tidyspec
The goal of tidyspec is to provide a friendly pipeline for spectroscopy analysis using the tidy data philosophy.
Installation
You can install the development version of tidyspec from GitHub with:
# install.packages("devtools")
devtools::install_github("marceelrf/tidyspec")
About
The tidyspec
package was design to enable the data analysis of
spectroscopy data (as IR, Raman, NMR) with the tidy-data format. There
are 6 families of functions in tidyspec
, all starting with spec_
:
Transformation: Convert data from absorbance to transmittance (
spec_abs2trans
) & from transmittance to absorbance (spec_trans2abs
).Normalize: Normalize the data to range 0-1 (
spec_norm_01
), normalize between a custom range (spec_norm_minmax
), or normalize to have a standard deviation of one (spec_norm_var
).Baseline correction: Correct the baseline using the the rolling ball algorithm (
spec_blc_rollingBall
) or Iterative Restricted Least Squares (spec_blc_irls
). The functionspec_bl
return the baseline vectors (spec_bl_rollingBall
,spec_bl_irls
).Smooth correction: Smooth the data using the average window (
spec_smooth_avg
) or using the Savitzky-Golay algorithm (spec_smooth_sga
).Derivative: Create differential data from the spectra (
spec_diff
).Preview: Preview your data while applying changes statically (
spec_smartplot
) or interactively (spec_smartplotly
).Import/Export: Import spectra data from common data formats, like csv, txt, tsv, xslx and xls, with
spec_read
. Export functions will be created in next moment, but user can easily use{readr}
or{writexl}
functions.
The function set_spec_wn
simplifies the use of functions by globally
defining the column that contains the wave numbers. User can check the
wavenumber column with check_wn_col
.
Example
This is a basic example which shows you how to solve a common problem:
library(tidyspec)
The data
head(CoHAspec)
#> # A tibble: 6 x 5
#> Wavenumber CoHA01 CoHA025 CoHA05 CoHA100
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 399. 0.871 1.36 1.17 1.05
#> 2 401. 0.893 1.24 1.05 0.925
#> 3 403. 0.910 1.20 0.997 0.876
#> 4 405. 0.914 1.19 0.982 0.867
#> 5 407. 0.908 1.18 0.965 0.857
#> 6 409. 0.887 1.14 0.936 0.828
Set the wavenumber column
set_spec_wn("Wavenumber")
check_wn_col()
#> The current wavenumber column is: Wavenumber
Plot the data
spec_smartplot(CoHAspec)
Convert to trasmittance
CoHAspec |>
spec_abs2trans() |>
spec_smartplot(type = "transmittance")
Select the spectra
spec_select(CoHAspec, CoHA01) |>
spec_smartplot(geom = "line")
The future of tidyspec
Our plan is for tidyspec to be the first step toward a complete ecosystem for spectral data analysis. For spectral band analysis, we are creating the bandspec package that handles different band profiles. We also intend to create a package focused on producing publication-level graphics for spectral data. We haven’t thought of a name yet, so we welcome suggestions!