What package is Rcorr in R?

What package is Rcorr in R?

Hmisc package
The function rcorr() [in Hmisc package] can be used to compute the significance levels for pearson and spearman correlations. It returns both the correlation coefficients and the p-value of the correlation for all possible pairs of columns in the data table.

How do I use the Rcorr function in R?

rcorr Computes a matrix of Pearson’s r or Spearman’s rho rank correlation coefficients for all possible pairs of columns of a matrix. Missing values are deleted in pairs rather than deleting all rows of x having any missing variables.

How do you check if a correlation is significant in R?

Summary

1. Use the function cor. test(x,y) to analyze the correlation coefficient between two variables and to get significance level of the correlation.
2. Three possible correlation methods using the function cor.test(x,y): pearson, kendall, spearman.

Is the correlation statistically significant at the 0.01 level?

Correlation is significant at the 0.01 level (2-tailed). As in the previous correlation tables, for each pair of variables there is once again an estimate of the correlation, an accompanying p value and a sample size on which the correlation has been calculated, all repeated in two places in the table.

How does the rcorr function in hmisc work?

rcorr Computes a matrix of Pearson’s r or Spearman’s rho rank correlation coefficients for all possible pairs of columns of a matrix. Missing values are deleted in pairs rather than deleting all rows of x having any missing variables.

What is the matrix of correlations and p-values in hmisc?

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. Pairs with fewer than 2 non-missing values have the r values set to NA.

How is the correlation coefficient of Rho calculated?

View source: R/rcorr.s. rcorr Computes a matrix of Pearson’s r or Spearman’s rho rank correlation coefficients for all possible pairs of columns of a matrix. Missing values are deleted in pairs rather than deleting all rows of x having any missing variables. Ranks are computed using efficient algorithms (see reference 2), using midranks for ties.

What is the argument for method compatiblity in rcorr?

… argument for method compatiblity. 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. Pairs with fewer than 2 non-missing values have the r values set to NA.