Calculate actual interaction values between two terms in a data frame.

This function calculates the actual interaction values between two terms, lbl_term_1 and lbl_term_2, in the given data frame data. The interaction values are computed based on the mean log expression levels of the conditions satisfying the specified term combinations, and also considering a reference condition.

Usage

calculate_actual_interactionX2_values(
  data,
  l_reference,
  clmn_term_1,
  lbl_term_1,
  clmn_term_2,
  lbl_term_2
)

Arguments

data

A data frame containing the expression data and associated terms.

l_reference

A data frame representing the reference condition for the interaction.

clmn_term_1

The name of the column in data representing the first term.

lbl_term_1

The label of the first term to compute interactions for.

clmn_term_2

The name of the column in data representing the second term.

lbl_term_2

The label of the second term to compute interactions for.

Value

A numeric vector containing the actual interaction values between the specified terms.

Examples

average_gt <- data.frame(clmn_term_1 = c("A", "A", "B", "B"), 
                         clmn_term_2 = c("X", "Y", "Y", "X"),
                         logQij_mean = c(1.5, 8.0, 0.5, 4.0))
# Définir les paramètres de la fonction
l_label <- list(clmn_term_1 = c("A", "B"), clmn_term_2 = c("X", "Y"))
clmn_term_1 <- "clmn_term_1"
lbl_term_1 <- "B"
clmn_term_2 <- "clmn_term_2"
lbl_term_2 <- "Y"
# Calculer la valeur d'interaction réelle
actual_interaction <- calculate_actual_interactionX2_values(average_gt, 
                                       l_label, clmn_term_1, lbl_term_1, 
                                       clmn_term_2, lbl_term_2)