# Category: Methods

## Confidence Intervals Explained

A confidence interval (CI) is a set of numbers that most likely contains the value of an unknown population parameter. Given the properties of your sample data, these intervals represent a realistic domain for...

## Predictive Analytics Models in R

Predictive analytics models are crucial in the fields of data science and business analytics, and they have a big impact on a lot of different business operations. Depending on the data amount in terms...

## Markov Chain Introduction in R

The Markov chain is used to explain even the most complex real-time events. Markov chain is used in some form by speech recognition, text identifiers, path recognition, and many other Artificial Intelligence systems. In...

## Monte Carlo Analysis in R

Monte Carlo analysis in R, If there’s one probability trick you should know, it’s how to write a Monte Carlo simulation. You can write a Monte Carlo simulation if you know how to program,...

## Stock Market Predictions Next Week

Stock market predictions next week, let’s go right to the point; for the sake of illustration, we’ll choose one stock at random. Take a look at the “A” price data. During the trading day,...

## Convert column to categorical in R

In R, as.factor is used to convert a column to a categorical variable (). Let’s look at an example of how to convert column type to categorical in R. Let’s start by making the...

## Imputing missing values in R

Imputing missing values in R, When an observation is missing in a column of a data frame or has a character value instead of a numeric value, it is referred to as a missing...

## How to Calculate a Cumulative Average in R

Cumulative Average in R, The average of a series of values up to a certain point is given by a cumulative average. In R, you can calculate the cumulative average of values using the...

## Convert data frame to array in R

Convert data frame to array in R, A data frame is a table or a two-dimensional array-like structure in which each column has the values of a single variable and each row holds one...

## Poisson Functions in R Programming

Poisson Functions in R Programming, the likelihood of a certain number of events occurring in a given period of space or time if these occurrences occur at a known constant mean rate is represented... 