Plots a heatmap of raw data.
Usage
plot_heatmap(
data = NULL,
trial_number = NULL,
bg_image = NULL,
res = c(0, 1920, 0, 1080),
flip_y = FALSE,
alpha_control = 0.1,
plot_header = FALSE
)Arguments
- data
data in standard raw data form (time, x, y, trial)
- trial_number
can be used to select particular trials within the data
- bg_image
The filepath of an image to be added to the plot, for example to show a screenshot of the task.
- res
resolution of the display to be shown, as a vector (xmin, xmax, ymin, ymax)
- flip_y
reverse the y axis coordinates (useful if origin is top of the screen)
- alpha_control
a single value to determine how much of the heatmap to obscure. Between 0 and 1. Lower values include more data in the heatmap
- plot_header
display the header title text which explains graphical features of the plot.
Examples
# \donttest{
data <- combine_eyes(HCL)
data <- data[data$pNum == 118,]
# plot all trials data
plot_heatmap(data, alpha_control = .01)
#> Warning: Removed 320 rows containing non-finite outside the scale range
#> (`stat_density2d()`).
#> Warning: Removed 396 rows containing missing values or values outside the scale range
#> (`geom_tile()`).
#plot one trial
plot_heatmap(data, trial_number = 1)
#> Warning: Removed 121 rows containing non-finite outside the scale range
#> (`stat_density2d()`).
#> Warning: Removed 396 rows containing missing values or values outside the scale range
#> (`geom_tile()`).
# }