Articles by Michy Alice

How to sort a list of dataframes

April 13, 2016 | Michy Alice

A method to gather data from different sources, sort them and keep a reference to the origin of each subset, plus some efficiency considerations The post How to sort a list of dataframes appeared first on MilanoR. [Read more...]

Modelling Dependence with Copulas in R

October 18, 2015 | Michy Alice

A copula is a function which couples a multivariate distribution function to its marginal distribution functions, generally called marginals or simply margins. Copulas are great tools for modelling and simulating correlated random variables. The main appeal of copulas is that by using them you can model the correlation structure and ... [Read more...]

Imputing missing data with R; MICE package

October 4, 2015 | Michy Alice

Missing data can be a not so trivial problem when analysing a dataset and accounting for it is usually not so straightforward either. If the amount of missing data is very small relatively to the size of the dataset, then leaving out the few samples with missing features may be ... [Read more...]

Fitting a neural network in R; neuralnet package

September 23, 2015 | Michy Alice

Neural networks have always been one of the most fascinating machine learning model in my opinion, not only because of the fancy backpropagation algorithm, but also because of their complexity (think of deep learning with many hidden layers) and structure inspired by the brain. Neural networks have not always been ... [Read more...]

How to perform a Logistic Regression in R

September 13, 2015 | Michy Alice

Logistic regression is a method for fitting a regression curve, y = f(x), when y is a categorical variable. The typical use of this model is predicting y given a set of predictors x. The predictors can be continuous, categorical or a mix of both. The categorical variable y, in ... [Read more...]

Fitting Polynomial Regression in R

September 10, 2015 | Michy Alice

A linear relationship between two variables x and y is one of the most common, effective and easy assumptions to make when trying to figure out their relationship. Sometimes however, the true underlying relationship is more complex than that, and this is when polynomial regression comes in to help. Let ... [Read more...]

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