Sparse plot
Create sparse plot to see the sparsity of the data.
SparsePlot(Lt, interval, ...)
Lt |
A |
interval |
A |
... |
Other arguments passed into |
For the sparse plot, x-axis is the observation time while y-axis represents various subjects.
Create the corresponding sparse plot.
# Generate data
n <- 100
interval <- c(0, 10)
lambda_1 <- 9 #the first eigenvalue
lambda_2 <- 1.5 #the second eigenvalue
eigfun <- list()
eigfun[[1]] <- function(x){cos(pi * x/10)/sqrt(5)}
eigfun[[2]] <- function(x){sin(pi * x/10)/sqrt(5)}
score <- cbind(rnorm(n, 0, sqrt(lambda_1)), rnorm(n, 0, sqrt(lambda_2)))
# DataNew1 and DataNew2 have different sparsity
DataNew1 <- GenDataKL(n, interval = interval, sparse = 6:8,
meanfun = function(x){0}, score = score,
eigfun = eigfun, sd = sqrt(0.1))
DataNew2 <- GenDataKL(n, interval = interval, sparse = 2:4,
meanfun = function(x){0}, score = score,
eigfun = eigfun, sd = sqrt(0.1))
# Create sparse plots
par(mfrow = c(1, 2))
SparsePlot(DataNew1$Lt, interval = interval)
SparsePlot(DataNew2$Lt, interval = interval)
par(mfrow = c(1, 1))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.