plot1d {interca}

Creates interpretive axis

Description

The function takes the result of the interca() function and the number of a factorial axis and returns the corresponding interpretive axis with the most significant points.

Usage

plot1d(res, dim = 1)

Arguments

res

The result of the execution of the interca() function.

dim

The number of the interpretive axis to be printed.

Details

The interca() function must be executed first in order to use the function.

Value

The function returns a ggplot2 scatterplot that corresponds to a single interpretive dimension obtained via interca().

See Also

interca

Examples

# 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)
plot1d(res,1)