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Print the PCAshiny results i.e the R corresponding script
● Data Source:
CranContrib
● Keywords: print
● Alias: print.PCAshiny
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0 images
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MCAshiny
(Package: Factoshiny) :
Multiple Correspondence Analysis (MCA) with Factoshiny
Performs Multiple Correspondence Analysis (MCA) with supplementary individuals, supplementary quantitative variables and supplementary categorical variables on a Shiny application.
Allows to change MCA parameters and graphical parmeters.
Graphics can be downloaded in png, jpg and pdf.
● Data Source:
CranContrib
● Keywords:
● Alias: MCAshiny
●
0 images
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FAMDshiny
(Package: Factoshiny) :
Factor Analysis for Mixed Data with Factoshiny
Performs Factor Analysis for Mixed Data (FAMD) with supplementary individuals, supplementary quantitative variables and supplementary categorical variables on a Shiny application.
Allows to change FAMD parameters and graphical parmeters.
Graphics can be downloaded in png, jpg and pdf.
● Data Source:
CranContrib
● Keywords:
● Alias: FAMDshiny
●
0 images
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PCAshiny
(Package: Factoshiny) :
Principal Component Analysis (PCA) with FactoShiny
Performs Principal Component Analysis (PCA) with supplementary individuals, supplementary quantitative variables and supplementary categorical variables on a Shiny application.
Allows to change PCA parameters and graphical parmeters.
Graphics can be downloaded in png, jpg, pdf and emf.
● Data Source:
CranContrib
● Keywords:
● Alias: PCAshiny
●
0 images
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Print the MCAshiny results i.e the R corresponding script
● Data Source:
CranContrib
● Keywords: print
● Alias: print.MCAshiny
●
0 images
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HCPCshiny
(Package: Factoshiny) :
Hierarchical Clustering on Principal Components (HCPC) with Factoshiny
Performs Hierarchical Clustering on Principal Components (HCPC) o results from a factor analysis on a Shiny application.
Allows to change HCPC parameters and graphical parmeters.
Graphics can be downloaded in png, jpg and pdf.
● Data Source:
CranContrib
● Keywords:
● Alias: HCPCshiny
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0 images
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Factoshiny allows to perform CA, PCA, MFA, HCPC and MFA (classical functions from FactoMineR) within a Shiny app. The user can easily change the function parameters and the graphs parameters and can automatically see the restults of the change on the plot. All graphs can be downloaded in png, jpg and pdf.
● Data Source:
CranContrib
● Keywords: package
● Alias: Factoshiny, Factoshiny-package
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0 images
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Print the MFAshiny results i.e the R corresponding script
● Data Source:
CranContrib
● Keywords: print
● Alias: print.MFAshiny
●
0 images
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MFAshiny
(Package: Factoshiny) :
Multiple Factor Analysis (MFA) with Factoshiny
Performs Multiple Factor Analysis (MFA) with supplementary individuals and supplementary groups of variables on a Shiny application.
Groups of variables can be quantitative, categorical or contingency tables.
Allows to change MFA parameters and graphical parmeters. A maximum of 10 groups can be created
Graphics can be downloaded in png, jpg, pdf and emf.
● Data Source:
CranContrib
● Keywords:
● Alias: MFAshiny
●
0 images
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CAshiny
(Package: Factoshiny) :
Correspondance Analysis (CA) with Factoshiny
Performs Correspondance Analysis (CA) including supplementary row and/or column points on a Shiny application.
Columns or rows with NA are considered as supplementary in the analysis.
Allows to change CA parameters and graphical parmeters.
Graphics can be downloaded in png, jpg and pdf.
● Data Source:
CranContrib
● Keywords:
● Alias: CAshiny
●
0 images
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providing 
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