Description
Fundamental Formulas for Plant Physiology.
Description
Functions tailored for scientific and student communities involved in plant science research. Functionalities encompass estimation chlorophyll content according to Arnon (1949) <doi:10.1104/pp.24.1.1>, determination water potential of Polyethylene glycol(PEG)6000 as in Michel and Kaufmann (1973) <doi:10.1104/pp.51.5.914> and functions related to estimation of yield related indices like Abiotic tolerance index as given by Moosavi et al.(2008)<doi:10.22059/JDESERT.2008.27115>, Geometric mean productivity (GMP) by Fernandez (1992) <ISBN:92-9058-081-X>, Golden Mean by Moradi et al.(2012)<doi:10.14207/ejsd.2012.v1n3p543>, HAM by Schneider et al.(1997)<doi:10.2135/cropsci1997.0011183X003700010007x>,MPI and TOL by Hossain etal., (1990)<doi:10.2135/cropsci1990.0011183X003000030030x>, RDI by Fischer et al. (1979)<doi:10.1071/AR9791001>,SSI by Fisher et al.(1978)<doi:10.1071/AR9780897>, STI by Fernandez (1993)<doi:10.22001/wvc.72511>,YSI by Bouslama & Schapaugh (1984)<doi:10.2135/cropsci1984.0011183X002400050026x>, Yield index by Gavuzzi et al.(1997)<doi:10.4141/P96-130>.
README.md
plantphysioR 
The goal of plantphysioR is to provide basic functions related to plant physiology, it contains functions related to various yield related indices, pigment content calculations and PEG6000 calculations
Installation
You can install the development version of plantphysioR from GitHub with:
# install.packages("devtools")
devtools::install_github("rameshram96/plantphysioR")
Example
library(plantphysioR)
#all_indices
Ms<-mean(yield_data$Ys)
Ms<-mean(yield_data$Ys)
Yp<-yield_data$Yp
Ys<-yield_data$Ys
all_indices(Yp,Ys,Mp,Ms)
#This function calculates all the yield related indices inclued in the package
# calculation of Stress susceptibility index
ss_index(500, 350, 450, 370)
