Difference between revisions of "R learning group in THL"
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** Function gam in package mgcv [https://stat.ethz.ch/R-manual/R-devel/library/mgcv/html/gam.html] | ** Function gam in package mgcv [https://stat.ethz.ch/R-manual/R-devel/library/mgcv/html/gam.html] | ||
** Vaccination people use these things on routine basis, so we should ask them. | ** Vaccination people use these things on routine basis, so we should ask them. | ||
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+ | == Shared practices == | ||
+ | |||
+ | * We use instant communcation in [https://r-lukupiiri.slack.com/ Slack] | ||
+ | * We document our projects and R code on relevant Opasnet pages. | ||
+ | * We gather together more or less regurlarly. These are the topics for meetings: | ||
+ | ** 2.11.2016 10-11 (Kielo): get together and how to organise | ||
+ | ** 16.11.2016 8.30-10 (Kielo): basics of R (objects and how to use them; typical procedures). Speaker: Jouni | ||
== Current activities == | == Current activities == | ||
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* [[Help:Drawing graphs]] | * [[Help:Drawing graphs]] | ||
+ | * [[R-tools]] | ||
+ | * [[Helsinki energy decision 2015]] |
Latest revision as of 07:16, 3 November 2016
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R learning group in THL is a self-organised group of researchers who need and want to learn R software. Most people work at the Department of Health protections in THL in Kuopio, Finland.
Topics of interest
These are topics of interest for some or most participants (in no particular order).
- Next generation sequencing (NGS): how to manage the data, make analyses, and visualise results? Some ideas for solutions:
- Vegan package (developed in Oulu) for diversity studies
- Diversity index page in Opasnet for calculating alpha and beta diversity with different q values.
- Chime, SAS: What are the functionalities, and what are respective solutions in R?
- Exposure assessment and big data: how to manage exposure data (e.g. PM2.5 concentration fields) with millions of rows?
- There are packages for huge array calculations. Five ways to handle big data in r
- UEF Bioinformatics use R to handle big data, and they have developed packages for that. We should find out about this.
- Health impact assessment is needed for environmental exposures: how to combine different data sources and make assessments coherent?
- OpasnetUtils package has ovariable functionalities for this. The actual objects are defined on page Health impact assessment. There is a need for update, which will be done early 2017.
- General additive models GAM: how to perform these?
- We use instant communcation in Slack
- We document our projects and R code on relevant Opasnet pages.
- We gather together more or less regurlarly. These are the topics for meetings:
- 2.11.2016 10-11 (Kielo): get together and how to organise
- 16.11.2016 8.30-10 (Kielo): basics of R (objects and how to use them; typical procedures). Speaker: Jouni
Current activities
- Jouni
- Self-reported exposure to chemicals in sarcoma patients: KTL Sarcoma study#Self-reported chemical exposure
- Ilmastonmuutospäätöksentekoon liittyvien keskustelujen ja politiikkojen jäsennystä: op_fi:Keskipitkän aikavälin ilmastopoliittinen suunnitelma op_fi:Energiarenessanssi
- Arja
- Benefits and risks of Baltic herring Benefit-risk assessment of Baltic herring and salmon intake
- Add your own activities
- Create new pages in Opasnet as necessary