plot_cor: Plot an ae object

In LBMC/wormAge: Real Age Prediction from Transcriptome staging On Reference

Plot an ae object

Description

Plots the correlation score curves from samples against the reference series.

Usage

plot_cor(
  ae_obj,
  subset = 1:ncol(ae_obj$cors),
  show.prior = F,
  c.lwd = 2,
  bar.size = 1,
  mx.col = "firebrick",
  col.p = "royalblue",
  xlab = NULL,
  ylab = NULL,
  ...
)

Arguments

ae_obj	an ae object, as returned by ae
subset	an index vector of the samples to plot (defaults to all)
show.prior	logical ; if TRUE, shows the input prior(s) on the plot.
c.lwd	line width for the correlation score curve
bar.size	size of the estimate confidence interval bars
mx.col	color of the age estimate bars
col.p	color of the prior bar
xlab, ylab	the x and y axis labels, passed on to plot
...	additional arguments passed on to plot

Examples

requireNamespace('wormRef', quietly = TRUE)

# get some samples to stage
samp <- wormRef::Cel_larval$g[,13:15]

# load interpolated reference
r_larv <- prepare_refdata(ref = 'Cel_larval', datapkg = 'wormRef' , n.inter = 200)

# perform age estimate
ae_test <- ae(samp, r_larv)

# check output
summary(ae_test)
plot(ae_test) # plot all sample estimates
plot_cor(ae_test) # plot individual correlation profiles of samples

# get results
ae_test$age.estimates

LBMC/wormAge documentation built on April 6, 2023, 3:52 a.m.