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

In agricolae: Statistical Procedures for Agricultural Research

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

The correlation matrix with its probability

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"))

agricolae documentation built on Oct. 23, 2023, 1:06 a.m.