Adds an new entry to an existing colleciton object.
add_spectrum(x, ...) # S3 method for collection add_spectrum( x, values, left, right, id = deparse(substitute(values)), label = NA, ... )
x | A |
---|---|
... | further arguments passed to or from other methods(not currenctly used). |
values | A vector of intensity values. |
left | A dbl, left limit of the spectra, corresponds to the
first element of |
right | A dbl, right limit of the spectra, corresponds to the
last element of |
id | A unique identifier for the sample. |
label | A label for the sample. |
An updated version of x
.
It is assumed that the binning is uniform and correspond to point measurments.
Be careful with the values of left
and right
! THis is important
for example for NMR data which are usually given with a reversed
y-axis.
labels
should be used to provide meanigful labels to the samples, e.g.
'treated' and 'control'.
It is recommended to populate a collection using purrr::walk
on a list of files (see example).
#################################################################### # A simple example: adding a spectra from a vector of values: library(tidySpectR) # Genearating some values values = runif(50) left = 0 right = 49 # Collection is empty on creation coll = collection() # Adding the data coll %>% add_spectrum(values, left, right, id = "basic_example", label = "test")#> Spectra collection containing 1 entries. #> Number of bins: 50 #> Limits: -0.5 49.5 #> Labels: test #> #> Processing:#################################################################### if (FALSE) { # Real life example: parsing data form file and adding them to a # collection on the fly library(purrr) # Generate a list of file paths for a folder containing spectra data files folder_path <- "path/to/data/folder" files <- file.path(folder_path, list.files(folder_path)) # Create a collection and add the spectra coll <- collection() purrr::walk(files, function(x){ # Parse your files to extract values, limits and ids # ... coll <<- coll %>% add_spectrum(values, left, right, id) }) }