plot2d {interca}

Interpretive 2D plane

Description

The function takes as parameters the result of the interca() function, the interpretive axis that will form the x axis, and the interpretive axis that will form the y axis. The function returns the interpretive plane formed by the above.

Usage

plot2d(res, dim1 = 1, dim2 = 2)

Arguments

res

The result of the interca() function.

dim1

The number of the interpretive axis that will form the x axis of the interpretive plane.

dim2

The number of the interpretive axis that will form the y axis of the interpretive plane.

Value

The function returns a ggplot2 scatterplot that corresponds to a 2D interpretive plane obtained via interca().

See Also

interca

Examples

#For the example, we will use the wg93 data frame from the ca package.
# Set the seed to ensure reproducibility
set.seed(123)
# Create three categorical variables
X1 <- sample(c("X1_1", "X1_2"), size = 200, replace = TRUE)
X2 <- sample(c("X2_1", "X2_2", "X2_3"), size = 200, replace = TRUE)
X3 <- sample(c("X3_1", "X3_2", "X3_3", "X3_4"), size = 200, replace = TRUE)
# the resulting data frame
df <- data.frame(cbind(X1,X2,X3))
# convert to factors
df$X1 <- factor(df$X1)
df$X2 <- factor(df$X2)
df$X3 <- factor(df$X3)

res <- interca(df,5)
plot2d(res,1,2)