agri_studies: Agribusiness studies survey

In NaileR: Interpreting Latent Variables with AI

Agribusiness studies survey

Description

These data were collected after a Q-method-like survey on students' expectations of agribusiness studies. Participants had to rank how much they agreed with 38 statements about possible benefits from agribusiness studies; then, they were asked personal questions.

Usage

agri_studies

Format

A data frame with 53 rows (participants) and 42 columns (questions):

• columns 1-38: statements about agribusiness studies

• columns 39-42: personal information

Source

Juliette LE COLLONNIER and Lou ROBERT, students at l'Institut Agro Rennes-Angers

Examples

## Not run: 
# Processing time is often longer than ten seconds
# because the function uses a large language model.

library(NaileR)
data(agri_studies)

res_mca_agri <- FactoMineR::MCA(agri_studies, quali.sup = 39:42,
level.ventil = 0.05, graph = FALSE)
agri_work <- res_mca_agri$ind$coord |> as.data.frame()
agri_work <- agri_work[,1] |> cbind(agri_studies)

intro_agri <- "These data were collected after a survey
on students' expectations of agribusiness studies.
Participants had to rank how much they agreed with 38 statements
about possible benefits from agribusiness studies;
then, they were asked personal questions."
intro_agri <- gsub('\n', ' ', intro_agri) |>
stringr::str_squish()

res_agri <- nail_condes(agri_work, num.var = 1,
introduction = intro_agri)
res_agri

## End(Not run)

NaileR documentation built on April 4, 2025, 1:45 a.m.