A collection is a matrix of spectral data and associated labels.

collection(...)

# S3 method for default
collection(...)

# S3 method for collection
tidy(x, ...)

Arguments

...

further arguments passed to or from other methods(not currenctly used).

x

A collection object.

Value

An object of class collection with sub-objects:

data

A tibble that contains the spectral data

normalized

Information about the normalization of the dataset

bucketted

Information about the bucketting of the dataset

labels

Information about the labelling of the dataset

A tibble with a variable number columns depending on the binning of the data:
id

Unique sample identifier

label

Label for the sample

bins

Bin centers

Details

The collection is empty on creation, use add_spectrum to populate it. It is recommended to populate a collection using purrr::walk on a list of files (see add_spectrum).

Examples

#> # A tibble: 6 x 2,252 #> id label `0.001978768338749… `0.005978768338749… `0.00997876833874… #> <fct> <fct> <dbl> <dbl> <dbl> #> 1 20199305… conventi… 2591796. 2853272 2852076. #> 2 20199306… conventi… 2416512. 2613998. 2689199 #> 3 20199504… conventi… 1965228. 2067044. 2080362 #> 4 20198124… organic 2576618. 2653498. 2730184 #> 5 20198124… organic 2335314 2401902 2421192 #> 6 20198124… organic 2415644. 2510800 2504370 #> # … with 2,247 more variables: 0.0139787683387494 <dbl>, #> # 0.0179787683387494 <dbl>, 0.0219787683387494 <dbl>, #> # 0.0259787683387494 <dbl>, 0.0299787683387494 <dbl>, #> # 0.0339787683387494 <dbl>, 0.0379787683387494 <dbl>, #> # 0.0419787683387494 <dbl>, 0.0459787683387494 <dbl>, #> # 0.0499787683387494 <dbl>, 0.0539787683387494 <dbl>, #> # 0.0579787683387494 <dbl>, 0.0619787683387494 <dbl>, #> # 0.0659787683387494 <dbl>, 0.0699787683387494 <dbl>, #> # 0.0739787683387494 <dbl>, 0.0779787683387494 <dbl>, #> # 0.0819787683387494 <dbl>, 0.0859787683387494 <dbl>, #> # 0.0899787683387494 <dbl>, 0.0939787683387494 <dbl>, #> # 0.0979787683387494 <dbl>, 0.101978768338749 <dbl>, 0.105978768338749 <dbl>, #> # 0.109978768338749 <dbl>, 0.113978768338749 <dbl>, 0.117978768338749 <dbl>, #> # 0.121978768338749 <dbl>, 0.125978768338749 <dbl>, 0.129978768338749 <dbl>, #> # 0.133978768338749 <dbl>, 0.137978768338749 <dbl>, 0.141978768338749 <dbl>, #> # 0.145978768338749 <dbl>, 0.149978768338749 <dbl>, 0.153978768338749 <dbl>, #> # 0.157978768338749 <dbl>, 0.161978768338749 <dbl>, 0.165978768338749 <dbl>, #> # 0.169978768338749 <dbl>, 0.173978768338749 <dbl>, 0.177978768338749 <dbl>, #> # 0.181978768338749 <dbl>, 0.185978768338749 <dbl>, 0.189978768338749 <dbl>, #> # 0.193978768338749 <dbl>, 0.197978768338749 <dbl>, 0.201978768338749 <dbl>, #> # 0.205978768338749 <dbl>, 0.209978768338749 <dbl>, 0.213978768338749 <dbl>, #> # 0.217978768338749 <dbl>, 0.221978768338749 <dbl>, 0.225978768338749 <dbl>, #> # 0.229978768338749 <dbl>, 0.233978768338749 <dbl>, 0.237978768338749 <dbl>, #> # 0.241978768338749 <dbl>, 0.245978768338749 <dbl>, 0.249978768338749 <dbl>, #> # 0.253978768338749 <dbl>, 0.257978768338749 <dbl>, 0.261978768338749 <dbl>, #> # 0.265978768338749 <dbl>, 0.269978768338749 <dbl>, 0.273978768338749 <dbl>, #> # 0.277978768338749 <dbl>, 0.281978768338749 <dbl>, 0.285978768338749 <dbl>, #> # 0.289978768338749 <dbl>, 0.293978768338749 <dbl>, 0.297978768338749 <dbl>, #> # 0.301978768338749 <dbl>, 0.305978768338749 <dbl>, 0.309978768338749 <dbl>, #> # 0.313978768338749 <dbl>, 0.317978768338749 <dbl>, 0.321978768338749 <dbl>, #> # 0.325978768338749 <dbl>, 0.329978768338749 <dbl>, 0.333978768338749 <dbl>, #> # 0.337978768338749 <dbl>, 0.341978768338749 <dbl>, 0.345978768338749 <dbl>, #> # 0.349978768338749 <dbl>, 0.353978768338749 <dbl>, 0.357978768338749 <dbl>, #> # 0.361978768338749 <dbl>, 0.365978768338749 <dbl>, 0.369978768338749 <dbl>, #> # 0.373978768338749 <dbl>, 0.377978768338749 <dbl>, 0.381978768338749 <dbl>, #> # 0.385978768338749 <dbl>, 0.389978768338749 <dbl>, 0.393978768338749 <dbl>, #> # 0.397978768338749 <dbl>, 0.401978768338749 <dbl>, 0.405978768338749 <dbl>, #> # 0.409978768338749 <dbl>, …