| calculate_ddct {PlateVision} | R Documentation |
Calculate ddCt Statistics
Description
Performs the complete Delta-Delta Ct method with error propagation.
Usage
calculate_ddct(data, ref_gene, control_group)
Arguments
data |
Output from import_plate(). |
ref_gene |
Name of the housekeeping gene (e.g., "GAPDH"). |
control_group |
Name of the control condition (e.g., "WT"). |
Value
A comprehensive dataframe with Fold Changes, Log2FC, P-values, and Error bars.
Examples
# Mock data: 2 biological replicates per group to allow t-test
df <- data.frame(
Sample = c("S1", "S2", "S3", "S4"),
Group = c("WT", "WT", "Treated", "Treated"),
Gene = c(rep("GAPDH", 4), rep("Target", 4)),
Ct = c(20, 20.1, 20.2, 20.3, # GAPDH (Consistent)
25, 24.8, 21, 21.2) # Target (Down in Treated)
)
calculate_ddct(df, ref_gene = "GAPDH", control_group = "WT")
[Package PlateVision version 0.1.0 Index]