Empowering Computer and Statistics
Regression methods model the relationship between independent and dependent variables. Linear regression models are widely used; however, they may not be suitable when the relationship between variables isn’t linear. Polynomial regression is an alternative that models the relationship of the dependent variable as a polynomial function of the independent variable. This post (from Armancomputer blog) […]
In the previous article entitled Statistical Distribution and Its Density Plot Shiny Application – Part 1, we learned how to draw the graph of the density function of a distribution by generating random numbers from that distribution. In this article, we will solve the disadvantages and problems that existed in the previous program and provide […]
In the previous post entitled Random Numbers, we mentioned how to generate random numbers from the normal distribution in the R programming language showing statistical distribution and its density plot. In this post, with the help of the Shiny library in R programming language, we will get the desired distribution type and parameter from the […]
The statistical approach to random numbers is very particular. In gambling and games of chance, random numbers have the main role. So, in a sequence of posts in Armancomputer magazine, I will discuss probability distribution and introduce some commands in R language, to generate random numbers from the main statistical distributions such as Normal, Uniform, […]
In this article, with the help of examples, the use of the switch function in R language reviewed in armancomputer scientific magazine which has an important role to program multiple conditions. As you know, R is a computational programming specially design for statistics. The switch function in R evaluates an expression against the elements of […]
