MLAP_Trans: MLAP_Trans

In PeFox/DySeq: Functions for Dyadic Sequence Analyses

Description

Transforms data, which has been transformed by the function ML_Trans from sequence data into multi-level transitions, into lagged partner and lagged actor effects. This transformation is often required before fitting a multi-level actor-partner-interaction model (APIM).

Usage

MLAP_Trans(x)

Arguments

x	the output of the ML_Trans function

Examples

# Example: Applying a APIM on the example data

# Transforms Sequences into Multi-Level data
ML_data<-ML_Trans(CouplesCope, 2:49, 50:97)

# Transforms transitions into lagged Actor and Partner effects
MLAP_data<-MLAP_Trans(ML_data)

# Data preparation

# In example data first seq referred to females
# and second to males

names(MLAP_data)[1]<-"sex"
MLAP_data$sex<-as.factor(MLAP_data$sex)
levels(MLAP_data$sex)<-c("female", "male")

# Effectcoding
MLAP_data$Partner[MLAP_data$Partner==0]<-(-1)
MLAP_data$Actor[MLAP_data$Actor==0]<-(-1)

# Fits a multi-level APIM using lme4
# Here a random intercept-only model
## Not run: 
## make sure lme4 is installed!
## and loaded!
#install.packages("lme4")
# library(lme4)

set.seed(1234)
glmer(DV~1+sex+Actor+Partner+Actor*Partner+
       sex*Actor+sex*Partner+sex*Actor*Partner+
       (1|ID),
     data=MLAP_data,
     family=binomial)

## End(Not run)

PeFox/DySeq documentation built on May 8, 2019, 1:28 a.m.