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This dataframe can be converted into a repgrid object via importDataframe(). The columns names are elements followed by the constructs (left_pole_1:right_pole_1 to left_pole_3:right_pole_3). The poles are separated by a colon by default (change via arg pole_sep). The rows contain the elements' entries (element name and ratings). The min and max of the rating scale should be passed explicitly via the args rmin and rmax. See sample data df_construct_columns.

Details

elementsleft_pole_1:right_pole_1left_pole_2:right_pole_2left_pole_3:right_pole_3element_1
532element_23
34element_315
2element_4433

See also

Examples

df_construct_columns
#> # A tibble: 4 × 4
#>   element   left pole 1:right po…¹ left pole 2:right po…² left pole 3:right po…³
#>   <chr>     <chr>                  <chr>                  <chr>                 
#> 1 element 1 5                      3                      2                     
#> 2 element 2 3                      3                      4                     
#> 3 element 3 1                      5                      2                     
#> 4 element 4 4                      3                      3                     
#> # ℹ abbreviated names: ¹​`left pole 1:right pole 1`,
#> #   ²​`left pole 2:right pole 2`, ³​`left pole 3:right pole 3`
importDataframe(df_construct_columns, format = "construct_columns", rmin = 1, rmax = 5)
#> 
#> META DATA:
#> Number of elements:  4 
#> Number of constructs:  3 
#> Preferred poles defined:  0/3 
#> 
#> SCALE INFO:
#> The grid is rated on a scale from 1 (left pole) to 5 (right pole)
#> 
#> RATINGS:
#>          element 2 - 2 3 - element 3          
#>        element 1 - 1 | | 4 - element 4        
#>                    | | | |                    
#> left pole 1 (.1)   5 3 1 4   (1.) right pole 1
#> left pole 2 (.2)   3 3 5 3   (2.) right pole 2
#> left pole 3 (.3)   2 4 2 3   (3.) right pole 3
#> 
#> Poles: (+) = preferred , (-) = non-preferred , (/) = none , (.) = not defined