Statistical Aid: A School of Statistics
Learn Statistics and Data Analysis Intuitively!
A two-way ANOVA test is a statistical test used to determine the effect of two nominal predictor variables on a continuous outcome variable. A two-way ANOVA tests the effect of two independent variables on a dependent variable. This blog post contains the following steps of two-way ANOVA in r: Introduction to two-way ANOVA We can use … Read more
Cluster analysis is a statistical technique that groups similar observations into clusters based on their characteristics. It is a statistical method of processing data. A good cluster analysis produces high-quality clusters with high inter-class correlation. This blogpost contains the following steps of cluster analysis: Introduction to cluster analysis Clustering is the task of dividing the … Read more
PCA means Principal Component Analysis. Principal Component Analysis (PCA) is a powerful dimensionality reduction technique widely used in statistics, machine learning, and data analysis. In simpler terms, it’s a way to simplify complex data by reducing the number of variables while retaining the most important information. PCA is a multivariate technique that is used to … Read more
ICA means Independent Component Analysis. It is the most powerful and widely used statistical technique which is used to separate independent sources from their mixture. It is also known as a blind source separation technique. More precisely, Independent Component Analysis plays a crucial role in signal processing and data analysis. Researchers and engineers use ICA … Read more
Import data into R software is a easy process by which we can impots spss data set, stata data set, sas data set, excel, csv and other data set easily. R is a statistical analytics tool which free to use and it is a command based analytics tool. Import data into R from SPSS The … Read more
Canonical correlation analysis (CCA) determines a set of canonical variates, orthogonal linear combinations of the variables within each set that best explain the variability both within and between sets. It is used to identify and measure the associations among two sets of variables. How to perform canonical correlation analysis in R? Follow this step to find canonical … Read more
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