PostgreSQL is a commonly used database language for creating and managing large amounts of data effectively. Here, you will see how to: 1) create a PostgreSQL database using the Linux terminal 2) connect the PostgreSQL database to R using the […]

Continue reading »# Category: R

# Creating functions in R

Functions are used to simplify a series of calculations. For instance, let us suppose that there exists an array of numbers which we wish to add to another variable. Instead of carrying out separate calculations for each number in the […]

Continue reading »# Poisson and Cumulative Binomial Probabilities

A Poisson Distribution is a probability distribution which calculates the probability of a set of independent occurrences within a fixed time or space. e.g. Let us suppose that a prestigious college receives 1000 applications in a particular time interval. On […]

Continue reading »# Creating maps in R using ggplot2 and maps libraries

Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R. In this particular example, we’re going to create a world map showing the points of Beijing and Shanghai, both cities in China. For […]

Continue reading »# Variance-Covariance Matrix in R (corpcor, covmat)

The following tutorial demonstrates how to calculate a variance-covariance matrix in R, along with shrinkage estimate of covariance and the calculation of a covariance into a correlation matrix. The purpose of a variance-covariance matrix is to illustrate the variance of […]

Continue reading »# Linear Models in R: OLS and Logistic Regressions

We use linear models primarily to analyse cross-sectional data; i.e. data collected at one specific point in time across several observations. We can also use such models with time series data, but need to be cautious of issues such as serial […]

Continue reading »# Cross-Correlation Function In R (ccf)

When working with a time series, one important thing we wish to determine is whether one series “causes” changes in another. In other words, is there a strong correlation between a time series and another given a number of lags? […]

Continue reading »# Chow Test For Structural Breaks in Time Series

A Chow test is designed to determine whether a structural break in a time series exists. That is to say, a sharp change in trend in a time series that merits further study. For instance, a structural break in one […]

Continue reading »# Text Mining and Search Analytics Using Python and R

The following example illustrates how text mining capabilities in Python and R can be used in order to analyse a text file with a set of words, and how these words can be split into separate categories with the frequency […]

Continue reading »# neuralnet: Train and Test Neural Networks Using R

A neural network is a computational system frequently employed in machine learning to create predictions based on existing data. In this example, we will use the neuralnet package in R to train and test a neural network model. A typical […]

Continue reading »