Heatmaps and summary plots for model performance

heat_map generates a heatmap for model accuracy evaluation along two continuous variables and up to two categorical values. Instead heat_sum summarise the heatmap over opne of the two continuous and crossed variables.

Usage

heat_map(
  simu,
  x,
  y,
  stat,
  grp1,
  grp2,
  conversion,
  ttl,
  x_lab,
  y_lab,
  x_sec = NULL,
  trans_base = -2,
  trans_n = 10,
  save = FALSE
)

Arguments

simu

Performance for test statistics on intra-analysis isotope variability ("intra") or inter-analysis isotope variability ("inter").

x

Variable (continuous variable number one) isotope offset in paper.

y

Variable (continuous variable number two) excess ionization efficiency in paper.

stat

Numeric for the model accuracy (between 0 and 1).

grp1

Nominal factorial number one; outlier detection method in paper.

grp2

Nominal factorial number one; for intra-isotope variability in paper.

conversion

Named vector for the conversion of the ionization trend to excess ionization efficiency.

ttl

Character string or expression for the plot title.

x_lab

Character string or expression for the x-axis label.

y_lab

Character string or expression for the y-axis label.

x_sec

Character string or expression for the secondary x-axis label.

trans_base

Isotope value for the scale transformation for fractional size of the isotope anomaly.

trans_n

Initial sample size for the scale transformation for fractional size of the isotope anomaly.

save

Save the produced plot.

Value

ggplot.