In R programming, function aggregate() provides an easy way to calculate summary statistics of variables by specific groups in a…
The normality assumption in linear regression is necessary to ensure the estimates of parameters are unbiased and the hypothesis testing…
Dictionary is a data structure type in Python. One reason for why Python is so popular among programmers is that…
In R programming, the value 'NA' is used to represent a missing value. Say we try to read a csv…
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…