If you want to learn how to perform real advanced statistical analyses in the R program, you have come to the right place.
Now you don’t have to scour the web endlessly in order to find how to do an analysis of covariance or a mixed analysis of variance, how to execute a binomial logistic regression, how to perform a multidimensional scaling or a factor analysis. Everything is here, in this course, explained visually, step by step.
So, what’s covered in this course?
First of all, we are going to study some more techniques to evaluate the mean differences. If you took the intermediate course- which I highly recommend you – you learned about the t tests and the between-subjects analysis of variance. Now we will go to the next level and tackle the analysis of covariance, the within-subjects analysis of variance and the mixed analysis of variance.
Next, in the section about the predictive techniques, we will approach the logistic regression, which is used when the dependent variable is not continuous – in other words, it is categorical. We are going to study three types of logistic regression: binomial, ordinal and multinomial.
Then we are going to deal with the grouping techniques. Here you will find out, in detail, how to perform the multidimensional scaling, the principal component analysis and the factor analysis, the simple and the multiple correspondence analysis, the cluster analysis (both k-means and hierarchical) , the simple and the multiple discriminant analysis.
So after finishing this course, you will be a real expert in statistical analysis with R – you will know a lot of sophisticated, state-of-the art analysis techniques that will allow you to deeply scrutinize your data and get the most information out of it. So don’t wait, enroll today!
How to check the assumptions of the analysis of covariance
The basics of the within-subjects analysis of variance
How to perform paired comparisons in the within-subjects analysis of variance
analysis of variance - basics
Mixed analysis of variance - the basics
How to compute the main effects in the mixed analysis of variance
How to perform the Friedman test
All the codes used in the lectures 2-11, for your reference
Practical exercises for the lectures 2-11
The basics of the binomial logistic regression
How to compute the goodness-of-fit indicators for the binomial regression
The basics of the multinomial logistic regression
How to interpret the coefficients (antilogs) of the multinomial logistic regression
How to compute the goodness-of-fit indicators for a multinomial regression
The basics of the ordinal logistic regression
How to interpret the coefficients (antilogs) of the ordinal logistic regression
How to compute the goodness-of-fit indicators for an ordinal regression
How to check the assumption of proportional odds
All the codes used in the lectures 14-22, for your reference
Practical exercises for the lectures 14-22
How to run a multidimensional scaling when data are NOT distances between objects
How to run a multidimensional scaling when data ARE distances between objects
The basics of the factor analysis technique
How to compute the sample adequacy indicators for the factor analysis, in R
How to perform a simple correspondence analysis in R
How to run a multiple correspondence analysis in R
How tu run a simple discriminant analysis in R
How to execute a multiple discriminant analysis
All the codes used in the lectures 25-34, for your reference
Practical exercises for the lectures 25-34
Here you can download the CSV files and the R files.
My name is Bogdan Anastasiei and I am an assistant professor at the University of Iasi, Romania, Faculty of Economics and Business Administration. I teach Internet marketing and quantitative methods for business. I am also a business consultant. I have run quantitative risk analyses and feasibility studies for various local businesses and been implied in academic projects on risk analysis and marketing analysis. I have also written courses and articles on Internet marketing and online communication techniques. I have about 20 years experience in teaching and about 10 years experience in business consulting.