3 datasets found

  1. An example of combining ANOVA terms for bivariate principle component data...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    John R. Skalski; Shelby M. Richins; Richard L. Townsend (2023). An example of combining ANOVA terms for bivariate principle component data to create the ANODIS F-statistic where N is the total number of samples drawn and K, the number of assemblages compared. [Dataset]. http://doi.org/10.1371/journal.pone.0206033.t001
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    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0206033.t001
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John R. Skalski; Shelby M. Richins; Richard L. Townsend
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    An example of combining ANOVA terms for bivariate principle component data to create the ANODIS F-statistic where N is the total number of samples drawn and K, the number of assemblages compared.

  2. Bivariate and partial correlations (age removed) among parent report and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 30, 2023
    + more versions
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    Kerry Danahy Ebert (2023). Bivariate and partial correlations (age removed) among parent report and direct child language measures. [Dataset]. http://doi.org/10.1371/journal.pone.0180598.t003
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0180598.t003
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kerry Danahy Ebert
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Bivariate and partial correlations (age removed) among parent report and direct child language measures.

  3. Bivariate analysis for factors associated with utilization of HIV testing...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
    + more versions
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    Prakash Shakya; Takashi Sawada; Hong Zhang; Tsutomu Kitajima (2023). Bivariate analysis for factors associated with utilization of HIV testing among the language school students in Tokyo. [Dataset]. http://doi.org/10.1371/journal.pone.0235659.t006
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0235659.t006
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Prakash Shakya; Takashi Sawada; Hong Zhang; Tsutomu Kitajima
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tokyo
    Description

    Bivariate analysis for factors associated with utilization of HIV testing among the language school students in Tokyo.

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Share
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Click to copy link
Link copied
Close
Cite
John R. Skalski; Shelby M. Richins; Richard L. Townsend (2023). An example of combining ANOVA terms for bivariate principle component data to create the ANODIS F-statistic where N is the total number of samples drawn and K, the number of assemblages compared. [Dataset]. http://doi.org/10.1371/journal.pone.0206033.t001
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An example of combining ANOVA terms for bivariate principle component data to create the ANODIS F-statistic where N is the total number of samples drawn and K, the number of assemblages compared.

Related Article
Explore at:
xlsAvailable download formats
Unique identifier
https://doi.org/10.1371/journal.pone.0206033.t001
Dataset updated
May 31, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
John R. Skalski; Shelby M. Richins; Richard L. Townsend
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

An example of combining ANOVA terms for bivariate principle component data to create the ANODIS F-statistic where N is the total number of samples drawn and K, the number of assemblages compared.

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