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Coverage heatmap

plot_coverage_heatmap.Rd

Coverage heatmap with color indicating specific value

Usage

plot_coverage_heatmap(
  x_dat,
  protein = x_dat[["Protein"]][1],
  state = NULL,
  value = NULL,
  time_t = NULL,
  interactive = getOption("hadex_use_interactive_plots")
)

Arguments

x_dat

data created using calculate_ or create_ function

protein

selected protein

state

...

value

value to be presented

time_t

...

interactive

...

Value

a ggplot object

Details

...

See also

read_hdx plot_coverage

Examples

uptake_dat <- create_uptake_dataset(alpha_dat, states = "Alpha_KSCN")
plot_coverage_heatmap(uptake_dat)

plot_coverage_heatmap(x_dat = uptake_dat, value = "frac_deut_uptake", time_t = 0.167)

plot_coverage_heatmap(uptake_dat, value = "err_frac_deut_uptake", time_t = 0.167)


diff_uptake_dat <- create_diff_uptake_dataset(alpha_dat)
plot_coverage_heatmap(diff_uptake_dat)

plot_coverage_heatmap(diff_uptake_dat, value = "diff_frac_deut_uptake")
#> No time point selected!

plot_coverage_heatmap(diff_uptake_dat, value = "diff_frac_deut_uptake", time_t = 0.167)

plot_coverage_heatmap(diff_uptake_dat, value = "err_diff_frac_deut_uptake", time_t = 0.167)
#> Scale for fill is already present.
#> Adding another scale for fill, which will replace the existing scale.


auc_dat <- calculate_auc(create_uptake_dataset(alpha_dat))
plot_coverage_heatmap(auc_dat, value = "auc")


bex_dat <- calculate_back_exchange(alpha_dat, state = "Alpha_KSCN")
plot_coverage_heatmap(bex_dat, value = "back_exchange")