plotAdjustedRtime {xcms} | R Documentation

## Visualization of alignment results

### Description

Plot the difference between the adjusted and the raw retention time (y-axis) for each file along the (adjusted or raw) retention time (x-axis). If alignment was performed using the `adjustRtime-peakGroups` method, also the features (peak groups) used for the alignment are shown.

### Usage

    plotAdjustedRtime(object, col = "#00000080", lty = 1, type = "l",
      adjustedRtime = TRUE, xlab = ifelse(adjustedRtime, yes =
      expression(rt[adj]), no = expression(rt[raw])), ylab = expression(rt[adj] -
      rt[raw]), peakGroupsCol = "#00000060", peakGroupsPch = 16,
      peakGroupsLty = 3, ...)

### Arguments

`object` | A `XCMSnExp` object with the alignment results.
`col` | colors to be used for the lines corresponding to the individual samples.
`lty` | line type to be used for the lines of the individual samples.
`type` | plot type to be used. See help on the `par` function for supported values.
`adjustedRtime` | logical(1) whether adjusted or raw retention times should be shown on the x-axis.
`xlab` | the label for the x-axis.
`ylab` | the label for the y-axis.
`peakGroupsCol` | color to be used for the peak groups (only used if alignment was performed using the `adjustRtime-peakGroups` method.
`peakGroupsPch` | point character (`pch`) to be used for the peak groups (only used if alignment was performed using the `adjustRtime-peakGroups` method.
`peakGroupsLty` | line type (`lty`) to be used to connect points for each peak groups (only used if alignment was performed using the `adjustRtime-peakGroups` method.
`...` | Additional arguments to be passed down to the `plot` function.

### Author(s)

Johannes Rainer

### See Also

`adjustRtime` for all retention time correction/ alignment methods.

### Examples

    ## Below we perform first a peak detection (using the matchedFilter
    ## method) on some of the test files from the faahKO package followed by
    ## a peak grouping and retention time adjustment using the "peak groups"
    ## method
    library(faahKO)
    library(xcms)
    fls <- dir(system.file("cdf/KO", package = "faahKO"), recursive = TRUE,
               full.names = TRUE)

    ## Reading 2 of the KO samples
    raw_data <- readMSData(fls[1:2], mode = "onDisk")

    ## Perform the peak detection using the matchedFilter method.
    mfp <- MatchedFilterParam(snthresh = 20, binSize = 1)
    res <- findChromPeaks(raw_data, param = mfp)

    ## Performing the peak grouping using the "peak density" method.
    p <- PeakDensityParam(sampleGroups = c(1, 1))
    res <- groupChromPeaks(res, param = p)

    ## Perform the retention time adjustment using peak groups found in both
    ## files.
    fgp <- PeakGroupsParam(minFraction = 1)
    res <- adjustRtime(res, param = fgp)

    ## Visualize the impact of the alignment. We show both versions of the plot,
    ## with the raw retention times on the x-axis (top) and with the adjusted
    ## retention times (bottom).
    par(mfrow = c(2, 1))
    plotAdjustedRtime(res, adjusted = FALSE)
    grid()
    plotAdjustedRtime(res)
    grid()

[Package xcms version 3.2.0 Index]