Displaying 3 results from an estimated 3 matches for "actclass".
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accclass
2006 Apr 27
0
pamr package: pamr.adaptthresh() error rates
...<- read.table("data/Colon.data",header = FALSE,sep = ",")
cancdat <- n2[,n2[1,]== 'tumor']
normdat <- n2[,n2[1,]== 'normal']
cancdat <- cancdat[-1,]
normdat <- normdat[-1,]
mat <- as.matrix(cbind(cancdat,normdat))
actclass <- rep(c(1, 2), c(ncol(cancdat), ncol(normdat)))
return(list(mat,actclass))
}
m <- makeColon()
mat <- m[[1]]
actclass <- m[[2]]
mat <- matrix(as.numeric(mat),nrow(mat),ncol(mat))
geneid = as.character(1:nrow(mat))
gs = as.character(1:nrow(mat))
mydata <- lis...
2006 Apr 27
0
package pamr: pamr.adaptthresh() error rates
...read.table("data/Colon.data",header = FALSE,sep = ",") cancdat <- n2[,n2[1,]== 'tumor'] normdat <- n2[,n2[1,]== 'normal'] cancdat <- cancdat[-1,] normdat <- normdat[-1,] mat <- as.matrix(cbind(cancdat,normdat)) actclass <- rep(c(1, 2), c(ncol(cancdat), ncol(normdat))) return(list(mat,actclass)) }
m <- makeColon() mat <- m[[1]] actclass <- m[[2]] mat <- matrix(as.numeric(mat),nrow(mat),ncol(mat)) geneid = as.character(1:nrow(mat)) gs = as.character(1:nrow(mat)) mydata <...
2006 Apr 27
0
package pamr: pamr.adapthresh() ---- Take 2!
...<- read.table("data/Colon.data",header = FALSE,sep = ",")
cancdat <- n2[,n2[1,]== 'tumor']
normdat <- n2[,n2[1,]== 'normal']
cancdat <- cancdat[-1,]
normdat <- normdat[-1,]
mat <- as.matrix(cbind(cancdat,normdat))
actclass <- rep(c(1, 2), c(ncol(cancdat), ncol(normdat)))
return(list(mat,actclass))
}
m <- makeColon()
mat <- m[[1]]
actclass <- m[[2]]
mat <- matrix(as.numeric(mat),nrow(mat),ncol(mat))
geneid = as.character(1:nrow(mat))
gs = as.character(1:nrow(mat))
mydata <- lis...