Antichamber Vr

[Brittany Bhadd]

Postinga project smaller in scope, prototyping an idea for my portfolio.

I was inspired to create a 3d cube similar to the game antichamber, where every side of the cube would display a different world entirely.

I began trying to accomplish this in by using a regular mesh with a CubeTexture overlapped over it.

The texture would be white entirely apart from a single side that would be transparent, this method would work with only a single pane since trying to overlay a bunch of boxes would result in Z-fighting.

In short, I created 6 different meshes each assigning with a stencilId, and 6 different portals each assigned to the pane of the cube, the result is a cube that viewing from each pane shows a different world!

Stata is a very complete statistical software that is used in various fields: economics, sociology, epidemiology etc. It offers many classical and advanced functions: robust estimation methods, survival analysis, time series analysis, epidemiology tables etc. Moreover, it is possible to adapt existing functions or create new ones and share them with the community of Stata users that offers assistance and a lot of resources.

Prerequisites

This training requires a basic knowledge of statistics and is designed people who are already experienced using Stata. As a minimum, you should be able to use Stata for a STATISTICAL analysis of some sort (e.g. linear regression) generate variables, and be comfortable writing do files. If you have already made extensive use of [foreach] or [forvalues] loops, macros and extended macros, can write a Stata programme and know how to make complex graph and publication-ready Latex tables, then this course may be too basic for you. By registering for this training, you commit to a level of knowledge equivalent to the following training(s):Data management and analysis using Stata

Content

1. Advanced data discovery and processing Stata has some powerful, unsuspected commands for importing various types of data, discovering, and assessing their characteristics. We show the use of system and subscribed variables to navigate, transform and analyze data. We explain how to process observations across subgroups using Stata prefixes (i.e. the antichamber of programming).2. Export publication-ready graphs and tables

With Stata is possible to access, test, transform/select and export relevant estimation results. Stata has excellent graph capabilities and we show you how to make the most of these. We teach a variety of methods to send the results you require, nicely formatted, to other datasets, to documents and spreadsheets, and to Latex. This includes the use of commands within Stata, additional user-written Stata commands and some simple programming.3. And what is more, programming Stata Many steps of a data-intensive research project can be repetitive and time consuming. But most of these tasks -- including the statistical analysis or reporting steps -- can be automated in Stata using macro, extend macros, (parallel) lists, simple or imbricated loops. This not only speeds up the process but also reduces the chances of making an error. We cover the use of programming techniques to assist you in quickly and efficiently carrying out repetitive tasks, also dramatically reducing the overall length of your code. We also teach you to write a Stata program to create new Stata commands.

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