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plspm.formula (version 1.0.1)

bkadulte: Adult Resilience Dataset From Bouake (Ivory Coast)

Description

This data set contains the variables from a resilience study of 117 adult people in the town of Bouake (Ivory Coast). A data frame with 117 observations on the following 22 variables.

Usage

data("bkadulte")

Arguments

Source

UMI Resilience (CIRES-IRD), observatory of resilience in Bouake (Ivory Coast)

Details

In the context of the resilometric, the variables are all manifests variables and can be classify into five groups (five resilience dimensions):
SDH
sens of humor (senshum, creativite)

APS
pro-social attitude (communic, sociabilite, altruiste)

HRP
hability to solving problems (planific, solution, autonome)

SCI
sentiment of internal control (estime, confiance, favenir)

SPI
spirituality (optimisme, persever, religion)

References

COULIBALY Kpinna Tiekoura, Odilon Yapo M. ACHIEPO, Brou Konan Marcellin, Michel Babri. (2015). Resilometrical modeling of interactions in social resilience dimensions. International Journal of Computer Science Issues (IJCS ), Volume 12, Issue 4, July 2015. http://www.ijcsi.org/papers/IJCSI-12-4-149-155.pdf

Examples

Run this code
## Load data
data(bkadulte)
str(bkadulte) 
bkmodele <- "
             ## modele de mesure 
              SDH =~ senshum+creativite 
              APS =~ communic+sociabilite+altruiste+relation
              HRP =~ planific+solution+autonome
              SCI =~ estime+confiance+favenir
              SPI =~ optimisme+persever+religion 
            ## interactions 
              HRP ~~ SDH+SCI
              SCI ~~ SDH
              APS ~~ SDH
              SPI ~~ APS+SCI
          "
## PLSPM estimation based on formula
bkmodes <- rep("A",5)  
bkres.plspm <- plspm.formula(Formula = bkmodele, Data = bkadulte, modes = bkmodes, 
                        plot.outer = TRUE, plot.inner = TRUE, scaled = FALSE)
## Computation plspm parameters only based on formula
bkres.param <- plspm.params(Formula = bkmodele, Data = bkadulte)
bkres.param$inner.mat
bkres.param$outer.list

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