positiveCounts: Get a vector of droplet positive and negative counts.
In twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Take a vector of classes and return a vector of positive and negative
counts that is compatible with ddPCR analysis.
Usage
1
positiveCounts(cl)
Arguments
cl
A vector of classes that correspond to droplet amplitude data. The
vector should only contain the values "PP", "PN", "NP" or "NN".
Value
A vector corresponding to "PP", "PN", "NP" and "NN".
Author(s)
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk
Examples
1
2
3
4
5
6
## Take a data frame and make it into the right format.
aWell <- KRASdata[["E03"]]
aWell$Cluster <- relabelClasses(aWell, classCol="Cluster")
## Count the number of droplets in each cluster.
positiveCounts(aWell$Cluster)
twoddpcr documentation built on Nov. 8, 2020, 5:49 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Take a vector of classes and return a vector of positive and negative counts that is compatible with ddPCR analysis.
Usage
1 | positiveCounts(cl)
|
Arguments
cl |
A vector of classes that correspond to droplet amplitude data. The vector should only contain the values "PP", "PN", "NP" or "NN". |
Value
A vector corresponding to "PP", "PN", "NP" and "NN".
Author(s)
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk
Examples
1 2 3 4 5 6 | ## Take a data frame and make it into the right format.
aWell <- KRASdata[["E03"]]
aWell$Cluster <- relabelClasses(aWell, classCol="Cluster")
## Count the number of droplets in each cluster.
positiveCounts(aWell$Cluster)
|
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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