step4: step4 - Finding optimal results using optimal conditions

Description Usage Arguments Examples

View source: R/regular_step.R

Description

step4 - Finding optimal results using optimal conditions

Usage

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step4(x_train, x_test, y1, y2, y3)

Arguments

x_train

: trainset

x_test

: newX(optimail conditon)

y1

: y expression of training data( y~. )

y2

: y expression of newX( y~. )

y3

: y value of NewX( y )

Examples

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 optimal results
step4(pss2.2  , pss2.3 , pss2.2$Firing_range~. , pss2.3$Firing_range~. ,pss2.3$Firing_range)
If there is no test set, put the training set in the test set field
Enter the news example name and value in data.frame parentheses
newx=data.frame(Firing_range=128, Number_of_ropes=3,Torsion_powered=49, catapult_weight=46, Catapult_armlength=38, Stopper_angle=48)

hogi76/dxlss documentation built on Sept. 22, 2020, 2:38 p.m.