testGroupIndependence: Multiple independence tests between reference groups and list...

In psichomics: Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation

Description

Test multiple contingency tables comprised by two groups (one reference group and another containing remaining elements) and provided groups.

Usage

testGroupIndependence(ref, groups, elements, pvalueAdjust = "BH")

Arguments

ref	List of character: list of groups where each element contains the identifiers of respective elements
groups	List of characters: list of groups where each element contains the identifiers of respective elements
elements	Character: all available elements (if a data frame is given, its rownames will be used)
pvalueAdjust	Character: method used to adjust p-values (see Details)

Details

The following methods for p-value adjustment are supported by using the respective string in the pvalueAdjust argument:

• none: Do not adjust p-values

• BH: Benjamini-Hochberg's method (false discovery rate)

• BY: Benjamini-Yekutieli's method (false discovery rate)

• bonferroni: Bonferroni correction (family-wise error rate)

• holm: Holm's method (family-wise error rate)

• hochberg: Hochberg's method (family-wise error rate)

• hommel: Hommel's method (family-wise error rate)

Value

multiGroupIndependenceTest object, a data frame containing:

attribute	Name of the original groups compared against the reference groups
table	Contingency table used for testing
pvalue	Fisher's exact test's p-value

See Also

parseCategoricalGroups() and plotGroupIndependence()

Other functions for data grouping: createGroupByAttribute(), getGeneList(), getSampleFromSubject(), getSubjectFromSample(), groupPerElem(), plotGroupIndependence()

Examples

elements <- paste("subjects", 1:10)
ref      <- elements[5:10]
groups   <- list(race=list(asian=elements[1:3],
                           white=elements[4:7],
                           black=elements[8:10]),
                 region=list(european=elements[c(4, 5, 9)],
                             african=elements[c(6:8, 10)]))
groupTesting <- testGroupIndependence(ref, groups, elements)
# View(groupTesting)

psichomics documentation built on Nov. 8, 2020, 5:44 p.m.