Construct, view and analyse atomic structures

We'll let R do the work.

This is the TNC network which we analyzed.

We're almost at the correlation matrix.

3D Structure Segmentation

And now I have a variance co variance matrix.

That's just dividing by N.

Parsing the folder structure...

It's pretty cool.

Because those correlations were based on samples that had a broader range of cognitive ability.

I can tell you my hand isn't really able to draw 60,000 points.

Molecule puzzle game

So, it's, it's sort of nice that we're, we're addressing this issue now in a sort of easy example rather than later when we get in to analysis of variants and it gets complicated.

Crystalline and Molecular Structure Visualisation Program

The mean is now a vector with 1 element for each of the variance.

Advanced molecular editor

I don't know. It looks too simple.

Adenine, that's up here.

Otherwise it doesn't work.

And we're gonna do inovas later in the course, that's analysis of variance.

We're just standardizing, the variances to be one.

Analysis

And co variance will be an important concept as we move forward, especially into multiple regression and the analysis of variance.

We didn't have any fancy caching. I just used in memory hash tables.

And, if X and Y overlap, if they co vary.

And the co variances to fall between negative one and positive one essentially to be correlations, alright.

We take the product of the variance of x and the variance of y modally with the normalizers and we get something quadratic even in variance space.

Dispersion

Variance

It's gray, formless.

Nobody gets up in the morning and thinks,

The mean is easily calculated it's 2 and 4.

You can see it over here 10, 8, 6, 4, and 2.

Don't let me skip over that. Better biofuels are a really big deal.

What we have is very, very structured.

Non parametric MRI Analysis

EXAFS data analysis

UIMA Document Analyzer

Analysing the audio file

Analyzing medium...

Full analysis

Forward

Backward

Backwards

It's very exciting work.