R: Correlation analysis. Methods of Pearson, Spearman, Kendall...

correlation {agricolae} | R Documentation

## Correlation analysis. Methods of Pearson, Spearman, Kendall and Lin

### Description

It obtains the coefficients of correlation and p-value between all the variables of a data table. The methods to apply are Pearson, Spearman , Kendall and lin's concordance index. In case of not specifying the method, the Pearson method will be used. The results are similar to SAS.

### Usage

    correlation(x,y=NULL, method = c("pearson", "kendall", "spearman", "lin")
    ,alternative="two.sided")

### Arguments

`x` | table, matrix or vector
`y` | table, matrix or vector
`method` | "pearson", "kendall", "spearman", "lin"
`alternative` | "two.sided", "less", "greater"

### Details

Parameters equal to function cor()

### Value

`table` | Numeric

### Author(s)

Felipe de Mendiburu

### References

Lin LI. A concordance correlation coefficient to evaluate reproducibility. Biometrics. 1989; 45, 255-268.

### See Also

`correl`

### Examples

    library(agricolae)
    data(soil)
    # example 1
    analysis<-correlation(soil[,2:8],method="pearson")
    analysis
    # Example 2: correlation between pH, variable 2 and other elements from soil.
    analysis<-with(soil,correlation(pH,soil[,3:8],method="pearson",alternative="less"))
    analysis
    # Example 3: correlation between pH and clay method kendall.
    with(soil,correlation(pH,clay,method="kendall", alternative="two.sided"))

[Package agricolae version 1.2-6 Index]