normal_model: Analysis: Normal model

In AgronomiaR/seedreg: Regression Analysis for Seed Germination as a Function of Temperature

Description

Analysis: Normal model

Usage

normal_model(
  trat,
  resp,
  ylab = "Germination (%)",
  xlab = expression("Temperature ("^"o" * "C)"),
  theme = theme_classic(),
  error = "SE",
  legend.position = "top",
  cardinal = 0,
  r2 = "all",
  scale = "none"
)

Arguments

trat	Numerical or complex vector with treatments
resp	Numerical vector containing the response of the experiment.
ylab	Variable response name (Accepts the expression() function)
xlab	treatments name (Accepts the expression() function)
theme	ggplot2 theme (default is theme_classic())
error	Error bar (It can be SE - default, SD or FALSE)
legend.position	legend position (default is c(0.3,0.8))
cardinal	defines the value of y considered extreme (default considers 0 germination)
r2	coefficient of determination of the mean or all values (default is all)
scale	Sets x scale (default is none, can be "log")

Details

The model function for the normal model is:

f(x) = a ε^{-\frac{(x-b)^2)}{c^2}}

Value

The function returns the coefficients and respective p-values; statistical parameters such as AIC, BIC, pseudo-R2; cardinal and optimal temperatures and the graph using ggplot2 with the equation.

Note

if the maximum predicted value is equal to the maximum x, the curve does not have a maximum point within the studied range. If the minimum value is less than the lowest point studied, disregard the value.

Author(s)

Gabriel Danilo Shimizu

Leandro Simoes Azeredo Goncalves

Examples

library(seedreg)
data("aristolochia")
attach(aristolochia)
normal_model(trat,resp)

AgronomiaR/seedreg documentation built on May 19, 2021, 12:12 p.m.