input_classic: Classic R approaches to data analysis
In ziqiangc/Elbo: My first R package
Description
Usage
Arguments
Details
Value
Description
The function here illustrate how a 'old-school' R user might approach
data management and analysis.
Usage
1
input_classic(pdata_file, exprs_file)
Arguments
pdata_file
character(1) The path to the phenotype data file.
exprs_file
character(1) The path to the expression data file.
Details
There are two files. They are from a microarray experiment.
The first file, ALL-phenotypeData.csv describes the 128 samples.
The second file, ALL–expressionData.csv are the normalized expression
values for 12k probesets across 128 samples. The files originally
came from sheets in Excel, and were exported from Excel using
export-to-csv.
Value
A data.frame() containing samples as rows and phenotype data
and expression data as columns.
ziqiangc/Elbo documentation built on May 4, 2019, 11:23 p.m.
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Description Usage Arguments Details Value
Description
The function here illustrate how a 'old-school' R user might approach data management and analysis.
Usage
1 | input_classic(pdata_file, exprs_file)
|
Arguments
pdata_file |
character(1) The path to the phenotype data file. |
exprs_file |
character(1) The path to the expression data file. |
Details
There are two files. They are from a microarray experiment. The first file, ALL-phenotypeData.csv describes the 128 samples. The second file, ALL–expressionData.csv are the normalized expression values for 12k probesets across 128 samples. The files originally came from sheets in Excel, and were exported from Excel using export-to-csv.
Value
A data.frame() containing samples as rows and phenotype data and expression data as columns.
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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