User Info5ek

30 votes

3 answers

53k views

R: Random Forest throwing NaN/Inf in "foreign function call" error despite no NaN's in dataset [closed]

r random-forest caret

asked Nov 7, 2015 at 5:23

15 votes

4 answers

2k views

Pitfalls to avoid when transforming data?

regression data-transformation r-squared

asked Mar 15, 2014 at 23:24

7 votes

1 answer

2k views

Is it ever okay to ignore heteroskedastic residuals and continue with analysis?

regression residuals heteroscedasticity assumptions

asked Mar 17, 2014 at 2:12

7 votes

1 answer

5k views

How do I create and interpret an interaction plot in ggplot2?

data-visualization interaction ggplot2

asked Nov 21, 2012 at 1:32

6 votes

1 answer

10k views

Model construction: when to shuffle data and when to sort it?

cross-validation modeling dataset

asked Nov 9, 2015 at 3:38

4 votes

2 answers

1k views

Does a zig-zagging residual plot mean that normality has been violated?

residuals normality-assumption

asked Dec 10, 2012 at 2:14

3 votes

1 answer

156 views

How does the squared residual of a high leverage sample observation differ from the population's variance?

regression self-study leverage

asked Feb 9, 2014 at 20:41

2 votes

1 answer

13k views

Calculating Variance of Y in linear regression model given variance of X and e where e = error term

self-study variance

asked Feb 10, 2014 at 1:21

2 votes

1 answer

116 views

What about throwing out 2/3rds of a data set?

dataset model-selection

asked Dec 9, 2012 at 19:50

2 votes

1 answer

17k views

R: Missing levels of categorical variable in summary of linear model [duplicate]

r regression categorical-data

asked Feb 25, 2014 at 2:19

2 votes

1 answer

48 views

What is an indicator in statistics and why is it used to refine models?

self-study model-selection outliers

asked May 2, 2014 at 2:10

1 vote

1 answer

23 views

R: Time series: Difference of arrays returns 0 instead of true difference

r time-series

asked May 29, 2014 at 2:53

1 vote

1 answer

48 views

R not testing certain variables in forward stepwise regression?

r stepwise-regression

asked Mar 22, 2014 at 2:52

1 vote

1 answer

262 views

Visually random model residuals, yet heteroskedastic? ( very small Breusch-Pagan Test P-Value)

r regression residuals heteroscedasticity scatterplot

asked Mar 16, 2014 at 20:09

1 vote

1 answer

1k views

How to reference R's automatically generated dummy variables in a linear model

r multiple-regression categorical-data interaction

asked Feb 24, 2014 at 20:51

1 vote

1 answer

66 views

When is the probability of a variable equivalent to a function of the variable i.e. when does p(x)=f(x)?

self-study bayesian conditional-probability

asked Apr 18, 2016 at 15:40

0 votes

1 answer

22 views

Matplotlib: Why would a KNN regression model draw a line through ALL points regardless of K?

numpy matplotlib

asked Jan 20, 2019 at 1:55

0 votes

1 answer

75 views

Probability of observing value EQUAL to +2 SD in a standard normal dist with parameters N(0,1) [duplicate]

distributions self-study continuous-data

asked Feb 2, 2014 at 21:01

0 votes

1 answer

870 views

How to determine a null and alternative hypotheses and interpret F-test results, a specific example

hypothesis-testing self-study f-test

asked Feb 9, 2014 at 6:42

0 votes

1 answer

80 views

Testing Independent variables impact during different decades

regression anova interaction

asked Dec 4, 2012 at 2:32

0 votes

0 answers

612 views

R: Is it possible to retrieve a KNN model's predicted Y at a given point?

r machine-learning self-study prediction k-nearest-neighbour

asked Nov 4, 2015 at 17:34

0 votes

1 answer

258 views

What does it mean to build a so-called mean equation?

time-series self-study stationarity

asked May 2, 2014 at 3:42

0 votes

1 answer

774 views

Using ACF or PACF to build an AR(p) model?

autocorrelation

asked May 16, 2014 at 23:39

-1 votes

1 answer

762 views

KNN regression: Why does my In sample RMSE look like my out of sample RMSE across K values?

regression machine-learning python k-nearest-neighbour

asked Jan 21, 2019 at 20:23

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24 Questions

R: Random Forest throwing NaN/Inf in "foreign function call" error despite no NaN's in dataset [closed]

Pitfalls to avoid when transforming data?

Is it ever okay to ignore heteroskedastic residuals and continue with analysis?

How do I create and interpret an interaction plot in ggplot2?

Model construction: when to shuffle data and when to sort it?

Does a zig-zagging residual plot mean that normality has been violated?

How does the squared residual of a high leverage sample observation differ from the population's variance?

Calculating Variance of Y in linear regression model given variance of X and e where e = error term

What about throwing out 2/3rds of a data set?

R: Missing levels of categorical variable in summary of linear model [duplicate]

What is an indicator in statistics and why is it used to refine models?

R: Time series: Difference of arrays returns 0 instead of true difference

R not testing certain variables in forward stepwise regression?

Visually random model residuals, yet heteroskedastic? ( very small Breusch-Pagan Test P-Value)

How to reference R's automatically generated dummy variables in a linear model

When is the probability of a variable equivalent to a function of the variable i.e. when does p(x)=f(x)?

Matplotlib: Why would a KNN regression model draw a line through ALL points regardless of K?

Probability of observing value EQUAL to +2 SD in a standard normal dist with parameters N(0,1) [duplicate]

How to determine a null and alternative hypotheses and interpret F-test results, a specific example

Testing Independent variables impact during different decades

R: Is it possible to retrieve a KNN model's predicted Y at a given point?

What does it mean to build a so-called mean equation?

Using ACF or PACF to build an AR(p) model?

KNN regression: Why does my In sample RMSE look like my out of sample RMSE across K values?