| Type: | Package |
| Title: | Satisfaction Analysis using Tetraclasse Model and Llosa Matrix |
| Version: | 0.1.21 |
| Author: | vincent guyader |
| Maintainer: | vincent guyader <vincent@thinkr.fr> |
| Description: | The satisfaction Analysis using the tetraclasse model from Sylvie Llosa. Llosa (1997) http://www.jstor.org/stable/40592578. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| Imports: | ggplot2, reshape2, tidyr, FactoMineR, magrittr, tibble, ggrepel, dplyr |
| RoxygenNote: | 6.0.1 |
| NeedsCompilation: | no |
| Packaged: | 2017-07-15 13:46:16 UTC; vincent |
| Repository: | CRAN |
| Date/Publication: | 2017-07-15 21:14:59 UTC |
tetraclasse
Description
Satisfaction Analysis - Tetraclasse Model And Llosa Matrix.
Examples
library(tetraclasse)
# generate an example dataset with 150 respondant
base <- gen_avis(150)
#prepare the dataset
base <- prepare_base(base)
# construct the Llosa matrix
gen_llosa(base)
if(require("dplyr")){
gen_avis(5000) %>%
sample_n(50,replace = TRUE)%>%
prepare_base() %>%
gen_llosa()
gen_avis(500) %>%
prepare_base() %>%
gen_llosa()
}
gen_llosa
Description
hack CA objet
Usage
Llosa(BID)
Arguments
BID |
CA objet to hack |
gen_avis
Description
generate some random data
Usage
gen_avis(N)
Arguments
N |
number of person |
Examples
base <- gen_avis(50)
gen_llosa
Description
plot the Llosa matrix
Usage
gen_llosa(dataset, borne = FALSE, annotate = TRUE,
annotatetext = c("Secondaire", " Plus", "Basique", "Clef"))
Arguments
dataset |
the dataset to use |
borne |
booleen do you want xlim and ylim |
annotate |
booleen do you want annotation |
annotatetext |
annotation text |
Examples
library(tetraclasse)
gen_avis(100) %>%
prepare_base() %>%
gen_llosa()
prepare_base
Description
reshape the base
Usage
prepare_base(base, satis_col = "satis")
Arguments
base |
the base to reshape |
satis_col |
satisfaction column name |
Examples
base <- gen_avis(150)
prepare_base(base)
Objects exported from other packages
Description
These objects are imported from other packages. Follow the links below to see their documentation.
- magrittr