Introducing Brewhouse's Rails Template. We’ve shipped over a dozen Ruby on Rails apps that all share the same base set of gems and configuration files.
In order to save some time and ensure that our next web apps share a common set of best practices, we’ve put together the brewhouse-rails-template. The brewhouse-rails-template is a Ruby on Rails 4.2 application ready to deploy to Heroku with popular gems configured to work nicely together and a self-destroying script to bootstrap your app by renaming all configuration and classes to your application name. What about generators? We reviewed the excellent Suspenders gem by Thoughtbot and found it bundles quite a number of gems we don’t use. Customizing it to suit our needs would have been quite difficult and maintaining a fork would have been even harder. We also experimented with building a Rails application template that we could use when creating a new Rails app to set up gems and modify configuration files.
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Untitled. Using R for statistical analyses - Simple correlation. Correlation and Significance tests Getting a correlation coefficient is generally only half the story; you will want to know if the relationship is significant. The cor() function in R can be extended to provide the significance testing required. The function is cor.test() As above you need to read your data into R from a .CSV file and attach the factors so that they are all stored in memory. To run a correlation test we type: > cor.test(var1, var2, method = "method") Web development and deployment tools: CodeRun.
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