Discover the power of cluster analysis in R with this comprehensive blog post. Learn the essential techniques, interpret the results, and gain valuable insights from your data.

MANOVA (Multivariate analysis of variance) is an extension of ANOVA (Analysis of Variance) technique, which is used to compare means across different groups for a single dependent variable. In MANOVA, the dependent variables are correlated, and the analysis takes into account their…

In this post, I have showed complete procedure of enabling R kernal for Jupyter Notebook, so that you can use R in Jupyter Notebook.

The Kaplan–Meier estimator, often known as the product limit estimator, is a non-parametric statistic used to estimate the survival function using lifetime data. In this post, we will see how to estimate the survival function in this method using R.

Nothing is better resource than a book. So, in this post, I’ve shared some books that have been extremely helpful to me in my quest …

The normality of data is crucial in parametric hypothesis tests. Because all the parametric tests are based on normal distribution. The central limit theorem states that if the sample size is sufficiently large, the data will be normally distributed. But it may not be attained in all the cases. …

পরিসংখ্যান বিষয়টি আসলে এমন এক বিষয় যে বিষয়ের গ্রাজুয়েটদের ছাড়া প্রায় সব ধরনের ব্যবসা, শিল্প ও গবেষণা প্রতিষ্ঠান অচল। মৌলিক বিষয়গুলোর মধ্যে এটি এমন এক বিষয় যার বাণিজ্যিক চাহিদা সব সময়ই অন্যগুলো থেকে বেশি। তাই এই বিষয়ে ক্যারিয়ার গঠনে…

R is great for data visualization. One of the amazing packages in visualization in R is the ggplot2. Hadley Wickham created ggplot2 in 2005 as an implementation of Leland Wilkinson’s Grammar of Graphics. It divides graphs into semantic components like scales and layers.

R is great for data visualization. One of the amazing packages in visualization in R is the ggplot2. Hadley Wickham created ggplot2 in 2005 as an implementation of Leland Wilkinson’s Grammar of Graphics. It divides graphs into semantic components like scales and layers.

Markov Chain is a special type of stochastic process. It is a popular and straightforward way to statistically model a discrete-time, discrete space stochastic processes. In this post I will show a practical example of markov chain. Let’s try to map the movement of freelancer drivers in Dhaka. We …