This had to be reverse engineered from the table in the text.
survey <- structure(list(
A = c(
"adult", "adult", "adult", "adult", "adult",
"adult"
), R = c("big", "small", "big", "big", "big", "small"),
E = c("high", "uni", "uni", "high", "high", "high"), O = c(
"emp",
"emp", "emp", "emp", "emp", "emp"
), S = c(
"F", "M", "F",
"M", "M", "F"
), T = c(
"car", "car", "train", "car", "car",
"train"
)
), class = c("spec_tbl_df", "tbl_df", "tbl", "data.frame"), row.names = c(NA, -6L), spec = structure(list(cols = list(
A = structure(list(), class = c("collector_character", "collector")), R = structure(list(), class = c(
"collector_character",
"collector"
)), E = structure(list(), class = c(
"collector_character",
"collector"
)), O = structure(list(), class = c(
"collector_character",
"collector"
)), S = structure(list(), class = c(
"collector_character",
"collector"
)), T = structure(list(), class = c(
"collector_character",
"collector"
))
), default = structure(list(), class = c(
"collector_guess",
"collector"
)), skip = 1L), class = "col_spec"))
survey
#> # A tibble: 6 x 6
#> A R E O S T
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 adult big high emp F car
#> 2 adult small uni emp M car
#> 3 adult big uni emp F train
#> 4 adult big high emp M car
#> 5 adult big high emp M car
#> 6 adult small high emp F train
Created on 2020-11-16 by the reprex package (v0.3.0.9001)