#' @title colSums #' @method colSums mass_dataset #' @param x x #' @param na.rm na.rm #' @param dims dims #' @export #' @rdname arithmetic-mass_dataset #' @return vector object
#' @title rowSums #' @method rowSums mass_dataset #' @param x x #' @param na.rm na.rm #' @param dims dims #' @export #' @rdname arithmetic-mass_dataset #' @return vector object
#' @title colMeans #' @method colMeans mass_dataset #' @param x x #' @param na.rm na.rm #' @param dims dims #' @export #' @rdname arithmetic-mass_dataset #' @return vector object
#' @title rowMeans #' @method rowMeans mass_dataset #' @param x x #' @param na.rm na.rm #' @param dims dims #' @export #' @rdname arithmetic-mass_dataset #' @return vector object
# S3 method for mass_dataset
log(x, base = exp(1))
# S3 method for mass_dataset
abs(x)
# S3 method for mass_dataset
sqrt(x)
# S3 method for mass_dataset
scale(x, center = TRUE, scale = TRUE)
# S4 method for mass_dataset,numeric
+(e1, e2)
# S4 method for mass_dataset,numeric
-(e1, e2)
# S4 method for mass_dataset,numeric
*(e1, e2)
# S4 method for mass_dataset,numeric
/(e1, e2)
# S4 method for mass_dataset,numeric
>(e1, e2)
# S4 method for mass_dataset,numeric
>=(e1, e2)
# S4 method for mass_dataset,numeric
<(e1, e2)
# S4 method for mass_dataset,numeric
<=(e1, e2)
# S4 method for mass_dataset,numeric
==(e1, e2)
# S4 method for mass_dataset
colSums(x, na.rm = FALSE, dims = 1)
# S4 method for mass_dataset
rowSums(x, na.rm = FALSE, dims = 1)
# S4 method for mass_dataset
colMeans(x, na.rm = FALSE, dims = 1)
# S4 method for mass_dataset
rowMeans(x, na.rm = FALSE, dims = 1)
x
base
center
scale
a mass_dataset class object
numeric
na.rm
dims
mass_dataset object
mass_dataset object
mass_dataset object
mass_dataset object
mass_dataset object
mass_dataset object
mass_dataset object
mass_dataset object
A logical data.frame
A logical data.frame
A logical data.frame
A logical data.frame
A logical data.frame
result
vector object
vector object
vector object
colSums.mass_dataset = function(x, na.rm = FALSE, dims = 1) colSums(x@expression_data, na.rm = na.rm, dims = dims)
rowSums.mass_dataset = function(x, na.rm = FALSE, dims = 1) rowSums(x@expression_data, na.rm = na.rm, dims = dims)
colMeans.mass_dataset = function(x, na.rm = FALSE, dims = 1) colMeans(x@expression_data, na.rm = na.rm, dims = dims)
rowMeans.mass_dataset = function(x, na.rm = FALSE, dims = 1) rowMeans(x@expression_data, na.rm = na.rm, dims = dims)