currently stuck at the very last line of text. I'm new to writing code all together. Everything I've learned has been found online and through this site. Please see the underlined notes below. Please help so i can see if my calculation even works... , Well you've a number of errors, consider: int a = ([_Price87.text floatValue]);
e+(a*e) => gal + $

Looking for big, complex sample data
Date : March 29 2020, 07:55 AM
should help you out These should fit your requirements The 1000 Genomes project makes 260 TB of human genome data available The Internet Archive is making an 80 TB web crawl available for research The TREC conference made the ClueWeb09 dataset available a few years back. You'll have to sign an agreement and pay a nontrivial fee (up to $610) to cover the sneakernet data transfer. The data is about 5 TB compressed. ClueWeb12 is now available, as are the Freebase annotations, FACC1 CNetS at Indiana University makes a 2.5 TB click dataset available ICWSM made a large corpus of blog posts available for their 2011 conference. You'll have to register (an actual form, not an online form), but it's free. It's about 2.1 TB compressed. The Proteome Commons makes several large datasets available. The largest, the Personal Genome Project, is 1.1 TB in size.

Representative sample size calculation.
Date : March 29 2020, 07:55 AM
Hope this helps It depends on the following two things: Confidence level: It tells you how sure you can be. The 95% confidence level means you can be 95% certain; the 99% confidence level means you can be 99% certain. Most researchers use the 95% confidence level. The population size of project A=10,000
Confidence Level = 95%
Confidence Interval =5%
So, representative sample size=370 (That means you should analyze 370 bug reports for project A)

Calculation of mean fundamental frequency of audio sample
Date : March 29 2020, 07:55 AM
Hope that helps I'll attempt to explain the concept... Signals in general can be defined by being a sum of sine waves. As you may or may not know, a sine wave can be defined mathematically with the equation Asin(ωt+φ) where A is the amplitude, ω is the angular frequency, t is the time, and φ is the phase shift. ω can be further replaced by 2πf where f is frequency in Hz (the unit used in the documentation you linked). When they refer to frequency in this context, you could think of it as a sine wave component of the original/raw signal.

