Description Usage Arguments Value Author(s) Examples
View source: R/CreatTestData.R
This function creates test data point by use of uniform distribution and dispersion, and then transform by the rotation matrix along coordinate axes.
1 | CreateTestData(dims, N, disper, angles)
|
dims |
dimension of data points |
N |
Number of data points |
disper |
dispersion vector for each dimension |
angles |
angles vector for each dimension |
dims-by-N matrix with N data points and dims coordinates for each point (each column is one data point)
Zahra Rezaei
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | dims <- 100 # dimension of data points
N <- 5000 # Number of data points
# Define dispersion of data points
# disper is the vector with size dims.
# for each dimension we define different dispersion.
# we can either same amount of dispersion for each dimension.
disper1 <- rep(0.2,dims)
disper2 <- c(rep(0.2,30),rep(-0.2,40),rep(0.3,30))
# Define angles of data points
# angles is the vector of degrees with size dims
# angles vector creates transformation matrix
# definition of angles has same condition as dispersion.
angles1 <- rep(30,dims)
angles2 <- c(rep(30,30),rep(45,40),rep(-15,30))
data1 <- CreateTestData(dims, N, disper1, angles1)
data2 <- CreateTestData(dims, N, disper2, angles2)
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