| ctPlotSummaryProfiles | R Documentation | 
ctPlotSummaryProfiles
ctPlotSummaryProfiles(
  sts,
  feature_name = NULL,
  signal_name = NULL,
  xbins = 10,
  ybins = xbins,
  profile_value = ssvQC:::val2var[sts$signal_config$plot_value],
  profile_value_label = ssvQC:::val2lab[sts$signal_config$plot_value],
  xrng = NULL,
  yrng = NULL,
  ylim = c(0, NA),
  ma_size = 2,
  n_splines = 10,
  p = NULL,
  N_floor = 0,
  N_ceiling = NULL,
  min_fraction = 0.2,
  return_data = FALSE,
  extra_vars = c("name", "name_split")
)
| sts | A ChIPtSNE object with ssvQC.prepSignal already called. | 
| feature_name | Feature name present in sts. With default of NULL, first feature name will be used. | 
| signal_name | Signal name present in sts. With default of NULL, first signal name will be used. | 
| xbins | Number of bins (pixel) in the x direction | 
| ybins | Number of bins (pixel) in the y direction. Default reuses xbins. | 
| profile_value | Value to use for profiles. Default is the plot_value defined in the signal config of sts. | 
| profile_value_label | Label to use for profile scale. Default is the plot_value label defined in the signal config of sts. | 
| xrng | numeric vector of length 2 defining range of x-axis. Default is full range. | 
| yrng | numeric vector of length 2 defining range of y-axis. Default is full range. | 
| ylim | Range of y-axis within profile glyphs. Default is 0 to max. | 
| ma_size | Number of profile x-values to use for moving average. | 
| n_splines | Number of splines to use to smooth after moving average. | 
| p | Previous ggplot to plot over. | 
| N_floor | Profiles with N_floor points will have the minimum size. | 
| N_ceiling | Profiles with N_ceiling or more points will have the maximum size. | 
| min_fraction | Minimum fraction between N_floor and N_ceiling required to be included. For example 1) if N_floor is 5, and min_fraction is 0, profiles with fewer than 5 points will be omitted 2) if N_ceiling is 25 and min_fraction is 1, all profiles will be plotted at max size and profiles with fewer than 25 points will be dropped 3) N_floor is 5 and N_ceiling is 25 and min_fraction is .5, profiles with 15 points will be half size and profiles will fewer than 15 points will be omitted. | 
| return_data | 
ggplot where profiles present in bins are summarized by glyphs.
data(ex_sts) ctPlotSummaryProfiles(sts)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.