Preprocessing: Preprocess the original data.
In benliemory/BinStrain: Statistical modeling for SNP based genotyping of mixed bacterial strains
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Convert the original data information into a design matrix. Deal with missing data.
Usage
1
Preprocessing(Counts_Sample, SNP_Pattern, N = nrow(SNP_Pattern))
Arguments
Counts_Sample
## Original Sample data
SNP_Pattern
## Original SNP pattern data
N
## row number of SNP pattern
Value
Return a list containing the information from original data with a better format
Author(s)
Sandeep J. Joseph and Ben Li
Examples
1
2
3
## First loading our example data or specify your own data
## Run the function
Sample2 = Preprocessing(Sample, SNP.Pattern)
benliemory/BinStrain documentation built on May 12, 2019, 12:14 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Convert the original data information into a design matrix. Deal with missing data.
Usage
1 | Preprocessing(Counts_Sample, SNP_Pattern, N = nrow(SNP_Pattern))
|
Arguments
Counts_Sample |
## Original Sample data |
SNP_Pattern |
## Original SNP pattern data |
N |
## row number of SNP pattern |
Value
Return a list containing the information from original data with a better format
Author(s)
Sandeep J. Joseph and Ben Li
Examples
1 2 3 | ## First loading our example data or specify your own data
## Run the function
Sample2 = Preprocessing(Sample, SNP.Pattern)
|
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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