correlation matrix

  1. J

    How to intrepret this Correlation Matrix result from R ?

    This is the correlation matrix of Variable 1 against 16 other variables. I have applied the Distance correlation matrix from the R package "Correlation" which I read is suitable for non-linear data. But I am having time interpreting this result as I could not find enough resources on the...
  2. N

    Linear regression analysis

    Hi all, I am having problems with analysis. I want to perform a multiple linear regression. 1). The dependent variable and all but one of the independent variables is normally distributed. I was made aware that the independent variables don't have to be normally distributed to use it for a...
  3. S

    Can i use the results from a PCA if the matrix is 'not positive definite'

    Hi, I have a 'not positive definite' correlation matrix having done a principal component analysis (PCA) on SPSS. The data i have used is from a questionnaire i did using a 7 point likert type scale. There were 36 questions (36 variables) i got 16 responses (n=16). The questionnaire was very...
  4. J

    Input data (data view)

    Hi I have a question about SPSS. This might sound really stupid though. I have to run a regression, but prior to that, I have to check for correlation in SPSS. The correlation is between my independent variables AND my independent variables on my dependent variables. I know where to find...
  5. T

    Euclidean distance comparison weighted by correlation

    Hello, I want to calculate the Euclidean distance between two objects across a set of n variables. For those n variables I have generated a correlation matrix. From that correlation matrix I would like to produce a weight vector that I can apply before calculating the distance, so that the...
  6. C

    How can I get R to generate p-value when doing a correlation matrix?

    How can I get R to generate p-value for each correlation when doing a correlation matrix? Here are my current steps: > M <- cor(data1) # get correlations into Matrix > library('corrplot') # import corrplot library > corrplot(M, method = "circle")...
  7. S

    Using a Correlation Matrix with no data in SPSS

    I have a correlation matrix with the correlations between each set of five independent variables and the correlation between each IV and the DV. I would like to use this information to determine how R Squared changes for the model when I use the pair of IVs with the greatest correlation to the...
  8. M

    Interpreting Binary Logistic Regression

    Hi, This is my first time on this forum so I don't really know how this works. For this reason I will try to explain my problem as extensive as possible. I am researching the innovativeness of different firm sizes. Beforehand I expected that their would be a positve relation between firm...
  9. purifyz

    covariance matrix vs correlation matrix

    Dear all, I am now studying PCA/FA and stumbled upon following problem: if variables are measured on different scales it's reasonably obvious that we should use correlation matrix. But, when one should use covariance matrix if variables have the same scale? Jolliffe wrote that there might be...
  10. B

    correlating many time series to find functional pairs

    Hi there, I'm a neuroscientist in deep water, trying to do things that aren't standard in my field. I have a strong feeling there are established methods for this, so please give some input if you can! Data (very simplified but illustrates the issue): - From 20 humans, I have...
  11. J

    Dummies in a correlation matrix

    Hi everyone, I am working on a multiple moderate regression. And just wanted to add the correlation matrix as well. Now I got the responds that I cannot state the mean and standard deviation of dummy variables. How does it work? Do I just leave the mean out and the standard deviation...
  12. J

    Evaluating clusters of variables produced by varclus & hclustvar

    Background - I want to cluster analyze a mixed dataset, clustering the variables on the basis of correlational similarity. SPSS gives me this option, but doesn't allow me to evaluate the clustering solutions by providing statistical measures of heterogeneity change (e.g. pseudo F statistic) or...
  13. N

    testing different models using the same group of longitudinal data

    Description of my research Longitudinal growth data are fitted using parametric models giving growthcurves. Differentiating these growthcurves gives velocity curves. From every curve biological parameters can be determinated. Every parameteric model has function parameters. The same...
  14. F

    Correlation matrix pinted into table. How?

    I need to create a "decent" correlation matrix; the output of the R is really ugly and not easy to follow What are my choices? How can I export the output into a simple table? Also, I found on the net this beautiful correlation matrix at...