Using the R statistical programming language to estimate the mediation variables Influencing the presence of the proportion of elements in the soil

dc.contributor.authorZainalabideen AL-Husseini
dc.date.accessioned2026-01-01T12:35:55Z
dc.date.issued2022-04-13
dc.description.abstractThe research aims to study the effect of population momentum and temperatures on the proportion of elements in the soil, as multiple mediation models were applied with regression models to study and indicate the effect of the variables under study. Those samples were laboratory to know the proportions of the effect. A group of elements were studied, including (Na, Mg, K, CI, Ca), and after collecting and tabulating the data, the data was analyzed using the statistical program (R Program) .
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dc.identifier.urihttps://zienjournals.com/index.php/zjssh/article/view/1241
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/63978
dc.language.isoeng
dc.publisherZien Journals
dc.relationhttps://zienjournals.com/index.php/zjssh/article/view/1241/1018
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceZien Journal of Social Sciences and Humanities; Vol. 7 (2022): ZJSSH; 41-50
dc.source2769-996X
dc.subjectMultiple mediator model
dc.subjectEffects Mediation
dc.subjectdirect effect
dc.subjectcausal inference
dc.titleUsing the R statistical programming language to estimate the mediation variables Influencing the presence of the proportion of elements in the soil
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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