The centering tag has no wiki summary.
26
votes
5answers
8k views
When should you center your data & when should you standardize?
In some literature, I have read that a regression with multiple explanatory variables, if in different units, needed to be standardized. (Standardizing consists in subtracting the mean and dividing ...
11
votes
1answer
600 views
How does centering the data get rid of the intercept?
I keep reading about instances where we center the data (e.g., with regularization or PCA) in order to remove the intercept (as mentioned in this question). I know it's simple, but I'm having a hard ...
11
votes
1answer
259 views
Is centering needed when bootstrapping the sample mean?
When reading about how to approximate the distribution of the sample mean I came across the nonparametric bootstrap method. Apparently one can approximate the distribution of $\bar{X}_n-\mu$ by the ...
4
votes
1answer
163 views
Shifting bootstrap confidence interval to be centered around original parameter
I've been doing a bit of research into bootstrapping as I've been told one method of performing it, and this seems to differ from what I can find in other sources.
I have a sample, and want to ...
2
votes
3answers
3k views
How to group-center / standardize variables in R?
Functions I'm familiar with include scale from base R, rescale from ARM.
Perhaps the best way would be to use some variant of apply, specifying one or more variables to use as grouping variables.
2
votes
0answers
33 views
Few main variables in the best model still show multicollineairty. Should I remove them despite their importance?
I have a binary logistic regression with 5 IVs and all of their 2-way interactions. I have reduced/removed multicollinearity between main variables and their interactions by centering the main ...
1
vote
1answer
38 views
After centering, interactions' effects got reversed. It was not fixed by reversing the dependent variable. What should I do?
In a binary logistic regression, I centered all the independent variables (binaries, continuous, dependent, independent, all [I have 5 IVs: three binary and two ordinal]). Multicollineariy was ...
0
votes
0answers
34 views
Centering to use a sparse covariate?
In my dataset, there's a binary response, some factors, and some covariates. In particular, there are some covariates that are always present when factor1=="A" and ...
0
votes
0answers
39 views
De-meaning data in mixed process model?
I want to run a fixed effects IV regression that is also a mixed process model. If I use the linear FE-IV estimator, I am assuming linearity, which I don't want to do. However, I do not have a ...
0
votes
0answers
179 views
How to horizontally center ggplot, disregarding legend and axis labels? [closed]
I use ggplot2 to generate Tikz images which are placed on multiple pages of a LaTeX document. For consistency I'd like to center all of these plots, but the legends and axes can be a bit different in ...
