Tidy version of the "Bugs" dataset.

bugs_long

Format

A data frame with 372 rows and 6 variables

  • subject. Dummy identity number for each participant.

  • gender. Participant's gender (Female, Male).

  • region. Region of the world the participant was from.

  • education. Level of education.

  • condition. Condition of the experiment the participant gave rating for (LDLF: low freighteningness and low disgustingness; LFHD: low freighteningness and high disgustingness; HFHD: high freighteningness and low disgustingness; HFHD: high freighteningness and high disgustingness).

  • desire. The desire to kill an arthropod was indicated on a scale from 0 to 10.

Source

https://www.sciencedirect.com/science/article/pii/S0747563213000277

Details

This data set, "Bugs", provides the extent to which men and women want to kill arthropods that vary in freighteningness (low, high) and disgustingness (low, high). Each participant rates their attitudes towards all anthropods. Subset of the data reported by Ryan et al. (2013).

Examples

dim(bugs_long)
#> [1] 372 6
head(bugs_long)
#> # A tibble: 6 x 6 #> subject gender region education condition desire #> <int> <fct> <fct> <fct> <chr> <dbl> #> 1 1 Female North America some LDLF 6 #> 2 2 Female North America advance LDLF 10 #> 3 3 Female Europe college LDLF 5 #> 4 4 Female North America college LDLF 6 #> 5 5 Female North America some LDLF 3 #> 6 6 Female Europe some LDLF 2
dplyr::glimpse(bugs_long)
#> Rows: 372 #> Columns: 6 #> $ subject <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17... #> $ gender <fct> Female, Female, Female, Female, Female, Female, Female, F... #> $ region <fct> North America, North America, Europe, North America, Nort... #> $ education <fct> some, advance, college, college, some, some, some, high, ... #> $ condition <chr> "LDLF", "LDLF", "LDLF", "LDLF", "LDLF", "LDLF", "LDLF", "... #> $ desire <dbl> 6.0, 10.0, 5.0, 6.0, 3.0, 2.0, 10.0, 10.0, 9.5, 8.5, 0.0,...