Help with threshold 6

[marbini13]

Hello, I need to add 6 thresholds, for example when I have 3 thresholds, I usually used exclusion, tipping-point(cross-over) and inclusion. Now I need 6 thresholds, how could I do?
(cut point: 0, 0.2, 0.4, 0.6, 0.8, and 1)

-USUALLY USED: EXAMPLE:
GDP <- calibrate(raw1$gdppcrate92, type = "fuzzy",
method = "direct", thresholds = "e=-19.29, c=75, i=8.29",
logistic = TRUE, idm = 0.947)
GDP-fuzzy1$gdppcrate92f
plot(fuzzy1$gdppcrate92f, GDP,
pch = 1, col = "black",
cex.axis = 0.75,
cex.lab = 0.9, xlab = "gdppcrate92", ylab = "GDP")
text(fuzzy1$gdppcrate92f, GDP, labels = CASES, cex = 0.7, pos = 2)
abline(a = 0, b = 1, col = "grey")

[siddharthprabhu]

Hi @marbini13, welcome to RStudio Community.

Could you please provide a reproducible example (reprex)? That will make it easier for us to help you. Please read this guide to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…