This document contains the R package information for the analyses performed for the chronic conditions study.
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study
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collate
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date
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language
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system
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tz
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ui
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version
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meta
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en_US.UTF-8
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2020-03-17
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(EN)
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x86_64, darwin15.6.0
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America/Los_Angeles
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X11
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R version 3.6.2 (2019-12-12)
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BASEII
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German_Germany.1252
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2018-02-03
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(EN)
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x86_64, mingw32
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Europe/Berlin
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RStudio (1.0.153)
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R version 3.4.3 (2017-11-30)
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EAS
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English_United States.1252
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2018-01-15
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(EN)
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x86_64, mingw32
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America/Chicago
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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ELSA
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English_Canada.1252
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2018-01-31
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(EN)
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x86_64, mingw32
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America/Los_Angeles
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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HRS
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en_US.UTF-8
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2018-02-08
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(EN)
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x86_64, darwin15.6.0
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RStudio (1.1.383)
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R version 3.4.2 (2017-09-28)
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ILSE
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English_United States.1252
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2018-02-01
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(EN)
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x86_64, mingw32
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Europe/Berlin
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RStudio (1.1.419)
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R version 3.4.3 (2017-11-30)
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LBC
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English_United Kingdom.1252
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2018-10-19
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(EN)
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x86_64, mingw32
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Europe/London
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RStudio (1.1.456)
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R version 3.5.1 (2018-07-02)
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LBLS
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en_US.UTF-8
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2018-02-06
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(EN)
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x86_64, darwin13.4.0
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America/Los_Angeles
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RStudio (1.0.143)
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R version 3.3.2 (2016-10-31)
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MAP
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English_United States.1252
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2018-02-07
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(EN)
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x86_64, mingw32
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America/Chicago
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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MAS
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English_Australia.1252
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2018-03-04
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(EN)
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x86_64, mingw32
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Australia/Sydney
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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MIDUS
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en_US.UTF-8
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2018-04-27
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(EN)
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x86_64, darwin15.6.0
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America/Chicago
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RStudio (1.1.442)
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R version 3.4.4 (2018-03-15)
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NAS
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en_US.UTF-8
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2018-01-26
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(EN)
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x86_64, darwin15.6.0
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America/Chicago
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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OATS
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English_Australia.1252
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2018-02-01
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(EN)
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x86_64, mingw32
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America/New_York
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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ROS
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English_United States.1252
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2018-02-02
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(EN)
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x86_64, mingw32
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America/Chicago
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RStudio (1.1.383)
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R version 3.4.3 (2017-11-30)
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SLS
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German_Germany.1252
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2018-07-12
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(EN)
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x86_64, mingw32
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Europe/Berlin
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RStudio (1.0.153)
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R version 3.4.3 (2017-11-30)
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WLS
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English_Canada.1252
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2018-02-03
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(EN)
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x86_64, mingw32
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America/Los_Angeles
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RStudio (1.0.153)
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R version 3.4.3 (2017-11-30)
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## Joining, by = c("package", "*", "version", "study")
## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(study.names)` instead of `study.names` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
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package
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meta
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BASEII
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EAS
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ELSA
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HRS
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ILSE
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LBC
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LBLS
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MAP
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MAS
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MIDUS
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NAS
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OATS
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ROS
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SLS
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WLS
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apaTables
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1.5.1
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1.5.1
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1.5.1
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1.5.1
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1.5.1
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2.0.5
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1.5.1
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1.5.1
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1.5.1
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2.0.2
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1.5.1
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1.5.1
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1.5.1
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1.5.1
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1.5.1
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arm
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1.10-1
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base
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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bindrcpp
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0.2
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0.2
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0.2
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0.2
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0.2
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0.2.2
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0.2
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0.2
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0.2
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0.2.2
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0.2
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0.2
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0.2
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0.2
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0.2
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data.table
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1.10.4-3
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datasets
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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devtools
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2.2.1
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1.13.4
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1.13.4
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1.13.4
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1.13.4
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1.13.4
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1.13.6
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1.13.4
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1.13.4
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1.13.4
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1.13.5
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1.13.4
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1.13.4
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1.13.4
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1.13.4
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1.13.4
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dplyr
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0.8.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.6
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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0.7.4
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forcats
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0.4.0
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0.2.0
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0.2.0
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0.2.0
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0.2.0
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0.2.0
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0.3.0
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0.2.0
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0.2.0
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0.2.0
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0.3.0
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0.2.0
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0.2.0
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0.2.0
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0.2.0
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0.2.0
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foreign
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0.8-69
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0.8-69
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0.8-69
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0.8-71
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0.8-69
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0.8-69
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0.8-69
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0.8-70
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0.8-69
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0.8-69
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0.8-69
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0.8-69
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0.8-69
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ggplot2
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3.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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3.0.0
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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2.2.1
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GPArotation
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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2014.11-1
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graphics
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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grDevices
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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haven
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1.1.0
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here
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0.1
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kableExtra
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1.1.0
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knitr
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1.28
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lme4
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1.1-21
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MASS
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7.3-51.5
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Matrix
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1.2-18
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merTools
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0.5.0
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metafor
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2.1-0
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methods
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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papaja
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0.1.0.9842
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psych
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1.9.12
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1.7.8
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1.7.8
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1.7.8
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1.7.8
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1.7.8
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1.8.4
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1.7.8
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1.7.8
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1.7.8
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1.8.3.3
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1.7.8
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1.7.8
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1.7.8
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1.7.8
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1.7.8
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purrr
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0.3.3
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.5
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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0.2.4
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readr
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1.3.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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1.1.1
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readstata13
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0.9.0
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sas7bdat
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0.5
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sjPlot
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2.4.0
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2.4.0
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2.4.0
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2.4.0
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2.4.0
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2.6.0
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2.4.0
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2.4.0
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2.4.0
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2.4.1
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2.4.0
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2.4.0
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2.4.0
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2.4.0
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2.4.0
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stargazer
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5.2.1
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5.2.1
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stats
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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stringr
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1.4.0
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1.2.0
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1.2.0
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1.2.0
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1.2.0
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1.2.0
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1.3.1
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1.2.0
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1.2.0
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1.2.0
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1.3.0
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1.2.0
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1.2.0
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1.2.0
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1.2.0
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1.2.0
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survival
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2.41-3
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2.41-3
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tibble
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2.1.3
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1.4.1
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1.4.1
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1.4.1
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1.3.4
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1.4.2
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1.4.2
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1.4.1
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1.4.2
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1.4.1
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1.4.2
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1.3.4
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1.4.1
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1.4.2
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1.4.1
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1.4.1
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tidyr
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1.0.2
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0.7.2
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0.7.2
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0.7.2
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0.7.2
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0.8.0
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0.8.1
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0.7.2
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0.8.0
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0.7.2
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0.8.0
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0.7.2
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0.7.2
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0.8.0
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0.7.2
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0.7.2
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tidyverse
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1.3.0
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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1.2.1
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usethis
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1.5.1
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utils
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3.4.3
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3.4.3
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3.4.3
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3.4.2
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3.4.3
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3.5.1
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3.3.2
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3.4.3
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3.4.3
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3.4.4
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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3.4.3
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Code
library(devtools)
library(knitr)
library(kableExtra)
library(lme4)
library(merTools)
library(tidyverse)
library(metafor)
library(papaja)
library(here)
study.names = c("BASEII", "EAS", "ELSA", "HRS", "ILSE", "LBC",
"LBLS","MAP", "MAS", "MIDUS",
"NAS", "OATS", "ROS", "SLS", "WLS")
load(here("chronic/created data/BASEII_cc_output_nosrh.Rdata"))
load(here("chronic/created data/EAS_cc_output_nosrh.Rdata"))
load(here("chronic/created data/ELSA_cc_output.Rdata"))
load(here("chronic/created data/HRS_cc_output.Rdata"))
load(here("chronic/created data/ILSE_cc_output_nosrh.Rdata"))
load(here("chronic/created data/LBC_cc_output.Rdata"))
load(here("chronic/created data/LBLS_cc_output.Rdata"))
load(here("chronic/created data/MAP_cc_output.Rdata"))
load(here("chronic/created data/MAS_cc_output_nosrh.Rdata"))
load(here("chronic/created data/MIDUS_cc_output_nosrh.Rdata"))
load(here("chronic/created data/nas_cc_output.Rdata"))
load(here("chronic/created data/OATS_cc_output_nosrh.Rdata"))
load(here("chronic/created data/ROS_cc_output.Rdata"))
load(here("chronic/created data/SLS_cc_output.Rdata"))
load(here("chronic/created data/WLS_cc_output.Rdata"))
NAS_cc_output = nas_cc_output
EAS_cc_output= eas_cc_output
rm(nas_cc_output)
rm(eas_cc_output)
s <- session_info()
meta_cc_output = list(session_info = s)
meta_cc_output$session_info$platform$os = NULL
meta_cc_output$session_info$platform$ctype = NULL
platform_info = lapply(c("meta", study.names), function(x) get(paste0(x, "_cc_output")))
names(platform_info) = c("meta", study.names)
platform_info %>%
map("session_info") %>%
map("platform") %>%
map_df(~unlist(.)) %>%
mutate(var = names(meta_cc_output$session_info$platform)) %>%
gather("study", "value", -var) %>%
spread("var", "value") %>%
mutate(study = factor(study, levels = c("meta", study.names))) %>%
arrange(study) %>%
kable(., booktabs = TRUE) %>%
kable_styling()
package_info = lapply(c(study.names), function(x) get(paste0(x, "_cc_output")))
names(package_info) = c(study.names)
meta_packages = meta_cc_output$session_info$packages
meta_packages = meta_packages %>%
mutate(study = "meta") %>%
mutate(version = loadedversion,
`*` = attached) %>%
dplyr::select(study, package, version, `*`) %>%
mutate(`*` = ifelse(`*`, "*", ""))
package_info %>%
map("session_info") %>%
map("packages") %>%
map2_df(., c(study.names), ~ mutate(.x, study = .y)) %>%
full_join(meta_packages) %>%
filter(`*` == "*") %>%
dplyr::select(study, package, version) %>%
spread(study, version) %>%
dplyr::select(c(package, "meta", study.names)) %>%
kable(., booktabs = TRUE) %>%
kable_styling(font_size = 9)