Process Data Analysis

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Documentation for package ‘ProcData’ version 0.3.2

• DESCRIPTION file.
• Package NEWS.

Help Pages

ProcData-package	ProcData: A package for process data analysis
action_seqs_summary	Summarize action sequences
aseq2feature_seq2seq	Feature Extraction by action sequence autoencoder
atseq2feature_seq2seq	Feature Extraction by action and time sequence autoencoder
calculate_dist_cpp	Calculate "oss_action" dissimilarity matrix through Rcpp
cc_data	Data of item CP025Q01 (climate control item 1) in PISA 2012
chooseK_mds	Choose the number of multidimensional scaling features
chooseK_seq2seq	Choose the number of autoencoder features
combine_actions	Combine consecutive actions into a single action
count_actions	Count action appearances
predict.seqm	Predict method for sequence models
print.proc	Print method for class '"proc"'
print.summary.proc	Print method for class '"summary.proc"'
proc	Class '"proc"' constructor
ProcData	ProcData: A package for process data analysis
read.seqs	Reading response processes from csv files
remove_action	Remove actions from response processes
remove_repeat	Remove repeated actions
replace_action	Replace actions in response processes
seq2feature_mds	Feature extraction via multidimensional scaling
seq2feature_mds_large	Feature Extraction by MDS for Large Dataset
seq2feature_mds_stochastic	Feature extraction by stochastic mds
seq2feature_ngram	ngram feature extraction
seq2feature_seq2seq	Feature Extraction by autoencoder
seqm	Fitting sequence models
seq_gen	Action sequence generator
seq_gen2	Markov action sequence generator
seq_gen3	RNN action sequence generator
sub_seqs	Subset response processes
summary.proc	Summary method for class '"proc"'
time_seqs_summary	Summarize timestamp sequences
tseq2feature_seq2seq	Feature Extraction by time sequence autoencoder
tseq2interval	Transform a timestamp sequence into a inter-arrival time sequence
write.seqs	Write process data to csv files