Watch Queue
Queue
Watch QueueQueue
The next video is starting
Loading...
Watch Queue
Queue
Watch Queue
Queue
__count__/__total__
-
1
Data analysis methods summary
-
2
Principal component analysis (part1: data - practicalities)
-
3
Principal component analysis (part 2/3: studying individuals and variables)
-
4
Principal component analysis (part 3/3: interpretation aids)
-
5
Principal component analysis (PCA) with R
-
6
PCA with FactoMineR
-
7
Factoshiny: interactive graphs in exploratory multivariate data analysis
-
8
Handling missing values in PCA
-
9
Correspondence Analysis (part 1/5): Introduction
-
10
Correspondence Analysis (part 2/5): Visualizing the row and column clouds
-
11
Correspondence Analysis (part 3/5): Inertia and percentage of inertia
-
12
Correspondence Analysis (part 4/5): Simultaneous representation
-
13
Correspondence Analysis (part 5/5): Interpretation aids
-
▶
Correspondence Analysis with FactoMineR
-
15
Text mining with correspondence analysis
-
16
Mutltiple Correspondence Analysis (Part 1/4: Data - issues)
-
17
Multiple Correspondence Analysis (part 2/4: Visualizing the point cloud of individuals)
-
18
Multiple Correspondence Analysis (Part 3/4: Visualizing the cloud of categories)
-
19
Multiple Correspondence Analysis (Part 4/4: Interpretation aids)
-
20
Multiple Correspondence Analysis with FactoMineR
-
21
Multiple correspondence analysis on an incomplete dataset
-
22
Handling missing values in MCA
-
23
Clustering (part 1/4: introduction)
-
24
Clustering (part 2/4: example and how to choose the number of clusters)
-
25
Clustering (part 3/4: the partitioning method K-means)
-
26
Clustering (part 4/4: characterizing clusters)
-
27
Clustering with FactoMineR
-
28
Factorial Analysis on Mixed Data
-
29
Tools to interpret the results obtained by principal component methods (PCA, MCA, MFA)
-
30
Multiple Factor Analysis (MFA) with R using FactoMineR
Correspondence Analysis with FactoMineR
Transcript
Rating is available when the video has been rented.
This feature is not available right now. Please try again later.