Other packages > Find by keyword >

rtpcr  

qPCR Data Analysis
View on CRAN: Click here


Download and install rtpcr package within the R console
Install from CRAN:
install.packages("rtpcr")

Install from Github:
library("remotes")
install_github("cran/rtpcr")

Install by package version:
library("remotes")
install_version("rtpcr", "2.1.1")



Attach the package and use:
library("rtpcr")
Maintained by
Ghader Mirzaghaderi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-02
Latest Update: 2025-06-04
Description:
Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) , covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor) or analysis of variance (for cases where more than two levels or factors exist) to calculate the fold change or relative expression. The functions also provide standard deviations and confidence limits for means and apply statistical mean comparisons. To facilitate using 'rtpcr', different datasets have been employed in the examples and the outputs are explained. An outstanding feature of 'rtpcr' package is providing publication-ready bar plots with various controlling arguments for experiments with up to three different factors. The 'rtpcr' package is user-friendly and easy to work with and provides an applicable resource for analyzing real-time PCR data.
How to cite:
Ghader Mirzaghaderi (2024). rtpcr: qPCR Data Analysis. R package version 2.1.1, https://cran.r-project.org/web/packages/rtpcr. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0.0 (2024-04-02 15:32), 1.0.1 (2024-04-05 19:20), 1.0.2 (2024-04-10 15:20), 1.0.3 (2024-04-13 07:50), 1.0.4 (2024-04-20 13:02), 1.0.5 (2024-04-21 22:32), 1.0.6 (2024-04-29 15:10), 1.0.7 (2024-05-10 14:00), 1.0.8 (2024-05-16 11:50), 1.0.9 (2024-05-30 17:30), 2.0.0 (2024-07-07 12:30), 2.0.1 (2025-02-13 20:10), 2.0.2 (2025-03-25 19:30), 2.0.3 (2025-11-08 19:27), 2.0.4 (2025-12-04 16:10), 2.0.5 (2025-12-12 13:10), 2.1.0 (2025-12-19 11:20), 2.1.1 (2026-01-08 06:20), 2.1.2 (2026-01-23 10:20), 2.1.3 (2026-02-03 09:50), 2.1.4 (2026-02-12 09:00)
Other packages that cited rtpcr R package
View rtpcr citation profile
Other R packages that rtpcr depends, imports, suggests or enhances
Complete documentation for rtpcr
Functions, R codes and Examples using the rtpcr R package
Full rtpcr package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA