11 Matching Annotations
  1. Mar 2024
  2. statsandr.com statsandr.com
    ANOVA in R
    1
    1. pbk1 22 Mar 2024
      A nice and easy way to report results of an ANOVA in R is with the report() function from the {report} package:
      R statistics interpretation {report} package
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    statsandr.com/blog/anova-in-r/
  3. Jul 2023
  4. ngreifer.github.io ngreifer.github.io
    Using WeightIt to Estimate Balancing Weights
    1
    1. roccovasquez 16 Jul 2023
      Using WeightIt to Estimate Balancing Weights
      title causal inference r package
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    ngreifer.github.io/WeightIt/articles/WeightIt.html
  5. Dec 2020
  6. academic.oup.com academic.oup.com
    Directed evolution of Escherichia coli with lower-than-natural plasmid mutation rates
    1
    1. pbk1 27 Dec 2020
      flow cytometry data were analyzed in R using the flowCore Bioconductor package (
      flow cytometry R package data analysis
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    academic.oup.com/nar/article/46/17/9236/5077598
  7. Sep 2020
  8. github.com github.com
    wviechtb/forest_emojis
    1
    1. ErikStuchly 04 Sep 2020

      Viechtbauer, W. (2020). Wviechtb/forest_emojis [R]. https://github.com/wviechtb/forest_emojis (Original work published 2020)

      lang:en forest plot emoji visualization graphics R package function statistics is:webpage github
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    github.com/wviechtb/forest_emojis
  9. Jul 2020
  10. osf.io osf.io
    tenzing paper4.pdf
    1
    1. ErikStuchly 30 Jul 2020

      Holcombe, A. O., Kovacs, M., Aust, F., & Aczel, B. (2020). Tenzing: Documenting contributorship using CRediT [Preprint]. MetaArXiv. https://doi.org/10.31222/osf.io/b6ywe

      is:preprint lang:en contributorship CRediT career credit authorship publication formal documenting R package planning article
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    osf.io/preprints/metaarxiv/b6ywe
  11. Jun 2020
  12. rss.onlinelibrary.wiley.com rss.onlinelibrary.wiley.com
    New statistical metrics for multisite replication projects
    1
    1. ErikStuchly 29 Jun 2020

      Mathur, M. B., & VanderWeele, T. J. (2020). New statistical metrics for multisite replication projects. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 1145–1166. https://doi.org/10.1111/rssa.12572

      is:article lang:en statistical metrics multisite replication project consistency replication evidence strength metascience R package
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    rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12572
  13. rviews.rstudio.com rviews.rstudio.com
    An R View into Epidemiology
    1
    1. ErikStuchly 14 Jun 2020

      Views, R. (2020, May 20). An R View into Epidemiology. /2020/05/20/some-r-resources-for-epidemiology/

      is:blog is:webpage lang:en R epidemiology package modeling COVID-19 data analysis search statistics
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    rviews.rstudio.com/2020/05/20/some-r-resources-for-epidemiology/
  14. textnets.readthedocs.io textnets.readthedocs.io
    Textnets: automated text analysis with networks — textnets 0.3.6 documentation
    1
    1. ErikStuchly 04 Jun 2020

      Bail, C. A. (2016). Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media. Proceedings of the National Academy of Sciences, 113(42), 11823–11828. https://doi.org/10.1073/pnas.1607151113

      is:webpage lang:en social media text analysis keyword visualization USA government impeachment trial textnets R package
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    textnets.readthedocs.io/en/stable/
  15. journals.sagepub.com journals.sagepub.com
    StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms - Hannes Rosenbusch, Leon P. Hilbert, Anthony M. Evans, Marcel Zeelenberg,
    1
    1. ErikStuchly 03 Jun 2020

      Rosenbusch, H., Hilbert, L. P., Evans, A. M., & Zeelenberg, M. (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science, 2515245920917950. https://doi.org/10.1177/2515245920917950

      is:article lang:en scientific practice scientific method psychology statistics algorithm data analysis replication R package
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    journals.sagepub.com/doi/full/10.1177/2515245920917950
  16. May 2020
  17. www.preprints.org www.preprints.org
    COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
    1
    1. edampf 29 May 2020

      Samuel, J.; Ali, G.G.M.N.; Rahman, M.M.; Esawi, E.; Samuel, Y. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Preprints 2020, 2020050015 (doi: 10.20944/preprints202005.0015.v1)

      is:preprint lang:en COVID-19 public sentiment machine learning tweet Twitter sentiment analysis text analysis misinformation crisis R package fear USA Naive Bayes method logistic regression
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    preprints.org/manuscript/202005.0015/v1
  18. easystats.github.io easystats.github.io
    Understand and Describe Bayesian Models and Posterior Distributions
    1
    1. edampf 07 May 2020
      is:other lang:en R Bayesian code modeling package function download analysis
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    easystats.github.io/bayestestR/