agricolae (version 1.0-4)

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

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 and Kendall. 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")
,alternative="two.sided")

Arguments

x

table, matrix or vector

y

table, matrix or vector

method

"pearson", "kendall", "spearman"

alternative

"two.sided", "less", "greater"

Value

• table
  Numeric

Details

Parameters equal to function cor()

See Also

correl

Examples

library(agricolae)
# example 1
data(soil)
analysis<-correlation(soil[,2:8],method="pearson")
analysis

# Example 2: correlation between pH, variable 2 and other elements from soil.
data(soil)
attach(soil)
analysis<-correlation(pH,soil[,3:8],method="pearson",alternative="less")
analysis
detach(soil)

# Example 3: correlation between pH and clay method kendall.
data(soil)
attach(soil)
correlation(pH,clay,method="kendall", alternative="two.sided")
detach(soil)