shuffleInput: Randomize marker order and alleles within samples
In grafab/pergola: Toolbox for Polyploid Genetic Data
Description
Usage
Arguments
Value
Examples
Description
In simulated datasets, the order or markers and alleles within samples is often given.
To remove any prior knowledge, that would not be available, the data should be randomized.
Thus, the performance of our tool can be validated unbiased.
Usage
1
shuffleInput(input, ploidy = 4, ignore = 0)
Arguments
input
Matrix of genotypes. Rows represent markers.
Columns represent samples.
ploidy
Ploidy level of the organism. Default is 4.
ignore
In case of unnecessary fronstanding columns (e.g. parental genotypes or rownames), these can be excluded from the randomization.
Value
Matrix of the same size as the input matrix.
The markers are in a random order and the alleles within the samples are in a random order.
Examples
1
2
data(simTetra)
shuffleInput(simTetra, 4)
grafab/pergola documentation built on May 17, 2019, 8:18 a.m.
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Description Usage Arguments Value Examples
Description
In simulated datasets, the order or markers and alleles within samples is often given. To remove any prior knowledge, that would not be available, the data should be randomized. Thus, the performance of our tool can be validated unbiased.
Usage
1 | shuffleInput(input, ploidy = 4, ignore = 0)
|
Arguments
input |
Matrix of genotypes. Rows represent markers. Columns represent samples. |
ploidy |
Ploidy level of the organism. Default is 4. |
ignore |
In case of unnecessary fronstanding columns (e.g. parental genotypes or rownames), these can be excluded from the randomization. |
Value
Matrix of the same size as the input matrix. The markers are in a random order and the alleles within the samples are in a random order.
Examples
1 2 | data(simTetra)
shuffleInput(simTetra, 4)
|
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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