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library(VBTree)
library(ggplot2)
library(rgl)
library(TPMplt)
# Check the factors in column names of input data:
# Note: Temperature in layer2, Strain Rate in layer3.
vbt <- dl2vbt(chrvec2dl(colnames(TPMdata)))
vbt
# Export Strain Rate-Temperature table based on
# given strain condition (epsilon):
epstable <- epsExtract(TPMdata, 0.7, 2, 3)
# Build dynamic materials model (DMM) from Strain
# Rate-Temperature table:
DMM <- DMMprocess(epstable)
# Choose regression method for plots:
PLTbd <- SVRModel(DMM)
# 2D processing-map through selected regression
# method:
TPM2dplt(PLTbd)
# 3D processing-map through selected regression
# method:
TPM3dplt(PLTbd)
# test different input data for epsExtract()
data1 <- TPMdata
data2 <- data1 + 1
colnames(data1) <- paste0(colnames(TPMdata), "-", "A")
colnames(data2) <- paste0(colnames(TPMdata), "-", "B")
newdata <- cbind(data1, data2)
epsExtract(newdata, 0.72, 2, 3)
data1 <- TPMdata
data2 <- data1 + 1
colnames(data1) <- paste0("A", "-", colnames(TPMdata))
colnames(data2) <- paste0("B", "-", colnames(TPMdata))
newdata1 <- cbind(data1, data2)
epsExtract(newdata1, 0.72, 3, 4)
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