| view_plate {PlateVision} | R Documentation |
Visualize Plate Layout (Heatmap)
Description
Creates a physical map of the 96-well plate colored by Ct value or Sample.
Usage
view_plate(data, fill_var = "Ct", interactive = FALSE)
Arguments
data |
The dataframe output from import_plate(). |
fill_var |
The column to color the wells by (e.g., "Ct", "Sample", "Gene"). |
interactive |
If TRUE, returns a plotly interactive graph. If FALSE, returns static ggplot. |
Value
A ggplot object or plotly object.
Examples
# Create dummy data representing a partial plate
dummy_data <- data.frame(
Well = c("A1", "A2", "A3", "B1", "B2", "B3"),
Ct = c(20, 20.5, 19.8, 25, 24.5, 26),
Sample = c(rep("Control", 3), rep("Treated", 3)),
Gene = "GAPDH"
)
# View static heatmap
view_plate(dummy_data, fill_var = "Ct")
# View interactive heatmap (if library plotly is available)
view_plate(dummy_data, fill_var = "Sample", interactive = FALSE)
[Package PlateVision version 0.1.0 Index]