plotAdjustedRtime {xcms} | R Documentation |
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.
plotAdjustedRtime( object, col = "#00000080", lty = 1, lwd = 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, ylim, ... )
object |
A |
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. |
lwd |
line width to be used for the lines of the individual samples. |
type |
plot type to be used. See help on the |
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 |
peakGroupsPch |
point character ( |
peakGroupsLty |
line type ( |
ylim |
optional |
... |
Additional arguments to be passed down to the |
Johannes Rainer
adjustRtime
for all retention time correction/
alignment methods.
## Load a test data set with detected peaks data(faahko_sub) ## Update the path to the files for the local system dirname(faahko_sub) <- system.file("cdf/KO", package = "faahKO") ## Disable parallel processing for this example register(SerialParam()) ## Performing the peak grouping using the "peak density" method. p <- PeakDensityParam(sampleGroups = c(1, 1, 1)) res <- groupChromPeaks(faahko_sub, 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. plotAdjustedRtime(res, adjusted = FALSE) grid()