User chl

119 votes

Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?

answered Dec 28, 2010 at 7:09

108 votes

Accepted

Using principal component analysis (PCA) for feature selection

answered Apr 28, 2012 at 20:02

88 votes

How would you explain covariance to someone who understands only the mean?

answered Nov 10, 2011 at 10:50

87 votes

Accepted

How to tell if data is "clustered" enough for clustering algorithms to produce meaningful results?

answered Jun 8, 2011 at 8:43

87 votes

Accepted

When to use regularization methods for regression?

answered Nov 6, 2010 at 19:09

81 votes

Accepted

How to efficiently manage a statistical analysis project?

answered Sep 30, 2010 at 10:44

77 votes

Accepted

How to choose nlme or lme4 R library for mixed effects models?

answered Dec 10, 2010 at 10:40

69 votes

Accepted

Explain the difference between multiple regression and multivariate regression, with minimal use of symbols/math

answered Sep 3, 2010 at 19:03

66 votes

How to plot ROC curves in multiclass classification?

answered Aug 27, 2010 at 8:12

63 votes

How to calculate pseudo-$R^2$ from R's logistic regression?

answered Apr 20, 2011 at 23:21

58 votes

Accepted

Where to cut a dendrogram?

answered Oct 18, 2010 at 5:56

56 votes

Accepted

What is Deviance? (specifically in CART/rpart)

answered Jan 27, 2011 at 9:05

55 votes

Accepted

How to visualize what ANOVA does?

answered Dec 8, 2010 at 22:24

54 votes

Accepted

Is adjusting p-values in a multiple regression for multiple comparisons a good idea?

answered Sep 30, 2010 at 14:33

52 votes

Accepted

How to actually plot a sample tree from randomForest::getTree()?

answered Nov 1, 2012 at 10:02

51 votes

Accepted

Why is there a difference between manually calculating a logistic regression 95% confidence interval, and using the confint() function in R?

answered Dec 9, 2010 at 19:00

51 votes

Accepted

Kendall Tau or Spearman's rho?

answered Oct 24, 2010 at 14:26

51 votes

Accepted

Under what conditions should Likert scales be used as ordinal or interval data?

answered Aug 19, 2010 at 10:00

48 votes

Accepted

How to measure/rank "variable importance" when using CART? (specifically using {rpart} from R)

answered Jan 24, 2011 at 10:47

47 votes

Accepted

Choosing a clustering method

answered Oct 18, 2010 at 17:24

43 votes

Accepted

Best practice when analysing pre-post treatment-control designs

answered Oct 10, 2010 at 13:59

42 votes

Under what conditions does correlation imply causation?

answered Sep 10, 2010 at 12:33

41 votes

Accepted

Feature selection for "final" model when performing cross-validation in machine learning

answered Sep 2, 2010 at 10:46

40 votes

Accepted

Is interaction possible between two continuous variables?

answered Nov 27, 2010 at 20:47

39 votes

Accepted

Does it ever make sense to treat categorical data as continuous?

answered Nov 3, 2010 at 20:14

37 votes

Accepted

Correcting p values for multiple tests where tests are correlated (genetics)

answered Sep 18, 2010 at 14:32

37 votes

Accepted

How to plot decision boundary of a k-nearest neighbor classifier from Elements of Statistical Learning?

answered Jan 24, 2012 at 8:37

36 votes

Accepted

Inter-rater reliability for ordinal or interval data

answered Oct 13, 2010 at 6:12

36 votes

Accepted

Computing percentile rank in R

answered Jun 15, 2011 at 10:30

35 votes

Accepted

Explanation of finite population correction factor?

answered Dec 5, 2010 at 12:32

Stack Exchange Network

466 Answers

Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?

Using principal component analysis (PCA) for feature selection

How would you explain covariance to someone who understands only the mean?

How to tell if data is "clustered" enough for clustering algorithms to produce meaningful results?

When to use regularization methods for regression?

How to efficiently manage a statistical analysis project?

How to choose nlme or lme4 R library for mixed effects models?

Explain the difference between multiple regression and multivariate regression, with minimal use of symbols/math

How to plot ROC curves in multiclass classification?

How to calculate pseudo-$R^2$ from R's logistic regression?

Where to cut a dendrogram?

What is Deviance? (specifically in CART/rpart)

How to visualize what ANOVA does?

Is adjusting p-values in a multiple regression for multiple comparisons a good idea?

How to actually plot a sample tree from randomForest::getTree()?

Why is there a difference between manually calculating a logistic regression 95% confidence interval, and using the confint() function in R?

Kendall Tau or Spearman's rho?

Under what conditions should Likert scales be used as ordinal or interval data?

How to measure/rank "variable importance" when using CART? (specifically using {rpart} from R)

Choosing a clustering method

Best practice when analysing pre-post treatment-control designs

Under what conditions does correlation imply causation?

Feature selection for "final" model when performing cross-validation in machine learning

Is interaction possible between two continuous variables?

Does it ever make sense to treat categorical data as continuous?

Correcting p values for multiple tests where tests are correlated (genetics)

How to plot decision boundary of a k-nearest neighbor classifier from Elements of Statistical Learning?

Inter-rater reliability for ordinal or interval data

Computing percentile rank in R

Explanation of finite population correction factor?