monotonicityTest: A test for a monotonic trend

In StatCharrms: Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies

Description

Performs the test for monotonicity as per the the OECD guidance on statistics.

Usage

monotonicityTest(Data, Treatment, Response)

Arguments

Data	A data set.
Treatment	The name (as a string) of the treatment variable.
Response	The name (as a string) of the response variable.

Details

calls both getLineContrast and getQuadContrast to attain the contrasts used in the monotonicity test.

Value

A table of test statistics for both the linear and quadratic trends. If the quadratic trend is significant and the linear trend is not, then the response is not monotonic, otherwise it is consider to be monotonic.

Author(s)

Joe Swintek

References

Current Approaches in the Statistical Analysis of Ecotoxicity Data A guidance to application DOI: 10.1787/9789264085275-en

Examples

	#Data 
		data(lengthWeightData)
	#Subset the data
		SubData<-lengthWeightData[lengthWeightData$Age=='8 week', ] 
		SubData<-SubData[SubData$Generation=='F1', ]
		SubData<-SubData[SubData$SEX=='M', ]
	#Run 
		monotonicityTest(Data=SubData, Treatment='Treatment', 
			Response='WEIGHT')

StatCharrms documentation built on Nov. 14, 2020, 5:09 p.m.