We provide effective and economically affordable training courses for R, Python and Statistics, click here for more details and course…
In R programming, function aggregate() provides an easy way to calculate summary statistics of variables by specific groups in a…
n this post, we show how to generate random numbers into vector and matrix in R programming, from various statistical…
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…
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…
When a correlation, usually Person type correlation, is calculated, two variables have to be continuous. But this requirement does not…
A Student t-distributed random variable is modeling the ratio between a standard Normal random variate and square root of a…
Poisson distribution is a discrete distribution. It is frequently used to model the counts of event occurrence during a specified…