loess_model: Analysis: loess regression

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

Description

Fit a polynomial surface determined by one or more numerical predictors, using local fitting.

Usage

loess_model(
  trat,
  resp,
  ylab = "Germination (%)",
  xlab = expression("Temperature ("^"o" * "C)"),
  theme = theme_classic(),
  error = "SE",
  cardinal = 0,
  legend.position = "top",
  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_bw())
error	Error bar (It can be SE - default, SD or FALSE)
cardinal	defines the value of y considered extreme (default considers 0 germination)
legend.position	legend position (default is c(0.3,0.8))
scale	Sets x scale (default is none, can be "log")

Value

The function returns the loess regression; optimal and cardinal temperatures and graph using ggplot2.

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

See Also

loess

Examples

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

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