Questions tagged [standardized]

Shifting and rescaling data to assure zero mean and unit variance.

Overview

Specifically, when xi, i =1,..., n is a batch of data, its mean is:

m=∑xi/n

and its variance is:

s2 = ∑(xi−m)2)/ν

where,

v is either n or n-1 (choices vary with application).

Standardization replaces each xi with zi = (xi-m)/s. Do not confuse standardization with normalization.


Tag usage

Questions on tag should be about implementation and programming problems, not about the statistical or theoretical properties of the technique. Consider whether your question might be better suited to Cross Validated, the StackExchange site for statistics, machine learning and data analysis.

145 questions
0
votes
0 answers

Multiple Regression - Converting Standardized Coefficients to Unstandardized

I recently performed a multiple regression in MATLAB using a standardized set of data, and I was wondering if it possible to convert the standardized coefficients from the regression into usable unstandardized coefficients. I feel like this might be…
dwm8
  • 309
  • 3
  • 16
0
votes
0 answers

Unstandardised slopes in MuMIN package

I used the MuMIN package to do a model averaging based on information criterion, following this question. options(na.action = "na.fail") Create a global model with all variables and two way interaction: global.model<-lmer(yld.res ~ rain + brk + …
user53020
  • 889
  • 2
  • 10
  • 33
0
votes
1 answer

Stata: use of cluster or svy with standardized coefficients

I got the recommendation to standardize my regression coefficients. I have never done it before, but I have seen it in papers, it seems quite common. At first sight it appeared quite simple, just adding the beta option to the regress command in…
0
votes
1 answer

Standardising Training Set in Backpropogation

If I was to standardise the training data before I train the neural network, after the training do I then de-standardise the training data and feed it back in to the neural network to show the final modelled results and expected results. Or do I…
obsessiveCookie
  • 1,130
  • 2
  • 18
  • 33
0
votes
1 answer

In data set, I want to change each element to p value

c<- c(1.88, 2.33, -2.4, -0.6) dim(c)<-c(2,2) I have a data set, 9X12 matrix. The data set is standardized to be normal, so I can compare each element. For better comparing, I want to change each value to p-value. How can I make it? (Please use…
user3027252
0
votes
0 answers

I am trying to fill NAs by cluster

I have data "colleges". It has many NAs. library(mlbench) library(stats) College <- read.csv("colleges.XL.csv", header=T) na.college<- na.omit(College) row.names(na.college) <- NULL na.college[, c(4:23)] <-…
user3027252
-1
votes
1 answer

How to standardize data with a certain mean and standard deviation value

How do I standardize a dataset with a certain mean and standard deviation value? I know there exists packages like sklearn.preprocessing.StandardScaler but this package only allows us to standardize the dataset using the dataset's own mean and…
Leockl
  • 1,906
  • 5
  • 18
  • 51
-1
votes
1 answer

Correlation Measures for Multiple Variables in R

I am trying to create a function in R to find a correlation coefficient for n-dimensional non-zero-variance variables using the equation seen at the bottom of this image: Click Here So far, I have only made the example data-set I am working with: a…
Al G
  • 43
  • 2
  • 7
-1
votes
1 answer

Using R - how to find correlation of the ordered pairs after standardization?

Suppose, I have the following ordered data sets: X <- c(12, 15, 23, 4, 9, 36, 10, 16, 67, 45, 58, 32, 40, 58, 33) # and Y <- c(1.5, 3.3, 10, 2.1, 8.3, 6.3, 4, 5.1, 1.4, 1.6, 1.8, 3.1, 2.2, 4, 3) What does it mean by "the correlation of their…
-2
votes
1 answer

Standardize Pearson correlation coefficient 0-1

In my data I have a vector which is a measure of correlation between my observations that goes from -1 to 1. Because of substantive theoretical reasons I want to bound my measure of correlation from 0 to 1. Hence, a correlation of -1 should become 0…
Alex
  • 1,207
  • 9
  • 25
1 2 3
9
10