PeakSegJoint (version 2022.4.6)

PeakSegJointError: PeakSegJointError

Description

Compute number of incorrect regions for every PeakSegJoint model.

Usage

PeakSegJointError(converted, 
    problem.regions)

Arguments

converted

Result of ConvertModelList.

problem.regions

data.frame of annotated region labels.

Value

List of error.totals (data.frame with one row for each model size, with counts of incorrect labels), error.regions (list of data.frames with labels and error status for each model size), modelSelection (data.frame with one row for each model from exactModelSelection), target (numeric vector of length 2, lower and upper limits of target interval of log.lambda penalty values in the interval regression problem).

Examples

# NOT RUN {
library(PeakSegJoint)
data(H3K36me3.TDH.other.chunk1, envir=environment())
lims <- c(43000000, 43200000) # left
some.counts <-
  subset(H3K36me3.TDH.other.chunk1$counts,
         lims[1] < chromEnd & chromStart < lims[2])
some.regions <-
  subset(H3K36me3.TDH.other.chunk1$regions,
         lims[1] < chromEnd & chromStart < lims[2])
fit <- PeakSegJointSeveral(some.counts)
converted <- ConvertModelList(fit)
error.list <- PeakSegJointError(converted, some.regions)

peaks.int.vec <- 1:3
show.peaks <- subset(converted$peaks, peaks %in% peaks.int.vec)
show.labels <- do.call(rbind, error.list$error.regions[paste(peaks.int.vec)])

if(interactive() && require(ggplot2)){
  ann.colors <-
    c(noPeaks="#f6f4bf",
      peakStart="#ffafaf",
      peakEnd="#ff4c4c",
      peaks="#a445ee")
  ggplot()+
    penaltyLearning::geom_tallrect(aes(
      xmin=chromStart/1e3, xmax=chromEnd/1e3, fill=annotation),
      alpha=0.5,
      color="grey",
      data=some.regions)+
    scale_fill_manual(values=ann.colors)+
    scale_linetype_manual("error type",
                          limits=c("correct", 
                                   "false negative",
                                   "false positive"
                                   ),
                          values=c(correct=0,
                                   "false negative"=3,
                                   "false positive"=1))+
    geom_step(aes(chromStart/1e3, count),
              color="grey50",
              data=some.counts)+
    penaltyLearning::geom_tallrect(aes(
      xmin=chromStart/1e3, xmax=chromEnd/1e3, linetype=status),
      fill=NA,
      color="black",
      size=1,
      data=show.labels)+
    geom_segment(aes(chromStart/1e3, 0,
                     xend=chromEnd/1e3, yend=0),
                 size=3,
                 color="deepskyblue",
                 data=show.peaks)+
    theme_bw()+
    theme(panel.margin=grid::unit(0, "cm"))+
    facet_grid(sample.id ~ peaks, scales="free")
}

# }