cor() is used to compute correlations and cov() covariances. The share the same arguments.
| cor(world[,2:10]) | Compute a correlation matrix (numerical data matrix or frame= |
| cor(urb,infmor) | Compute correlation between two varuables |
| >cor(urb,infmor, method="spearman") | Compute the spearmand coeefficient, default is "pearson"; "kendall" is the third available method |
| cor(world[,2:10], na.rm=TRUE) | Remove missing values |
See help(cor)> for various use options to control missing data handling.
[library(ppcor)]
| spcor(world[,2:4]) | Semipartial correlation of a matrix or frame |
| pcor(world[,2:4]) | Partial correlation of a matrix or frame |
| pcor(world[,c("infmor","urb","lit")]) | using column (variable) names |
| pcor(world[,2:4], method="kendall") | use "kendall" instead of default "pearson", other possibility: "spearman" |