Statistical Data Analysis

How to Choose Appropriate Clustering Method for Your Dataset The post How to Choose Appropriate Clustering Method for Your Dataset appeared first on finnstats. If you are interested to learn more about data science, you can find more articles here finnstats. How to Choose Appropriate Clustering Method, Data clustering is a crucial step in creating a complete....

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Time Series Analysis in R Part 3: Getting Data from Quandl This is part 3 of a multi-part guide on working with time series data in R. You can find the previous parts here: Part 1, Part 2. Generated data like that used in Parts 1 and 2 is great for sake of example, but not very interesting to work with. So let’s get some real-world […] Related Post Pulling…

ggplot2 SEM models with tidygraph and ggraph here to share a ggplot2-based function for plotting path analysis/structural equation models (SEM) fitted with Yves Rosseel’s lavaan package. Background SEM and its related methods (path analysis, confirmatory factor analysis, etc.) can be visualized as Directed Acyclic Graphs with nodes r...

Time Series Analysis in R Part 2: Time Series Transformations In Part 1 of this series, we got started by looking at the ts object in R and how it represents time series data. In Part 2, I’ll discuss some of the many time series transformation functions that are available in R. This is by no means an exhaustive catalog. If you feel I left […] Related Post Time...

Naive Principal Component Analysis (using R) Post from Pablo Bernabeu’s blog. Principal Component Analysis (PCA) is a technique used to find the core components that underlie different variables. It comes in very useful whenever doubts arise about the true origin of three or more variables. There are two main methods for performing a PCA: naiv...

Migrating from GitHub to GitLab with RStudio (Tutorial) GitHub vs. GitLab Git is a distributed implementation of version control. Many people have written very eloquently about why it is a good idea to use version control, not only if you collaborate in a team but also if you work on your own; one example ...

One-way ANOVA in R Suppose as a business manager you have the responsibility for testing and comparing the lifetimes of four brands (Apollo, Bridgestone, CEAT and Falken) of automobile tyres. The lifetime of these sample observations are measured in mileage run in ’000 miles. For each brand of automobile tyre, sample…

Big Data Solutions: A/B t test | R-bloggers here to share my code for using Welch's t-test to compare group means using summary statistics. Motivation I've just started working with A/B tests

Welch–Satterthwaite equation - Wikipedia In statistics and uncertainty analysis, the Welch–Satterthwaite equation is used to calculate an approximation to the effective degrees of freedom of a linear combination of independent sample variances, also known as the pooled degrees of freedom,[1][2] corresponding to the pooled variance.