AA_PartialCC: Association Analysis by Partial Correlation Coefficient
In HuaZou/MyRtools: Statistic Approaches on Data Analysis

Description Usage Arguments Details Value Author(s) Examples

The correlation between two variables (X, Y) while controling a third variable(Z). Here, we regard each Feature as X and each Metabolite as Y, the Age/Gender variable as Z.

1	AA_PartialCC(dataset=ExpressionSet, Group_info="Group", Group_name=NULL, AdjVar=c("Age", "Gender"), Method="pcor")

`Group_info,`	Character; design factor(default: "Group").
`Group_name,`	Character; the group for filtering(default: NULL).
`AdjVar,`	Character; (Required) the variables for correlation(default: AdjVar=c("Age", "Gender")).
`Method,`	Character; (Required) the method for correlation(default: Method="pcor").
`Expression,`	ExpressionSet; (Required) ExpressionSet object.

12/4/2021 Guangzhou China

a list of results Partial Correlation matrix(estimate, pvalue, statistics) Partial Correlation Coefficient table

Hua Zou

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data(ExprSetRawRB)

PartialCC_res <- AA_PartialCC(dataset=ExprSetRawRB, Group_info="Group", Group_name=NULL, AdjVar=c("Age", "Gender"), Method="pcor")