[PRE REVIEW]: An R Companion for Introduction to Data Mining

[whedon]

Submitting author: @mhahsler (Michael Hahsler)
Repository: https://github.com/mhahsler/Introduction_to_Data_Mining_R_Examples
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: @stats-tgeorge
Reviewers: @hughshanahan, @rudeboybert
Managing EiC: Lorena Barba

Status

Status badge code:

HTML: <a href="https://jose.theoj.org/papers/1c21e289cb9c887b65cb58740f947f07"><img src="https://jose.theoj.org/papers/1c21e289cb9c887b65cb58740f947f07/status.svg"></a>
Markdown: [![status](https://jose.theoj.org/papers/1c21e289cb9c887b65cb58740f947f07/status.svg)](https://jose.theoj.org/papers/1c21e289cb9c887b65cb58740f947f07)

Author instructions

Thanks for submitting your paper to JOSE @mhahsler. Currently, there isn't an JOSE editor assigned to your paper.

@mhahsler if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSE and may be suitable for this submission (please start at the bottom of the list).

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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks.

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Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode".

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[whedon]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.21105/joss.01686 is OK
- 10.18637/jss.v091.i01 is OK
- 10.18637/jss.v025.i03 is OK
- 10.32614/RJ-2017-047 is OK
- 10.18637/jss.v028.i05 is OK

MISSING DOIs

- 10.1002/0471687545.ch1 may be a valid DOI for title: Introduction to Data Mining

INVALID DOIs

- None

[whedon]

Wordcount for paper.md is 532

[whedon]

Software report (experimental):

github.com/AlDanial/cloc v 1.88  T=1.20 s (56.9 files/s, 22896.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
HTML                            19            695             45          11519
JavaScript                      17            852           1220           6172
Rmd                              9           1116           2249           1284
CSS                             10             96             81            856
TeX                              3             81              0            665
SVG                              1              0              0            288
Markdown                         3             29              0             97
YAML                             3              1              0             19
R                                2              1              3              5
JSON                             1              0              0              1
-------------------------------------------------------------------------------
SUM:                            68           2871           3598          20906
-------------------------------------------------------------------------------


Statistical information for the repository '4279c59c22f532017b9213c9' was
gathered on 2023/06/06.
The following historical commit information, by author, was found:

Author                     Commits    Insertions      Deletions    % of changes
Michael Hahsler                  7         10163           1919          100.00

Below are the number of rows from each author that have survived and are still
intact in the current revision:

Author                     Rows      Stability          Age       % in comments
Michael Hahsler            8244           81.1          1.7               50.01

[whedon]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[mhahsler]

Here are two reviewer suggestions from the list:

• Kelly Bodwin
• Abhinav Maurya

[xuanxu]

@editorialbot generate pdf

[editorialbot]

⚠️ An error happened when generating the pdf.

[mhahsler]

@editorialbot generate pdf

[editorialbot]

⚠️ An error happened when generating the pdf.

[mhahsler]

@editorialbot generate pdf

[editorialbot]

⚠️ An error happened when generating the pdf.

[mhahsler]

@xuanxu the pdf generation script seems to die when adding an image (not finding the journal logo?)

Error running filter /usr/local/share/openjournals/data/filters/add-images.lua:
File  not found in resource path
stack traceback:
	/usr/local/share/openjournals/data/filters/add-images.lua:4: in upvalue 'insert'
	/usr/local/share/openjournals/data/filters/add-images.lua:9: in function 'Meta'

I am not sure how to fix this.

[xuanxu]

Yes, is something we are looking into, we've updated the PDF compilation step and this is probably some misconfiguration in our part.

[xuanxu]

@editorialbot generate pdf

let's try again

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[mhahsler]

@whedon commands

[editorialbot]

My name is now @editorialbot

[mhahsler]

@editorialbot commands

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[mhahsler]

@editorialbot list editors

[editorialbot]

List of JOSE editors

@IanHawke
@JasonJWilliamsNY
@ShanEllis
@acocac
@allisonhorst
@arm61
@ashleefv
@bryanwweber
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@stats-tgeorge
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@ttimbers
@willingc
@yabellini

[mhahsler]

@labarba Hi. There was a technical issue with creating the pdf. The issue was resolved. What are the next steps for the review process? Best regards, Michael

[stats-tgeorge]

@mhahsler I apologize for the delay. Since it has been many month, can you confirm you would still like this reviewed?

[mhahsler]

@stats-tgeorge Thank you for your reply. It has been a while, but we are still teaching the course and I am still interested having the companion reviewed.

[stats-tgeorge]

@editorialbot assign @stats-tgeorge as editor

[editorialbot]

Assigned! @stats-tgeorge is now the editor

[stats-tgeorge]

@mhahsler great! To start, looking at your JOSE paper there are some missing pieces. See mhahsler/Introduction_to_Data_Mining_R_Examples#5 (comment)

[stats-tgeorge]

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[stats-tgeorge]

@editorialbot list reviewers

[editorialbot]

Here's the current list of reviewers: https://bit.ly/jose-reviewers

[stats-tgeorge]

Hello @kbodwin, Michael Hahsler has submitted a data mining companion book to JOSE for other instructors to use. Would you be willing to review the submission? Your time and efforts will be greatly appreciated!

[stats-tgeorge]

Hello @ahmaurya, Michael Hahsler has submitted a data mining companion book to JOSE for other instructors to use. Would you be willing to review the submission? Your time and efforts will be greatly appreciated!

[stats-tgeorge]

Hello @hughshanahan, Michael Hahsler has submitted a data mining companion book to JOSE for other instructors to use. Would you be willing to review the submission? Your time and efforts will be greatly appreciated!

[stats-tgeorge]

Hello @rudeboybert, Michael Hahsler has submitted a data mining companion book to JOSE for other instructors to use. Would you be willing to review the submission? Your time and efforts will be greatly appreciated!

[stats-tgeorge]

Good morning @mhahsler , I am still working on this. I will be reaching out to potential reviewers outside of Github. Please stay tuned and thank you for being very patient!

[stats-tgeorge]

Good morning @mhahsler I have identified two reviewers! They asked for a long deadline but at least we are making progress. I will be making some updates here to create the review version.

[stats-tgeorge]

@editorialbot assign @hughshanahan as reviewer

[editorialbot]

I'm sorry human, I don't understand that. You can see what commands I support by typing:

@editorialbot commands

[stats-tgeorge]

@editorialbot assign @hughshanahan as reviewer

[editorialbot]

I'm sorry human, I don't understand that. You can see what commands I support by typing:

@editorialbot commands

[stats-tgeorge]

@editorialbot commands

[editorialbot]

Hello @stats-tgeorge, here are the things you can ask me to do:

# List all available commands
@editorialbot commands

# Add to this issue's reviewers list
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# Adds a checklist for the reviewer using this command
@editorialbot generate my checklist

# Set a value for version
@editorialbot set v1.0.0 as version

# Set a value for branch
@editorialbot set jose-paper as branch

# Set a value for repository
@editorialbot set https://github.com/organization/repo as repository

# Set a value for the archive DOI
@editorialbot set set 10.5281/zenodo.6861996 as archive

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@editorialbot create post-review checklist

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[stats-tgeorge]

@editorialbot add @hughshanahan as reviewer

[editorialbot]

@hughshanahan added to the reviewers list!

[stats-tgeorge]

@editorialbot add @rudeboybert as reviewer

[editorialbot]

@rudeboybert added to the reviewers list!

[stats-tgeorge]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #223.

[stats-tgeorge]

Hello @gvdr, you are on our list of potential reviewers for JOSE. Michael Hahsler has submitted a data mining companion book to JOSE for other instructors to use. Would you be willing to review the submission? Your time and efforts will be greatly appreciated!

[stats-tgeorge]

Hello @trallard, you are on our list of potential reviewers for JOSE. Michael Hahsler has submitted a data mining companion book to JOSE for other instructors to use. Would you be willing to review the submission? Your time and efforts will be greatly appreciated!