Subtract baseline using robust fitting method
Usage
subtract_rf_baseline(data, yvar, span = 2/3, maxit = c(5, 5))Arguments
- data
A dataframe containing the variable for baseline subtraction
- yvar
The name of the column for baseline subtraction
- span
Controls the amount of smoothing based on the fraction of data to use in computing each fitted value, defaults to
2/3.- maxit
The number of iterations to use the robust fit, defaults to
c(5, 5)where the first value specifies iterations for asymmetric weighting function and the second value for symmetric weighting function.
Examples
meats_long |> subtract_rf_baseline(yvar = transmittance)
#> # A tibble: 21,500 × 8
#> id water fat protein channel transmittance raw baseline
#> <int> <dbl> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 1 60.5 22.5 16.7 1 -0.532 2.62 3.15
#> 2 1 60.5 22.5 16.7 2 -0.532 2.62 3.15
#> 3 1 60.5 22.5 16.7 3 -0.531 2.62 3.15
#> 4 1 60.5 22.5 16.7 4 -0.531 2.62 3.15
#> 5 1 60.5 22.5 16.7 5 -0.530 2.62 3.15
#> 6 1 60.5 22.5 16.7 6 -0.529 2.62 3.15
#> 7 1 60.5 22.5 16.7 7 -0.528 2.62 3.15
#> 8 1 60.5 22.5 16.7 8 -0.527 2.62 3.15
#> 9 1 60.5 22.5 16.7 9 -0.525 2.63 3.15
#> 10 1 60.5 22.5 16.7 10 -0.523 2.63 3.15
#> # … with 21,490 more rows
#> # ℹ Use `print(n = ...)` to see more rows