write.seqs

an object of class <code>"<a rd-options="" href="/link/proc?package=ProcData&version=0.2.5" data-mini-rdoc="ProcData::proc">proc</a>"</code> to written in the csv file.

seqs

the name of the csv file from which the response processes are to be read.

file

the style that the response processes are stored. See 'Details'.

style

a string giving the name of the variable storing the process identifier.

id_var

a string giving the name of the variable storing action sequences.

action_var

a string giving the name of the variable storing timestamp sequences.

time_var

the step separator characters. It is only used if <code>style="single"</code>.

step_sep

further arguments to be passed to <code>write.csv</code>

General tools for exploratory process data analysis. Process data refers to the data describing
participants' problem solving processes in computer-based assessments. It is often recorded in computer
log files. This package provides two action sequence generators and implements two automatic feature extraction methods that compress the information
stored in process data, which often has a nonstandard format, into standard numerical vectors. This package
also provides recurrent neural network based models that relate response processes with other binary or
scale variables of interest. The functions that involve training and evaluating neural networks are wrappers
of functions in 'keras'.

Xueying Tang

ProcData

Process Data Analysis

Susu Zhang

Zhi Wang

Jingchen Liu

Zhiliang Ying

write.seqs function

an object of class <code>"<a rd-options='' href='proc'>proc</a>"</code> to written in the csv file.

write.seqs: Write process data to csv files

Description

Usage

Arguments

Value