Explanation
Advanced R Statistics If you want to learn how to do advanced statistical analysis in R, you’ve come to the right place. Now you don’t have to endlessly search the web to find out how to do covariance analysis or mixed analysis of variance, how to perform binomial logistic regression, how to do multivariate scaling or analytical analysis. Everything is here, in this course, explained visually, step by step. First, we will learn more techniques to evaluate the variance of the mean. If you’ve taken the moderation course – which I highly recommend – you’ve learned about t-tests and between-subjects analysis of variance. We will now move to the next level and deal with analysis of covariance, within-subjects analysis of variance and mixed analysis of variance.
Next, in the section on forecasting techniques, we will approach logistic regression, which is used when the dependent variable is not continuous – in other words, it is categorical. We will study three types of logistic regression: binomial, ordinal and multinomial. Then we will deal with grouping techniques. Here you will find, in detail, how to perform different scales, principal component analysis and factor analysis, simple and multivariate analysis of correspondence, cluster analysis (both k-means and hierarchical), simple and multiple. . discriminant analysis. So after completing this course, you will be a real expert in statistical analysis in R – you will know many sophisticated, sophisticated analytical techniques that will allow you to deeply analyze your data and get the most information. . among them. So don’t wait, sign up today!
What will you learn?
- perform conflict analysis
- run a one-way within-subjects variance
- run a two-way between-subjects analysis of variance
- perform a mixed analysis of variance
- perform the non-parametric Friedman test
- perform a binomial logistic regression
- run a multinomial logistic regression
- perform a standard logistic regression
- perform multidimensional scaling
- perform principal component analysis and factor analysis
- perform simple and multiple document analysis
- run cluster analysis (k-means and hierarchy).
- perform simple and multiple discriminant analysis
Who is this course for?
- students
- PhD candidates
- academic researchers
- business researchers
- University teachers
- anyone seeking employment in the field of statistical analysis
- anyone interested in quantitative analysis
Statistically Unique R – Advanced
- Publisher: Udemy
- Teacher: Bogdan Anastasia
- Language : English
- Level: Expert
- Number of courses: 37
- Duration : 4 hours and 15 minutes
Statistical Content with R – Advanced
Requirements
- R and R studio
- Advanced statistical knowledge
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
3.37 GB