tiles_plot function

Tiles plot of predicted and observed values

It draws a tiles plot of predictions and observations with alternative axis orientation (P vs. O; O vs. P).

tiles_plot(
  data = NULL,
  obs,
  pred,
  bins = 10,
  colors = c(low = NULL, high = NULL),
  orientation = "PO",
  print_metrics = FALSE,
  metrics_list = NULL,
  position_metrics = c(x = NULL, y = NULL),
  print_eq = TRUE,
  position_eq = c(x = NULL, y = NULL),
  eq_color = NULL,
  regline_type = NULL,
  regline_size = NULL,
  regline_color = NULL,
  na.rm = TRUE
)

Arguments

• data: (Optional) argument to call an existing data frame containing the data.
• obs: Vector with observed values (numeric).
• pred: Vector with predicted values (numeric).
• bins: Argument of class numeric specifying the number of bins to create the tiles.
• colors: Vector or list with two colors '(low, high)' to paint the density gradient.
• orientation: Argument of class string specifying the axis orientation, PO for predicted vs observed, and OP for observed vs predicted. Default is orientation = "PO".
• print_metrics: boolean TRUE/FALSE to embed metrics in the plot. Default is FALSE.
• metrics_list: vector or list of selected metrics to print on the plot.
• position_metrics: vector or list with '(x,y)' coordinates to locate the metrics_table into the plot. Default : c(x = min(obs), y = 1.05*max(pred)).
• print_eq: boolean TRUE/FALSE to embed metrics in the plot. Default is FALSE.
• position_eq: vector or list with '(x,y)' coordinates to locate the SMA equation into the plot. Default : c(x = 0.70 max(x), y = 1.25*min(y)).
• eq_color: string indicating the color of the SMA-regression text.
• regline_type: string or integer indicating the SMA-regression line-type.
• regline_size: number indicating the SMA-regression line size.
• regline_color: string indicating the SMA-regression line color.
• na.rm: Logic argument to remove rows with missing values (NA). Default is na.rm = TRUE.

Returns

Object of class ggplot.

Details

It creates a tiles plot of predicted vs. observed values. The plot also includes the 1:1 line (solid line) and the linear regression line (dashed line). By default, it places the observed on the x-axis and the predicted on the y-axis (orientation = "PO"). This can be inverted by changing the argument orientation = “OP". For more details, see online-documentation

Examples

X <- rnorm(n = 100, mean = 0, sd = 10)
Y <- rnorm(n = 100, mean = 0, sd = 10)
tiles_plot(obs = X, pred = Y)

See Also

ggplot,geom_point,aes