 # Julia for statistics

Distributionsjl. Welcome to EmpiricalRisks’s documentation! — EmpiricalRisks 0.2.3 documentation. This package provides the basic components for (regularized) empirical risk minization, which is generally formulated as follows As we can see, this formulation involves several components: Prediction model: , which takes an input and a parameter and produces an output (say ).Loss function: , which compares the predicted output and a desired response , and produces a real value that measuring the loss. Generally, better prediction yields smaller loss.Risk model: , the prediction model and the loss together are referred to as the risk model. When the data x and y are given, the risk model can be considered as a function of theta.Regularizer: is often introduced to regularize the parameter, which, when used properly, can improve the numerical stability of the problem and the generalization performance of the estimated model.

All functions in this packages are well optimized and systematically tested. Titanic with Julia - Of Data Monsters. This is an introduction to Data Analysis and Decision Trees using Julia. Getting Started — dataframesjl 0.6.0 documentation. Installation The DataFrames package is available through the Julia package system. Throughout the rest of this tutorial, we will assume that you have installed the DataFrames package and have already typed using DataArrays, DataFrames to bring all of the relevant variables into your current namespace. In addition, we will make use of the RDatasets package, which provides access to hundreds of classical data sets. The NA Value¶ To get started, let’s examine the NA value. One of the essential properties of NA is that it poisons other items. The DataArray Type¶ Now that we see that NA is working, let’s insert one into a DataArray. Dv = @data([NA, 3, 2, 5, 4]) To see how NA poisons even complex calculations, let’s try to take the mean of the five numbers stored in dv: In many cases we’re willing to just ignore NA values and remove them from our vector.

Introducing Julia/DataFrames. DataFrames This chapter is a brief introduction to Julia's DataFrames package.   