Pairs with fewer than 2 non-missing values have the r values set to NA. Matrix of Correlations and Generalized Spearman Rank Correlation Description rcorr Computes a matrix of Pearson's r or Spearman's rho rank correlation coefficients for all possible pairs of columns of a matrix. S3 method for class 'formula': For plot, x is a result returned by spearman2. Spearman correlations are the Pearson linear correlations computed on the ranks of non-missing elements, using midranks for ties. Details Uses midranks in case of ties, as described by Hollander and Wolfe. P-values are approximated by using the t or F distributions.

For spearman and spearman. Spearman correlations are the Pearson linear correlations computed on the ranks of non-missing elements, using midranks for ties. Default constructed from what. The diagonals of n are the number of non-NAs for the single variable corresponding to that row and column. Pairs with fewer than 2 non-missing values have the r values set to NA. For spearman2, the first argument may be a vector of any type, including character or factor. For print, x is an object produced by rcorr or spearman2. Matrix of Correlations and Generalized Spearman Rank Correlation Description rcorr Computes a matrix of Pearson's r or Spearman's rho rank correlation coefficients for all possible pairs of columns of a matrix. For plot, x is a result returned by spearman2. The diagonals of n are the number of non-NAs for the single variable corresponding to that row and column. S3 method for class 'spearman2. Pairs with fewer than 2 non-missing values have the r values set to NA. Spearman correlations are the Pearson linear correlations computed on the ranks of non-missing elements, using midranks for ties. S3 method for class 'formula': If y is omitted for rcorr, x must be a matrix. P-values are approximated by using the t or F distributions. Ranks are computed using efficient algorithms see reference 2 , using midranks for ties. Ranks are computed using efficient algorithms see reference 2 , using midranks for ties. Matrix of Correlations and P-values Description rcorr Computes a matrix of Pearson's r or Spearman's rho rank correlation coefficients for all possible pairs of columns of a matrix. Value rcorr returns a list with elements r, the matrix of correlations, n the matrix of number of observations used in analyzing each pair of variables, and P, the asymptotic P-values. Value rcorr returns a list with elements r, the matrix of correlations, n the matrix of number of observations used in analyzing each pair of variables, and P, the asymptotic P-values. If y is omitted for rcorr, x must be a matrix. When x is categorical, a different kind of Spearman correlation used in the Kruskal-Wallis test is computed and spearman2 can do the Kruskal-Wallis test. Default title shows the name of the response variable. Each predictor in the right hand side of the formula is separately correlated with the response variable. P-values are approximated by using the t distribution. The F test uses the unadjusted R2.

### Video about rcorr:

## RCORR Figure 8 vid2

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