hydroTSM (version 0.5-1)

hydropairs: Visual Correlation Matrix

Description

Visualization of a correlation matrix. On top the (absolute) value of the correlation plus the result of the cor.test as stars. On bottom, the bivariate scatterplots, with a fitted line. On the diagonal, an histogram of each variable.

Usage

hydropairs(x, dec = 3, use = "pairwise.complete.obs", method = "pearson",...)

Arguments

x

data.frame or matrix object with measurements at several locations. Each column of x represent values measured at different locations.

dec

decimal places to be used for showing the correlation values

use

See cor. An optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs".

method

See cor. A character string indicating which correlation coefficient (or covariance) is to be computed. One of "pearson" (default), "kendall", or "spearman", can be abbreviated

…

further arguments passed to or from other methods, in particular it is used in the pairs function.

Value

On top

the (absolute) value of the correlation plus the result of the cor.test as points

On bottom

the bivariate scatterplots, with a fitted line

On diagonal

histograms (from pairs)

See Also

cor, pairs

Examples

# NOT RUN {
## Loading the monthly time series of precipitation within the Ebro River basin.
data(EbroPPtsMonthly)

## Visualizing the correlation among the monthly precipitation values 
## of the first 3 gauging stations in 'EbroPPtsMonthly'. 
## The first column of 'EbroPPtsMonthly' has the dates.
hydropairs(EbroPPtsMonthly[,2:4])
# }