calib_plot_all: Plot Multiple qPCR Calibration Plots

In alexd106/ednar: Various Functions for Targeted qPCR eDNA Analysis

Description

Create and plot multiple qPCR calibration plots.

Usage

calib_plot_all(calib_df, ...)

Arguments

calib_df	A tibble or data.frame containing calibration curve data.
...	Further arguments to be passed to the calib_plot function.

Details

The data object contains data for at least one qPCR calibration curve usually presented as Cq (Ct) value and corresponding copy number from from a series of serial dilutions. The data.frame must contain the headers Target, Cq and SQ. The Target column must contain unique identifiers for each calibration curve. The Cq column contains the Cq (Ct) values and SQ contains the copy number data. Additional columns will be ignored.

Non-detections in data should be represented as NA.

LOD and LOQ values must be supplied as a data.frame or tibble object.

Value

A list of ggplot2 objects.

Examples

## Not run: 
require(tibble)

# basic plots
calib_plot_all(calib_data)

# lod and loq as tibble
lod_data <- tibble(Target = c("706", "10720201", "90720202" ),
              lod = c(1.5, 4, 10), loq = c(4.3, 10, 20))
calib_plot_all(calib_data, lod = lod_data)

# Robust model fit
calib_plot_all(calib_data, lod = lod_data, robust = TRUE)

## End(Not run)

alexd106/ednar documentation built on Sept. 1, 2021, 2:37 p.m.