
Sample dataframe with grid data (elements are columns)
Source:R/data-openrepgrid.r
df_element_columns.Rd
This dataframe can be converted into a repgrid
object via importDataframe()
. The dataframe column names are the
minimum of the rating scale (1
), the element names (element_1
to element_4
), the maximum of the rating scale
(5
), and optionally a column indicating the preferred
pole. Each row contains the constructs' entries (left
pole, ratings, right pole, preferred pole). The preferred pole must be one of left
, right
, none
, NA
(see
preferredPoles()
). See sample data df_element_columns.
Details
1 | element_1 | element_2 | element_3 | element_4 | 5 | preferred |
left_pole_1 | 1 | 5 | 3 | 4 | right_pole_1 | left |
left_pole_2 | 3 | 1 | 1 | 3 | right_pole_2 | right |
left_pole_3 | 4 | 2 | 5 | 1 | right_pole_3 | none |
See also
Other grid dataframes:
df_construct_columns
,
df_long
Examples
df_element_columns
#> 1 element 1 element 2 element 3 element 4 5
#> 1 left pole 1 5 3 1 4 right pole 1
#> 2 left pole 2 3 3 5 3 right pole 2
#> 3 left pole 3 2 4 2 3 right pole 3
#> preferred_pole
#> 1 left
#> 2 right
#> 3 none
importDataframe(df_element_columns)
#>
#> META DATA:
#> Number of elements: 4
#> Number of constructs: 3
#> Preferred poles defined: 3/3
#>
#> 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