Quantitative Data analysis using “R” (via R-Studio)
Within three days you will learn how to prepare your data for data analysis in R (using R-Studio) and how to perform basic and some more advanced statistical data analysis like correlation and regression analysis and the comparison of two or more groups/means using t-tests and analyses of variance. We will focus on the application of these methods given some real-life inspired data from medical, economic and sociological studies. We will also discuss some fundamental statistical and methodological issues like the relation between p value, effect size and sample size, and how to handle missing values.
Get in touch with R
- Basic usage and principals
- Enter and edit data in R
How to compute and interpret basic statistic
- Mean, standard deviation
- Median, percentiles,
- Confidence intervals
How to perform most common statistical data analysis
- Statistical associations (cross tables, correlations, regression analysis)
- Compare two or more means / groups (t-tests, analyses of variance)
How to report and especially how to interpret your results given the test results, p value, effect size and sample size.
This course is conducted on English with R 3.5 (or higher) and R-Studio 1.2 (or higher). During this course, you will be able to ask questions and get answers from our Statistics experts.
Because R is a programming language for statistical computations, you should be ready to learn a programming language and don’t expect to learn how to use a program like SPSS.
You don't need data, but in case you have a working example you want to analyse, you are always welcome to share it with the group.
Basic knowledge of your operating system (Windows or Mac).
The price in different currency is 8700 SEK / 8700 NOK / 870€ / 870£.
|Start dato||13. maj 2020, 9:30|
|Slut dato||15. maj 2020, 16:00|
|Sidste frist||29. Apr 2020, 10:00|
|Pris||9600 NOK/960Euro + tax|
|Speaker||Sebastian Ullrich, punkt05 Statistikberatung|
|Det foregår||Lillestrøm, Alfasoft AS|