Basic_Markov_as_APIM: Basic_Markov_as_APIM

In DySeq: Functions for Dyadic Sequence Analyses

Description

Fits a basic Markov-model on dyadic sequences. The transition matrix is converted into equivalent APIM-beta-coefficients. Bootstrapping is used for approximating p-values. (H1: Effect is different from zero)

Usage

Basic_Markov_as_APIM(x, first, second, boot = 1000, SimOut = FALSE,
  CPU = 1, sim = "ordinary", parallel = "no")

Arguments

x	Dataframe or matix containing the sequences (not combined!)
first	a vector that indicates all columns of the first sequence
second	a vector that indicates all columns of the second sequence
boot	number of bootstrap samples
SimOut	For simulation purposes: If TRUE output and tansition matrix will be omitted.
CPU	passes argument to boot()
sim	passes argument to boot()
parallel	passes argument to boot()

Examples

## Not run: 
# Simulating example-data:
trans1<-APIMtoTrans(B0_1=0, AE_1=1, PE_1=0, Int_1=0,
                   B0_2=0, AE_2=0, PE_2=0, Int_2=0)

x<-simSeqSample(trans=trans1, initial=rep(.25,4), length=100, N=100)

# Running the function, 
# small boot-size sample only for demonstration purposes! 
Basic_Markov_as_APIM(x, 1:100, 101:200, boot=10)

## End(Not run)

DySeq documentation built on May 1, 2019, 10:14 p.m.