Extract ratings (wide or long format)
Usage
ratings(x, names = TRUE, trim = 10)
ratings_df(x, long = FALSE, names = TRUE, trim = NA)
ratings(x, i, j) <- valueArguments
- x
A
repgridobject.- names
Extract row and columns names (constructs and elements).
- trim
The number of characters a row or column name is trimmed to (default is
10). IfNAno trimming is done. Trimming simply saves space when displaying the output.- long
Return as long format? (default
FALSE)- i, j
Row and column indices.
- value
Numeric replacement value(s).
Examples
## store Bell's dataset in x
x <- bell2010
## get ratings
ratings(x)
#> elements
#> constructs self closest fr the unhapp A person o A teacher
#> relaxed - worried & 4 4 6 5 3
#> not so sma - smart (aca 6 7 6 5 7
#> dislikes s - loves spor 6 3 7 6 4
#> not intera - loves peop 6 7 5 6 6
#> not transp - transparen 6 4 5 7 3
#> insensitiv - sensitive 4 6 5 4 4
#> fearful&ti - fearless 5 4 4 6 5
#> rough - gentle 5 6 6 4 5
#> accept as - loves to a 5 5 6 7 4
#> elements
#> constructs Mother (or A person o The most c A person y
#> relaxed - worried & 6 5 2 2
#> not so sma - smart (aca 4 6 7 4
#> dislikes s - loves spor 4 2 3 6
#> not intera - loves peop 5 6 7 7
#> not transp - transparen 7 6 5 6
#> insensitiv - sensitive 6 5 3 4
#> fearful&ti - fearless 3 5 6 5
#> rough - gentle 7 7 3 5
#> accept as - loves to a 4 6 7 5
#> elements
#> constructs A teacher
#> relaxed - worried & 6
#> not so sma - smart (aca 7
#> dislikes s - loves spor 3
#> not intera - loves peop 4
#> not transp - transparen 3
#> insensitiv - sensitive 2
#> fearful&ti - fearless 5
#> rough - gentle 6
#> accept as - loves to a 5
## replace ratings
ratings(x)[1, 1] <- 1
# noet that this is even simpler using the repgrid object directly
x[1, 1] <- 2
# replace several values
ratings(x)[1, 1:5] <- 1
x[1, 1:5] <- 2 # the same
ratings(x)[1:3, 5:6] <- matrix(5, 3, 2)
x[1:3, 5:6] <- matrix(5, 3, 2) # the same
## ratings as dataframe in wide or long format
ratings_df(x)
#> construct_index leftpole rightpole self
#> 1 1 relaxed worried & tense 2
#> 2 2 not so smart (academically) smart (academically) 6
#> 3 3 dislikes sports loves sports 6
#> 4 4 not interactive loves people 6
#> 5 5 not transparent transparent 6
#> 6 6 insensitive sensitive 4
#> 7 7 fearful&timid fearless 5
#> 8 8 rough gentle 5
#> 9 9 accept as it is loves to argue 5
#> closest friend of the same sex the unhappiest person you know
#> 1 2 2
#> 2 7 6
#> 3 3 7
#> 4 7 5
#> 5 4 5
#> 6 6 5
#> 7 4 4
#> 8 6 6
#> 9 5 6
#> A person of the opposite sex that you don't get along with
#> 1 2
#> 2 5
#> 3 6
#> 4 6
#> 5 7
#> 6 4
#> 7 6
#> 8 4
#> 9 7
#> A teacher you respected Mother (or the person who filled that kind of role)
#> 1 5 5
#> 2 5 5
#> 3 5 5
#> 4 6 5
#> 5 3 7
#> 6 4 6
#> 7 5 3
#> 8 5 7
#> 9 4 4
#> A person of the opposite sex that you like more than you dislike
#> 1 5
#> 2 6
#> 3 2
#> 4 6
#> 5 6
#> 6 5
#> 7 5
#> 8 7
#> 9 6
#> The most confident person you know
#> 1 2
#> 2 7
#> 3 3
#> 4 7
#> 5 5
#> 6 3
#> 7 6
#> 8 3
#> 9 7
#> A person you work well with (at job or on sports team etc)
#> 1 2
#> 2 4
#> 3 6
#> 4 7
#> 5 6
#> 6 4
#> 7 5
#> 8 5
#> 9 5
#> A teacher you did not respect
#> 1 6
#> 2 7
#> 3 3
#> 4 4
#> 5 3
#> 6 2
#> 7 5
#> 8 6
#> 9 5
ratings_df(x, long = TRUE)
#> # A tibble: 90 × 5
#> construct_index leftpole rightpole element rating
#> <int> <chr> <chr> <chr> <dbl>
#> 1 1 relaxed worried & tense self 2
#> 2 1 relaxed worried & tense closest friend of the same s… 2
#> 3 1 relaxed worried & tense the unhappiest person you kn… 2
#> 4 1 relaxed worried & tense A person of the opposite sex… 2
#> 5 1 relaxed worried & tense A teacher you respected 5
#> 6 1 relaxed worried & tense Mother (or the person who fi… 5
#> 7 1 relaxed worried & tense A person of the opposite sex… 5
#> 8 1 relaxed worried & tense The most confident person yo… 2
#> 9 1 relaxed worried & tense A person you work well with … 2
#> 10 1 relaxed worried & tense A teacher you did not respect 6
#> # ℹ 80 more rows