Specify sensory informations into a raw dataframe. The minimal sensory informations are the panelist, the product, the sensory attributes, and the method in which the evaluation was conducted. Additonally the session, the presentation order and hedonic evaluation can also be specified.
specify(data, sensory_method = c("QDA", "CATA", "RATA", "FCP", "FP", "JAR", "IPM"), panelist, product, session = NULL, pres_order = NULL, attribute, hedonic = NULL)
| data | a dataframe |
|---|---|
| sensory_method | method of sensory evaluation, available methods are QDA, CATA, RATA, FCP, FP, JAR, IPM |
| panelist | panelist column |
| product | product column |
| session | session column |
| pres_order | presentation order column |
| attribute | sensory attribute columns |
| hedonic | hedonic column |
a sensory table (dataframe with class of tbl_sensory)
(df <- specify( data = perfume_qda_consumers, sensory_method = "QDA", panelist = consumer, product = product, attribute = intensity:green, hedonic = NULL ))#> # A sensory table: <1236 x 23> #> # Sensory method: Quantitative Descriptive Analysis #> # Panelist: consumer <103 subjects> #> # Product: product <12 items> #> # Attribute: intensity, freshness, jasmin, ro...<21 lexicons> #> # Hedonic: None #> consumer product intensity freshness jasmin rose camomille fresh_lemon #> <fct> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 171 Angel 77 36.1 30 13.3 15.2 15.2 #> 2 171 Aromat… 69.7 26.7 75.2 17.9 15.5 16.7 #> 3 171 Chanel… 52.7 50.6 41.5 45.8 18.8 17.6 #> 4 171 Cinema 70 60.9 26.4 21.8 18.8 20.6 #> 5 171 Coco M… 73 66.1 40.6 18.2 15.2 15.2 #> 6 171 J'ador… 61.8 58.5 30 14.2 16.7 20.9 #> 7 171 J'ador… 48.8 50.9 46.1 48.2 18.2 22.7 #> 8 171 L'inst… 67.3 22.7 15.8 16.1 14.5 36.1 #> 9 171 Lolita… 76.7 19.1 27.9 17 16.1 16.7 #> 10 171 Pleasu… 52.4 67.6 49.4 62.7 20.9 46.4 #> # … with 1,226 more rows, and 15 more variables: vanilla <dbl>, citrus <dbl>, #> # anis <dbl>, sweet_fruit <dbl>, honey <dbl>, caramel <dbl>, spicy <dbl>, #> # woody <dbl>, leather <dbl>, nutty <dbl>, musk <dbl>, animal <dbl>, #> # earthy <dbl>, incense <dbl>, green <dbl>perfume_qda_experts %>% specify( sensory_method = "QDA", panelist = panelist, product = product, session = session, pres_order = rank, attribute = spicy:wrapping )#> # A sensory table: <288 x 16> #> # Sensory method: Quantitative Descriptive Analysis #> # Panelist: panelist <12 subjects> #> # Product: product <12 items> #> # Attribute: spicy, heady, fruity, green, van...<12 lexicons> #> # Hedonic: None #> panelist product session rank spicy heady fruity green vanilla floral woody #> <fct> <fct> <fct> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 SO Coco M… 1 1 0.6 0.7 7.1 0.8 2 8.6 0.7 #> 2 SO Lolita… 1 2 1.4 1.5 3.2 1.3 5.3 4.4 1.1 #> 3 SO Angel 1 3 3.8 9.7 1 0.6 1.9 3.6 0.6 #> 4 SO Pure P… 1 4 1.1 1.2 7.4 0.2 2.5 9.5 0.8 #> 5 SO Chanel… 1 5 4.9 8.4 3 0.3 0.1 4.9 3.3 #> 6 SO Aromat… 1 6 8.6 10 0 0 3.1 5 1.2 #> 7 SO J'ador… 1 7 1.5 0 9.4 0.3 0.3 8.1 0.5 #> 8 SO Pleasu… 1 8 0.2 0.2 5.3 2.8 0.5 9.3 0.5 #> 9 SO J'ador… 1 9 0.5 0.4 9.6 0.3 0.5 7.5 0.5 #> 10 SO L'inst… 1 10 2 8 0.5 0.5 4 7 4 #> # … with 278 more rows, and 5 more variables: citrus <dbl>, marine <dbl>, #> # greedy <dbl>, oriental <dbl>, wrapping <dbl>