A collection is a matrix of spectral data and associated labels.
collection(...) # S3 method for default collection(...) # S3 method for collection tidy(x, ...)
... | further arguments passed to or from other methods(not currenctly used). |
---|---|
x | A |
An object of class collection
with sub-objects:
A tibble that contains the spectral data
Information about the normalization of the dataset
Information about the bucketting of the dataset
Information about the labelling of the dataset
Unique sample identifier
Label for the sample
Bin centers
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
).
#> # 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>, …