devtools::install_github("wenrurumon/mysrc/CNIF_0.3.0",force=T)
devtools::install_github("wenrurumon/mysrc/ctest",force=T)
devtools::install_github("wenrurumon/mysrc/fpca3d",force=T)
devtools::install_github("wenrurumon/mysrc/xmndata",force=T)
devtools::install_github("wenrurumon/mysrc/qfcca",force=T)
rm(list=ls())
library(qfcca)
library(GenABEL)
library(flare)
library(fda)
library(corpcor)
A <- iris[,1:4]
B <- cbind(as.numeric(iris[,5]))
cca(A,B)
A.qpca <- qpca(iris[,1:4],rank=which(qpca(A)$prop>=0.8)[1])$X
cca(A.qpca,B)
A.fpca <- fpca(A,1:4,7,0)
A.fpca <- lapply(A.fpca,function(x){
x$score[,which(x$prop>=0.8)[1],drop=F]
})
sapply(A.fpca,cca,B=B)devtools::install_github("wenrurumon/mysrc/cca",force=T)
devtools::install_github("wenrurumon/mysrc/lrm",force=T)
devtools::install_github("wenrurumon/mysrc/qnmf",force=T)
rm(list=ls())
library(e1071)
library(parallel)
library(preprocessCore)
library(qnmf)
library(NMF)
library(corpcor)
test <- function(nrow,ncol,k,sparse,error){
# r <- rmat(100,20,5,.5,1,T)
r <- rmat(nrow,ncol,k,sparse,error,T)
rlt.qnmf <- qnmf(r$A,K=5)
rlt.nmf <- nmf2(r$A,5)
rlt.qnmfx <- qnmf(r$A,X=r$X,deconv=T)
rlt.stf <- stf.deconv(r$A,x=r$X)
sapply(list(rlt.qnmf$A,rlt.nmf$A,rlt.qnmfx$A,rlt.stf$A),fita,A=r$raw)
# cbind(om=diag(cor(t(r$Y),t(rlt.qnmfx$Y))),stf=diag(cor(t(r$Y),t(rlt.stf$Y))))
}
simu <- lapply(1:1000,function(i){
test(100,20,5,.5,1)
})devtools::install_github("wenrurumon/mysrc/jointnet",force=T)
rm(list=ls())
library(jointnet)
library(corpcor)
library(abind)
raw <- jn_example()
jointnet(raw)devtools::install_github("wenrurumon/mysrc/pcca",force=T)
rm(list=ls())
library(pcca)
x1 <- lapply(1:10,function(x){matrix(rnorm(1000),100,10)}); names(x1) <- paste0('x',1:10)
x2 <- lapply(1:10,function(x){matrix(rnorm(1000),100,10)}); names(x2) <- paste0('y',1:10)
x.pcca <- pcca(x1,x2,prop=0.9)
x.rlt <- fc2(x.pcca,thred=0.1)
plotclust(x.rlt$network,x.rlt$cluster)