preprocess {alsace} | R Documentation

## Preprocessing smooth time-wavelength data

### Description

Standard preprocessing of response matrices where the first axis is a time axis, and the second a spectral axis. An example is HPLC-DAD data. For smooth data, like UV-VIS data, there is the option to decrease the size of the matrix by interpolation. By default, the data are baseline-corrected in the time direction and smoothed in the spectral dimension.

### Usage

    preprocess(X, dim1, dim2, remove.time.baseline = TRUE,
               spec.smooth = TRUE, maxI, ...)

### Arguments

`X` | A numerical data matrix, missing values are not allowed. If rownames or colnames attributes are used, they should be numerical and signify time points and wavelengths, respectively.
`dim1` | A new, usually shorter, set of time points (numerical). The range of these should not be outside the range of the original time points, otherwise the function stops with an error message.
`dim2` | A new, usually shorter, set of wavelengths (numerical). The range of these should not be outside the range of the original wavelengths, otherwise the function stops with an error message.
`remove.time.baseline` | logical, indicating whether baseline correction should be done in the time direction. Default is TRUE.
`spec.smooth` | logical, indicating whether smoothing should be done in the spectral direction. Default is TRUE.
`maxI` | if given, the maximum intensity in the matrix is set to this value.
`...` | further optional arguments to the `baseline.corr` function.

### Value

The function returns the preprocessed data matrix, with rownames and colnames indicating the time points and wavelengths, respectively.

### Author(s)

Ron Wehrens

### Examples

    data(tea)
    tpoints <- as.numeric(rownames(tea.raw[[1]]))
    lambdas <- as.numeric(colnames(tea.raw[[1]]))

    ## limit retention time and wavelength ranges, and do smoothing and
    ## baseline correction
    new.time <- seq(13, 14.1, by = .05)
    new.wavelengths <- seq(400, 500, by = 2)
    tea.raw1.processed <-
      preprocess(tea.raw[[1]], dim1 = new.time, dim2 = new.wavelengths)

    plot(tpoints, tea.raw[[1]][,lambdas == 470],
         xlim = range(new.time), type = "l", col = "gray",
         main = "Chromatogram at 470 nm", xlab = "Time (min.)",
         ylab = "")
    lines(new.time, tea.raw1.processed[,new.wavelengths == 470], col = "red")
    legend("topleft", lty = 1, col = c("gray", "red"), bty = "n",
           legend = c("Original data", "Preprocessed data"))

    plot(lambdas, tea.raw[[1]][tpoints == 13.7,],
         xlim = range(new.wavelengths),
         ylim = c(0, max(tea.raw[[1]][tpoints == 13.7,])),
         type = "l", col = "gray",
         main = "Spectrum at 13.7 min.", xlab = expression(lambda),
         ylab = "")
    lines(new.wavelengths, tea.raw1.processed[new.time == 13.7,], col = "red")
    legend("topleft", lty = 1, col = c("gray", "red"), bty = "n",
           legend = c("Original data", "Preprocessed data"))

[Package alsace version 1.16.0 Index]