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There is a one issue about predicted values in candisc.
data(iris) iris.mod = lm(cbind(Sepal.Length,Sepal.Width,Petal.Length,Petal.Width)~Species,data=iris) iris.can = candisc(iris.mod, data=iris) pred = predict(iris.can)
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class "candisc"
I try same thing with MASS lda iris.lda = lda(iris[,1:4],iris$Species,data=iris) pred = predict(iris.lda) iris.table = table(iris$Species,pred$class) iris.table
it gives this table.
You can add this function in your package.
The text was updated successfully, but these errors were encountered:
Hi Michael,
We're currently on the road on our way to Florida, arriving Friday night. Let me know if you need me to do something about this.
Best,
John
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Subject: Re: [friendly/candisc] Predicted Values (#2)
Thanks; I'll look into this.
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There is a one issue about predicted values in candisc.
data(iris)
iris.mod = lm(cbind(Sepal.Length,Sepal.Width,Petal.Length,Petal.Width)~Species,data=iris)
iris.can = candisc(iris.mod, data=iris)
pred = predict(iris.can)
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class "candisc"
I try same thing with MASS
lda
iris.lda = lda(iris[,1:4],iris$Species,data=iris)
pred = predict(iris.lda)
iris.table = table(iris$Species,pred$class)
iris.table
it gives this table.
You can add this function in your package.
The text was updated successfully, but these errors were encountered: