Procedure for generating Figure 3
Jie Zhou
9/21/2022
Last updated: 2022-11-02
Checks: 6 1
Knit directory: lglasso_data_analysis/
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| File | Version | Author | Date | Message |
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| Rmd | 534bd70 | Jie Zhou | 2022-10-21 | minor revisions |
| html | 534bd70 | Jie Zhou | 2022-10-21 | minor revisions |
| html | 32545ac | Jie Zhou | 2022-10-21 | updated code for all the figures and tables |
| Rmd | 520f495 | Jie Zhou | 2022-10-21 | updated code for all the figures and tables |
| html | 520f495 | Jie Zhou | 2022-10-21 | updated code for all the figures and tables |
Code for the case of censoring parameter zirate=(0.3,0.6)
uu1=0.3
uu2=0.6
Nsim=50
rho=vector("list",5)
rho[[1]]=seq(0.01,0.2,length=20)
rho[[2]]=seq(0.01,0.2,length=20)
rho[[3]]=seq(0.01,0.2,length=20)
rho[[4]]=seq(0.001,0.1,length=10)
rho[[5]]=seq(0.001,0.1,length=10)
set.seed(uu2*30+uu1*10+1)
simures=power_compare1(m=20,n=20,p=80,coe=c(2.3,0,0),l=Nsim,rho=rho,prob=0.01,heter=F,community2=F,zirate=c(uu1, uu2))Plot for homo model with censored data
load("./data/real/network1.Rd")
load("./data/real/estnetwork1.Rd")
load("./data/homocensored/uu1=0.1_uu2=0.6.Rd")
results01=simures
load("./data/homocensored/uu1=0.1_uu2=0.8.Rd")
results02=simures
load("./data/homocensored/uu1=0.3_uu2=0.6.Rd")
results03=simures
load("./data/homocensored/uu1=0.3_uu2=0.8.Rd")
results04=simures
par(mfrow=c(2,2),mar=c(4,4,2,2),oma=c(0,0,2,0))
FPR=results01[[1]][[1]][,2]
TPR=results01[[1]][[1]][,1]
plot(FPR,TPR,ylim = c(0.2,1),xlim=c(0,1),xlab = "FPR",ylab = "TPR",type="l")
lines(results01[[1]][[2]][,2],results01[[1]][[2]][,1],type="l",lty=2)
lines(results01[[1]][[3]][,2],results01[[1]][[3]][,1],type="l",lty=3)
legend(0,0.4,legend=c("c(0.1,0.6)"))
FPR=results02[[1]][[1]][,2]
TPR=results02[[1]][[1]][,1]
plot(FPR,TPR,ylim = c(0.2,1),xlim=c(0,1),xlab = "FPR",ylab = "TPR",type="l")
lines(results02[[1]][[2]][,2],results02[[1]][[2]][,1],type="l",lty=2)
lines(results02[[1]][[3]][,2],results02[[1]][[3]][,1],type="l",lty=3)
legend(0,0.4,legend=c("c(0.1,0.8)"))
FPR=results03[[1]][[1]][,2]
TPR=results03[[1]][[1]][,1]
plot(FPR,TPR,ylim = c(0.2,1),xlim=c(0,1),xlab = "FPR",ylab = "TPR",type="l")
lines(results03[[1]][[2]][,2],results03[[1]][[2]][,1],type="l",lty=2)
lines(results03[[1]][[3]][,2],results03[[1]][[3]][,1],type="l",lty=3)
legend(0,0.4,legend=c("c(0.3,0.6)"))
FPR=results04[[1]][[1]][,2]
TPR=results04[[1]][[1]][,1]
plot(FPR,TPR,ylim = c(0.2,1),xlim=c(0,1),xlab = "FPR",ylab = "TPR",type="l")
lines(results04[[1]][[2]][,2],results04[[1]][[2]][,1],type="l",lty=2)
lines(results04[[1]][[3]][,2],results04[[1]][[3]][,1],type="l",lty=3)
legend(0,0.4,legend=c("(0.3,0.8)"))
title("Comparison of LGLASSO, GLASSO and NH when data are censored", outer=TRUE, cex=1.5)
sessionInfo()R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19043)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] Matrix_1.3-4 GGMselect_0.1-12.5 mvtnorm_1.1-3 BDgraph_2.67
[5] lglasso_0.1.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 highr_0.9 pillar_1.8.0 compiler_4.1.2
[5] bslib_0.4.0 later_1.3.0 jquerylib_0.1.4 git2r_0.30.1
[9] workflowr_1.7.0 tools_4.1.2 digest_0.6.29 lattice_0.20-45
[13] jsonlite_1.8.0 evaluate_0.15 lifecycle_1.0.1 tibble_3.1.7
[17] pkgconfig_2.0.3 rlang_1.0.4 cli_3.3.0 rstudioapi_0.13
[21] yaml_2.3.5 xfun_0.31 fastmap_1.1.0 stringr_1.4.0
[25] knitr_1.39 gtools_3.9.3 fs_1.5.2 vctrs_0.4.1
[29] sass_0.4.2 grid_4.1.2 rprojroot_2.0.3 glue_1.6.2
[33] R6_2.5.1 fansi_1.0.3 rmarkdown_2.14 glasso_1.11
[37] magrittr_2.0.3 whisker_0.4 lars_1.3 promises_1.2.0.1
[41] ellipsis_0.3.2 htmltools_0.5.2 httpuv_1.6.5 utf8_1.2.2
[45] stringi_1.7.6 cachem_1.0.6