hamannlab

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63 videos

Andreas Hamann's Video Channel for Statistics and Data Science University of Alberta, Department of Renewable Resources Faculty website: http://www.ualberta....

Latest Videos

Building a Deep Neural Network (DNN) core with 20 lines of base-R code from scratch

Installing Tensorflow-GPU and Keras for R (and Python) on Windows in 2024

11.5. Graphical Tools for Multivariate Statistics (mv690, graphics)

2.2. R Setup for WinMac and Working Efficiently with Scripts (mv690, r-efficient)

2.1b. An Introduction to the R Programming Environment (mv690, r-intro)

2.1. An Introduction to the R Programming Environment (rr480, r-intro)

3.1. The Convention of Standard Data Tables (rr480, datatables)

3.3. Data Table Concepts and Variable Types (rr480, tableconcepts)

1.3. Your Univariate Statistical Toolbox (rr480, toolbox)

1.2. Acid Tests for Real Hypotheses Science 1, Statistics 0 (rr480, hypotheses)

1.1. Applied Statistics for the Life & Environmental Sciences (rr480, intro)

14.4. Lab walk trough Interpretation of CART, MRT, randomForest examples (mv690, cart2)

14.3. Multivariate Classification and Regression Trees CART, MRT (mv690, cart1)

14.2. Gradient Analysis Lab Interpretation of CanCor, CCA, RDA Examples (mv690, gradient2)

14.1. Multivariate Gradient Analysis CanCor, CCA, RDA (mv690, gradient1)

13.2. Multivariate Statistical Testing - MRPP, perMANOVA (mv690, permanova)

13.1. Multivariate Inferential Statistics, MANOVA, MRPP, perMANOVA (mv690, inferential)

12.3. Multivariate Clustering Techniques (mv690, cluster)

12.2 Distance-based Ordinations - NMDS, MDS, PCoA, PO (mv690, ordination)

12.1. Distance-based Multivariate Methods (mv690, distance)

11.7. Assumptions of Classical Multivariate Methods (mv690, assumptions)

11.6. Discriminant Analysis, MANOVA (mv690, discrim)

11.4. Factor Analysis (mv690, factor)

11.2. PCA continued, Matrix Rotation (mv690, pca2)

11.3. Lab walk-through PCA Interpretation (mv690, pca3)

11.1. The Concept of Coordinate Rotation & PCA (mv690, pca1)

Project support - Touch-up of R graphics in Powerpoint

Project support - Graphics plots with log scales in R

10.3. Tests for Binomial Data (rr480, binomial)

10.2. Non-Parametric Rank Sum Tests (rr480, ranksum)