User Marc in the box - Cross Validated

Marc in the box

Member for 11 years, 7 months
Last seen more than a month ago

menugget.blogspot.com

15 Answers

Score Activity Newest

40 votes

How to use R prcomp results for prediction?

answered Oct 15, 2013 at 13:50

38 votes

Accepted

How to perform dimensionality reduction with PCA in R

answered Apr 28, 2013 at 5:41

32 votes

Imputation of missing values for PCA

answered Nov 8, 2012 at 8:19

22 votes

How to determine significant principal components using bootstrapping or Monte Carlo approach?

answered Feb 21, 2013 at 10:19

10 votes

Accepted

Showing spatial and temporal correlation on maps

answered Oct 13, 2013 at 10:19

7 votes

Accepted

Iterative PCA R

answered Jul 2, 2013 at 7:49

5 votes

Accepted

How to use SVD for dimensionality reduction

answered Jul 15, 2013 at 14:30

5 votes

Accepted

Why are the singular values of a standardized data matrix not equal to the eigenvalues of its correlation matrix?

answered Nov 6, 2014 at 6:48

3 votes

For a random matrix, shouldn't a SVD explain nothing at all? What am I doing wrong?

answered Apr 10, 2016 at 10:17

3 votes

Predict only the first N principal components in a PCA analysis

answered Feb 27, 2014 at 8:43

3 votes

Why such a poor result from sparse PCA R package?

answered Aug 2, 2013 at 11:50

3 votes

Generating correlated numbers with predefined correlations

answered Apr 23, 2012 at 12:45

2 votes

Generating visually appealing density heat maps in R

answered Apr 18, 2012 at 14:32

1 vote

Comparing beta coefficient of same variable from two different models in R

answered Dec 18, 2018 at 10:24

1 vote

Accepted

Can empirical orthogonal function (EOF) analysis be used as a predictive model?

answered May 23, 2012 at 8:12