CalCurve {qPCRtools}

Standard Curve Calculation.

Description

The function can calculate the standard curve. At the same time, it can get the amplification efficiency of primer(s). Based on the amplification efficiency, we can know which method can be used to calculate the expression level.

Arguments

cq.table

The data frame of the position and Cq value.

concen.table

The data frame of the position and concentration.

highest.concen

The highest concentration for calculation.

lowest.concen

The lowest concentration for calculation.

dilution

Dilution factor of cDNA template. The default value is 4.

by.mean

Calculation by mean Cq value or not. The default value is TRUE.

Value

A list.

Author(s)

Xiang LI <[e-mail]>

Examples

df.1.path <- system.file("examples", "calsc.cq.txt", package = "qPCRtools")
df.2.path <- system.file("examples", "calsc.info.txt", package = "qPCRtools")
df.1 <- read.table(df.1.path, header = TRUE)
df.2 <- read.table(df.2.path, header = TRUE)
CalCurve(
  cq.table = df.1,
  concen.table = df.2,
  lowest.concen = 4,
  highest.concen = 4096,
  dilu = 4,
  by = "mean"
) -> p

p[["table"]]
p[["figure"]]