#' Load a Matrix
#'
#' This function loads a file as a matrix. It assumes that the first column
#' contains the rownames and the subsequent columns are the sample identifiers.
#' Any rows with duplicated row names will be dropped with the first one being
#' kepted.
#'
#' @param infile Path to the input file
#' @return A matrix of the infile
#' @export
myModelClass<-function(x){
sum=sum(x)
Series=c(x,x)
var=var(x)
mean=mean(x)
allProbs=list(sum,var,mean)
#output<-list()
#output[["Series"]]<-Series
#output[["Sum"]]<-sum
#output[["Mean"]]<-mean
#output[["Variance"]]<-var
#Output[["All Probabilities"]]<-allProbs
output<-list(Series=Series,sum=sum, mean=mean, variance=var, allProbs)
class(output)<-c(class(output))
return(output)
}
#' Load a Matrix
#'
#' This function loads a file as a matrix. It assumes that the first column
#' contains the rownames and the subsequent columns are the sample identifiers.
#' Any rows with duplicated row names will be dropped with the first one being
#' kepted.
#'
#' @param infile Path to the input file
#' @return A matrix of the infile
#' @export
load_mat <- function(infile){
in.dt <- data.table::fread(infile, header = TRUE)
in.dt <- in.dt[!duplicated(in.dt[, 1]), ]
in.mat <- as.matrix(in.dt[, -1, with = FALSE])
rownames(in.mat) <- unlist(in.dt[, 1, with = FALSE])
in.mat
}
#' Load a Matrix
#'
#' This function loads a file as a matrix. It assumes that the first column
#' contains the rownames and the subsequent columns are the sample identifiers.
#' Any rows with duplicated row names will be dropped with the first one being
#' kepted.
#'
#' @param infile Path to the input file
#' @return A matrix of the infile
#' @export
load_mat2 <- function(infile){
...
}
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