slope {EasyqpcR} | R Documentation

## Function to calculate the amplification efficiency

### Description

This function calculates the amplification efficiency from classical qPCR dilution experiment using the Cq values. The Cq values are plotted against the logarithmized concentration (or dilution) values, a linear regression line is fit and the efficiency calculated by E = 10^-1/slope.

### Usage

    slope(data, q, r, na.rm = FALSE)

### Arguments

`data` | data.frame containing row datas (genes in columns, samples in rows, Cq values).
`q` | numeric, cDNA dilution values.
`r` | numeric, number of qPCR replicates.
`na.rm` | logical, indicating whether NA values should be stripped before the computation proceeds.

### Value

`Efficiency` | Primer amplification efficiency.
`Slope` | Slope of the dilution curve.
`Intercept` | Intercept of the dilution curve

### Author(s)

Sylvain Le pape <sylvain.le.pape@univ-poitiers.fr>

### See Also

You can also see the `qpcR` package with the `calib` and `calib2` functions.

### Examples

    data(Efficiency_calculation)

    slope(data = Efficiency_calculation, q=c(1000, 100 ,10, 1, 0.1), r=3, na.rm=TRUE)

[Package EasyqpcR version 1.28.0 Index]