preprocess: This is the first function of BioApp which preprocess the...
In Cheng-Lab-GitHub/BioApp: The is a package ultilize machine learning and cox regression to evaluate the applicability of biomarkers.
Usage
1
preprocess(CPM_type, raw_data, class_index)
Arguments
CPM_type
options for classification or cox regression. Input either "cox" or "classification".
raw_data
input dataset include label and features
class_index
The column index of the label
Examples
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## Set output Rdata file.
output_path = "./output.rda"
## The function will relocate the label to the first column.
preprocess("classification", iris, c(5))
[1] "1 : Species"
[1] "2 : Sepal.Length"
[1] "3 : Sepal.Width"
[1] "4 : Petal.Length"
[1] "5 : Petal.Width"
Cheng-Lab-GitHub/BioApp documentation built on Oct. 30, 2019, 5:40 a.m.
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Usage
1 | preprocess(CPM_type, raw_data, class_index)
|
Arguments
CPM_type |
options for classification or cox regression. Input either "cox" or "classification". |
raw_data |
input dataset include label and features |
class_index |
The column index of the label |
Examples
1 2 3 4 5 6 7 8 9 | ## Set output Rdata file.
output_path = "./output.rda"
## The function will relocate the label to the first column.
preprocess("classification", iris, c(5))
[1] "1 : Species"
[1] "2 : Sepal.Length"
[1] "3 : Sepal.Width"
[1] "4 : Petal.Length"
[1] "5 : Petal.Width"
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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