Quantitative analysis work in RStudio & Anova test

Maryam Forghaniallahabadi

Quantitative analysis work in RStudio & Anova test

Maryam Forghaniallahabadi

Architecture and Urban Planning

Research output: Other contribution

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Abstract

Quantitative analysis work in R, demonstrating multiple linear regression, interaction modelling, and ANOVA-based validation using real datasets. It highlights processing data, refining statistical models, interpreting results, and assessing model performance through diagnostic testing. The approach reflects the types of quantitative, coding, and validation tasks.

Original language	English
Type	Masters Project
Media of output	PDF
Publisher	University of Dundee
Number of pages	14
Publication status	Published - 2023

Keywords

quantitative research
Rstudio
Anova test
Correlation
Statistical modeling

ASJC Scopus subject areas

Modelling and Simulation

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title = "Quantitative analysis work in RStudio \& Anova test",

abstract = "Quantitative analysis work in R, demonstrating multiple linear regression, interaction modelling, and ANOVA-based validation using real datasets. It highlights processing data, refining statistical models, interpreting results, and assessing model performance through diagnostic testing. The approach reflects the types of quantitative, coding, and validation tasks.",

keywords = "quantitative research, Rstudio, Anova test, Correlation, Statistical modeling",

author = "Maryam Forghaniallahabadi",

year = "2023",

language = "English",

publisher = "University of Dundee",

type = "Other",

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AU - Forghaniallahabadi, Maryam

PY - 2023

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KW - quantitative research

KW - Rstudio

KW - Anova test

KW - Correlation

KW - Statistical modeling

M3 - Other contribution

PB - University of Dundee

ER -

Quantitative analysis work in RStudio & Anova test

Abstract

Keywords

ASJC Scopus subject areas

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