require(lolR)## Loading required package: lolRrequire(ggplot2)## Loading required package: ggplot2require(MASS)## Loading required package: MASSn=400
d=30
r=3Data for this notebook will be n=400 examples of d=30 dimensions.
We first visualize the first 2 dimensions:
testdat <- lol.sims.cigar(n, d)
X <- testdat$X
Y <- testdat$Y
data <- data.frame(x1=X[,1], x2=X[,2], y=Y)
data$y <- factor(data$y)
ggplot(data, aes(x=x1, y=x2, color=y)) +
  geom_point() +
  xlab("x1") +
  ylab("x2") +
  ggtitle("Simulated Data")Projecting with MDP to K-1=1 dimension and visualizing:
result <- lol.project.dp(X, Y)
data <- data.frame(x1=result$Xr[,1], y=Y)
data$y <- factor(data$y)
ggplot(data, aes(x=x1, y=y, color=y)) +
  geom_point() +
  xlab("x1") +
  ylab("Class") +
  ggtitle("Projected Data using MDP")We visualize the first 2 dimensions:
testdat <- lol.sims.rtrunk(n, d)
X <- testdat$X
Y <- testdat$Y
data <- data.frame(x1=X[,1], x2=X[,2], y=Y)
data$y <- factor(data$y)
ggplot(data, aes(x=x1, y=x2, color=y)) +
  geom_point() +
  xlab("x1") +
  ylab("x2") +
  ggtitle("Simulated Data")Projecting with MDP to K-1=1 dimensions and visualizing:
result <- lol.project.dp(X, Y)
data <- data.frame(x1=result$Xr[,1], y=Y)
data$y <- factor(data$y)
ggplot(data, aes(x=x1, y=y, color=y)) +
  geom_point() +
  xlab("x1") +
  ylab("Class") +
  ggtitle("Projected Data using MDP")We visualize the first 2 dimensions:
testdat <- lol.sims.rtrunk(n, d, rotate=TRUE)
X <- testdat$X
Y <- testdat$Y
data <- data.frame(x1=X[,1], x2=X[,2], y=Y)
data$y <- factor(data$y)
ggplot(data, aes(x=x1, y=x2, color=y)) +
  geom_point() +
  xlab("x1") +
  ylab("x2") +
  ggtitle("Simulated Data")Projecting with MDP to K-1=1 dimensions and visualizing:
result <- lol.project.dp(X, Y)
data <- data.frame(x1=result$Xr[,1], y=Y)
data$y <- factor(data$y)
ggplot(data, aes(x=x1, y=y, color=y)) +
  geom_point() +
  xlab("x1") +
  ylab("Class") +
  ggtitle("Projected Data using MDP")