KRAScounts {twoddpcr} | R Documentation

## KRAS mutant and wild type droplet counts and Poisson estimates.

### Description

A data frame of droplet counts using the standard `Cluster` classification from `KRASdata`. Each row corresponds to a well/sample and the columns `PP`, `PN`, `NP` and `NN` show how many droplets were in each cluster. The remaining rows were calculated from the counts figures except for the `InputAmount` column.

`KRAScountsWellCol` is the same data frame but has a `Well` column instead of named rows.

`KRAScountsQS` is a data frame imported from a CSV created by Bio-Rad's QuantaSoft.

### Usage

    data(KRAScounts)

    data(KRAScountsWellCol)

    data(KRAScountsQS)

### Format

A data frame where each row corresponds to a well/sample.

An object of class `data.frame` with 12 rows and 18 columns.

An object of class `data.frame` with 24 rows and 63 columns.

### Details

The data frame was created by:

    krasPlate <- ddpcrPlate(wells=KRASdata)
    KRAScounts <- plateSummary(krasPlate, cMethod="Cluster")
    onesVector <- c(1, 1, 1)
    runAmount <- c(64 * onesVector, 16 * onesVector, 4 * onesVector, onesVector)
    KRAScounts$InputAmount <- runAmount

    KRAScountsWellCol <- KRAScounts
    KRAScountsWellCol$Well <- rownames(KRAScounts)
    KRAScountsWellCol <- KRAScountsWellCol[, c(18,1:17)]
    rownames(KRAScountsWellCol) <- NULL

### Value

A data frame.

### Author(s)

From the `KRASdata` dataset created by Mahmood Ayub, mahmood.ayub@cruk.manchester.ac.uk

[Package twoddpcr version 1.18.0 Index]