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ProcData
View on CRAN: Click
here
Download and install ProcData package within the R console
Install from CRAN:
install.packages("ProcData")
Install from Github:
library("remotes")
install_github("cran/ProcData")
Install by package version:
library("remotes")
install_version("ProcData", "0.3.2")
Attach the package and use:
library("ProcData")
Maintained by
Xueying Tang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-12
Latest Update: 2021-04-01
Description:
Provides 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 functions to read, process, and write process data. It also implements
two feature extraction methods to compress the information stored in process data 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'.
How to cite:
Xueying Tang (2020). ProcData: Process Data Analysis. R package version 0.3.2, https://cran.r-project.org/web/packages/ProcData. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.5 (2020-05-12 12:10)
Other packages that cited ProcData R package
View ProcData citation profile
Other R packages that ProcData depends,
imports, suggests or enhances
Complete documentation for ProcData
Functions, R codes and Examples using
the ProcData R package
Some associated functions: ProcData-package . action_seqs_summary . aseq2feature_seq2seq . atseq2feature_seq2seq . calculate_dist_cpp . cc_data . chooseK_mds . chooseK_seq2seq . combine_actions . count_actions . predict.seqm . print.proc . print.summary.proc . proc . read.seqs . remove_action . remove_repeat . replace_action . seq2feature_mds . seq2feature_mds_large . seq2feature_mds_stochastic . seq2feature_ngram . seq2feature_seq2seq . seq_gen . seq_gen2 . seq_gen3 . seqm . sub_seqs . summary.proc . time_seqs_summary . tseq2feature_seq2seq . tseq2interval . write.seqs .
Some associated R codes: ProcData.R . RcppExports.R . autoencoder_functions.R . data.R . dist_functions.R . feature_extraction.R . ngram.R . other.R . proc_object.R . read_seqs.R . seq_functions.R . seq_generator.R . seq_manipulation.R . sequence_model.R . Full ProcData package functions and examples
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