getTheDeviation: Calculate the Deviations

In zhaodexuan/NERF: Non-Effortful Responses Filter

Calculate the Deviations

Description

Calculate deviations between observations and expectations.

Usage

getTheDeviation(
  theData,
  theExpectPoint,
  theCategory,
  theDim,
  RandomReplaceRatio = 0.5,
  maxBoot = 200,
  theCompare = "upper",
  theAlt = "less",
  theSig = 0.05,
  tempPrint = "",
  ifItem = FALSE,
  theCompareItem = "upper",
  theAltItem = "less",
  theSigItem = 0.05
)

Arguments

theData	The prepared data matrix.
theExpectPoint	The expectation list.
theCategory	The Calculated Category.
theDim	The Calculated Dimensions.
RandomReplaceRatio	Decimal between 0 and 1.
maxBoot	The maximum steps of bootstrap.
theCompare	= 'between', 'lower', 'upper', 'mean'
theAlt	= 'two.sided', 'greater', 'less'
theSig	= 0.05
tempPrint	= ”
ifItem	= FALSE, calculate the items when TRUE.
theCompareItem	= 'between', 'lower', 'upper', 'mean'
theAltItem	= 'two.sided', 'greater', 'less'
theSigItem	= 0.05

Value

The function returns a list.

Author(s)

zdx, [e-mail]

Examples

## Not run: 
theDeviation <- getTheDeviation(theData, theExpectPoint, theCategory, theDim)

## End(Not run)

zhaodexuan/NERF documentation built on Aug. 1, 2023, 1:18 a.m.