Last updated: 2018-05-12

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    html a08b608 LSun 2017-06-04 low rank simulation
    rmd fad7789 LSun 2017-06-04 low rank

Introduction

This time the correlated \(z\) scores are simulated similar to the previous low rank example but with different numbers of \(k\).

n = 1e4
L = 100

\(k = 1\)

set.seed(777)
k = 1
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 2\)

set.seed(777)
k = 2
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 3\)

set.seed(777)
k = 3
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 4\)

set.seed(777)
k = 4
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 5\)

set.seed(777)
k = 5
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 6\)

set.seed(777)
k = 6
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 7\)

set.seed(777)
k = 7
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 8\)

set.seed(777)
k = 8
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 9\)

set.seed(777)
k = 9
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

\(k = 10\)

set.seed(777)
k = 10
for (j in 1 : 2) {
  z = z.sim(n, k)
  fit.gd(L, z)
}

Session information

sessionInfo()
R version 3.4.3 (2017-11-30)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.4

Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] workflowr_1.0.1   Rcpp_0.12.16      digest_0.6.15    
 [4] rprojroot_1.3-2   R.methodsS3_1.7.1 backports_1.1.2  
 [7] git2r_0.21.0      magrittr_1.5      evaluate_0.10.1  
[10] stringi_1.1.6     whisker_0.3-2     R.oo_1.21.0      
[13] R.utils_2.6.0     rmarkdown_1.9     tools_3.4.3      
[16] stringr_1.3.0     yaml_2.1.18       compiler_3.4.3   
[19] htmltools_0.3.6   knitr_1.20       



This reproducible R Markdown analysis was created with workflowr 1.0.1