In data analysis it is often needed to set new values to a variable based on one or several conditions,…
R has rich resources of functions dealing with date values in data analysis. In this post, we introduce and show…
n this post, we show how to generate random numbers into vector and matrix in R programming, from various statistical…
It is not uncommon to generate random sequences in R programming. sample() function provides the feasibility of generating such random…
Linear regression is widely used to model the relationship between response or dependent variable and explanatory or independent variables. The…
The exponential distribution is modeling the probability distribution of the random time until next event occur in a Poisson event…
The elements of a list can be added or removed after it has been created. To add new elements at…
Python uses class for object-oriented programming. A class represents the general behavior or information that the programmer or data analyst…
When we do data analysis, random variables in the dataset are usually mutually correlated. Sometimes, we may want to measure…
Normal distribution is describing random variables with bell-shaped probability density functions. Normal distribution is widely used in data science because…