Description Usage Arguments Details Value See Also
A convenience function that builds an ExprsArray
object.
This function is no longer supported. Please use exprso
instead.
1 | arrayExprs(object, colBy, include, colID, begin, ...)
|
object |
What to import as an |
colBy |
A numeric or character index. The column that contains group annotations. |
include |
A list of character vectors. Specifies which annotations in |
colID |
A numeric or character index. The column used to name subjects.
For |
begin |
A numeric scalar. The j-th column at which feature data starts.
For |
... |
Additional arguments passed along to |
Importing a data.frame
object:
This function expects that the imported data.frame
has the following format:
rows indicate subject entries while columns indicate measured variables.
The first several columns should contain annotation information (e.g., age, sex, diagnosis).
The remaining columns should contain feature data (e.g., expression values).
The argument begin
defines the j-th column at which the feature
data starts. This function automatically removes any features with NA
values.
Take care to remove any factor
columns before importing.
Importing an ExpressionSet
object:
The package Biobase maintains a popular class object called ExpressionSet
that
often gets used to store expression data. This function converts this eSet
object into an ExprsArray
object. This function automatically removes any
features with NA
values.
Importing a file
:
arrayExprs
can also build an ExprsArray
object from a tab-delimited
data file, passing along the file
and ...
argument(s) to
read.delim
. All rules for data.frame
import also apply here.
By default, arrayExprs
forces stringsAsFactors = FASE
.
An ExprsArray
object.
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