User Luna

31 votes

5 answers

41k views

How do I study the "correlation" between a continuous variable and a categorical variable?

asked May 30, 2012 at 15:22

25 votes

8 answers

91k views

How to find local peaks/valleys in a series of data?

asked Feb 16, 2012 at 15:17

22 votes

1 answer

60k views

How to test the statistical significance for categorical variable in linear regression?

asked Jul 5, 2012 at 15:15

19 votes

2 answers

9k views

Why is regression about variance?

asked Jul 6, 2012 at 23:15

14 votes

1 answer

26k views

What do the arrows in a PCA biplot mean?

asked Apr 25, 2012 at 4:26

13 votes

3 answers

7k views

How can you handle unstable $\beta$ estimates in linear regression with high multi-collinearity without throwing out variables?

asked Jul 17, 2012 at 15:29

10 votes

2 answers

28k views

How can I represent R squared in matrix form?

asked Jul 27, 2012 at 15:15

9 votes

3 answers

10k views

What are the differences between the linear regression and mixed models?

asked May 31, 2012 at 14:53

8 votes

1 answer

6k views

Understanding the linear mixed effects model equation and fitting a random effects model with weights in R

asked Jun 22, 2012 at 23:49

7 votes

2 answers

2k views

How would you fit ARIMA model with lots of autocorrelations?

asked Apr 28, 2012 at 21:11

6 votes

2 answers

6k views

Spline fitting in R - how to force passing two data points?

asked May 29, 2012 at 15:57

6 votes

1 answer

2k views

Are randomForest variable importance values comparable across same variables on different dates?

asked Jul 10, 2012 at 21:38

5 votes

3 answers

10k views

How to do a pretty scatter plot in R? [closed]

asked Mar 10, 2012 at 0:40

4 votes

1 answer

1k views

What can go wrong if I include two categorical variables and intercept in linear regression?

asked Jul 13, 2012 at 16:25

4 votes

1 answer

1k views

Do these residual plots indicate that my least squares regression coefficient estimates may be biased?

asked Jul 25, 2012 at 21:09

3 votes

1 answer

3k views

Pointers to understand "rlm" in R better?

asked Jul 17, 2012 at 14:31

3 votes

1 answer

2k views

How does "rlm" in R decide its "w" weights?

asked Jul 17, 2012 at 22:41

3 votes

0 answers

1k views

How to do goodness-of-fit and residual diagnosis for rlm in R?

asked Jul 5, 2012 at 17:14

3 votes

1 answer

116 views

When can we add a statistical touch to least square optimization problems?

asked Jul 10, 2012 at 20:20

3 votes

3 answers

5k views

Does the non-normality matter in using regression for prediction?

asked Jul 6, 2012 at 20:48

3 votes

2 answers

5k views

Is there a R command for testing the difference in coefficients of two linear regressions? [closed]

asked Jan 27, 2012 at 15:45

3 votes

1 answer

1k views

How to replace the top 1% of the data with a new value in R? [closed]

asked Feb 6, 2012 at 2:31

3 votes

1 answer

2k views

What's the best Kernel Regression package in R?

asked Feb 22, 2012 at 19:45

2 votes

0 answers

1k views

How to bootstrap prediction intervals for "customized" regression models in R

asked Apr 11, 2012 at 15:00

2 votes

0 answers

265 views

How to use ggplot to do the binned quantile plots(one type of scatter plot)? [duplicate]

asked Mar 14, 2012 at 17:04

2 votes

2 answers

799 views

Regression with categorical factor variable and the correlation among the variables

asked Jun 25, 2012 at 23:45

1 vote

2 answers

923 views

Impact of regression normality-assumption on model comparison & prediction?

asked Jul 5, 2012 at 19:55

1 vote

0 answers

105 views

Understanding the mixed effect model thru creating my own optimization-based model

asked Jun 25, 2012 at 16:19

1 vote

1 answer

350 views

How do I interpret the results of a regression which involves interaction terms?

asked Oct 28, 2012 at 20:29

1 vote

0 answers

136 views

significant lags in causality test?

asked Mar 19, 2012 at 15:58

Stack Exchange Network

35 Questions

How do I study the "correlation" between a continuous variable and a categorical variable?

How to find local peaks/valleys in a series of data?

How to test the statistical significance for categorical variable in linear regression?

Why is regression about variance?

What do the arrows in a PCA biplot mean?

How can you handle unstable $\beta$ estimates in linear regression with high multi-collinearity without throwing out variables?

How can I represent R squared in matrix form?

What are the differences between the linear regression and mixed models?

Understanding the linear mixed effects model equation and fitting a random effects model with weights in R

How would you fit ARIMA model with lots of autocorrelations?

Spline fitting in R - how to force passing two data points?

Are randomForest variable importance values comparable across same variables on different dates?

How to do a pretty scatter plot in R? [closed]

What can go wrong if I include two categorical variables and intercept in linear regression?

Do these residual plots indicate that my least squares regression coefficient estimates may be biased?

Pointers to understand "rlm" in R better?

How does "rlm" in R decide its "w" weights?

How to do goodness-of-fit and residual diagnosis for rlm in R?

When can we add a statistical touch to least square optimization problems?

Does the non-normality matter in using regression for prediction?

Is there a R command for testing the difference in coefficients of two linear regressions? [closed]

How to replace the top 1% of the data with a new value in R? [closed]

What's the best Kernel Regression package in R?

How to bootstrap prediction intervals for "customized" regression models in R

How to use ggplot to do the binned quantile plots(one type of scatter plot)? [duplicate]

Regression with categorical factor variable and the correlation among the variables

Impact of regression normality-assumption on model comparison & prediction?

Understanding the mixed effect model thru creating my own optimization-based model

How do I interpret the results of a regression which involves interaction terms?

significant lags in causality test?