Created by Francisco E. Fontúrbel 😎
This repository presents a comprehensive R course intended for self-learning and build capacities in statistical analysis using R, R Studio, and RMarkdown language (not familiar with Markdown? start here!).
01.- Managing and operating objects in R
02.- Making awesome plots in R
03.- Simple hypothesis test in R
04.- Other ANOVA designs part 1
05.- Other ANOVA designs part 2
06.- Other ANOVA designs part 3
07.- MANOVA
08.- Linear regression and correlation
09.- Multiple linear regression
10.- Model averaging and regression trees
11.- Generalized Linear Models and data distributions
12.- Generalized Estimation Equations and special distributions
13.- Generalized Additive Models
14.- Mixed-effects Generalized Linear/Additive Models
15.- Spatially-explicit Generalized Linear/Additive Models
16.- ANOSIM and SIMPER
17.- PCA and nMDS
18.- Biodiversity analysis in R
19.- Basic time series analysis
20.- Circular statistics
This first edition (c) 2022 is composed by 20 lessons, but more lessons are expected to be added in the near future (have any suggestions? please let me know).
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This information is provided under a Creative Commons BY-SA license. Therefore, you may freely use this material, but you must (i) give the appropriate credit to the authors by citing this repository and its doi, and (ii) if you transform, remix, or build upon this data, the resulting dataset should be shared under the same license conditions.
