loessreg: Analysis: loess regression (degree 0, 1 or 2)

In AgroReg: Regression Analysis Linear and Nonlinear for Agriculture

Analysis: loess regression (degree 0, 1 or 2)

Description

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

Usage

loessreg(
  trat,
  resp,
  degree = 2,
  sample.curve = 1000,
  ylab = "Dependent",
  xlab = "Independent",
  theme = theme_classic(),
  legend.position = "top",
  error = "SE",
  point = "all",
  width.bar = NA,
  scale = "none",
  textsize = 12,
  pointsize = 4.5,
  linesize = 0.8,
  linetype = 1,
  pointshape = 21,
  fillshape = "gray",
  colorline = "black",
  fontfamily = "sans"
)

Arguments

trat	Numeric vector with dependent variable.
resp	Numeric vector with independent variable.
degree	Degree polynomial (0,1 or 2)
sample.curve	Provide the number of observations to simulate curvature (default is 1000)
ylab	Variable response name (Accepts the expression() function)
xlab	treatments name (Accepts the expression() function)
theme	ggplot2 theme (default is theme_bw())
legend.position	legend position (default is c(0.3,0.8))
error	Error bar (It can be SE - default, SD or FALSE)
point	defines whether you want to plot all points ("all") or only the mean ("mean")
width.bar	Bar width
scale	Sets x scale (default is none, can be "log")
textsize	Font size
pointsize	shape size
linesize	line size
linetype	line type
pointshape	format point (default is 21)
fillshape	Fill shape
colorline	Color lines
fontfamily	Font family

Value

The function returns a list containing the loess regression and graph using ggplot2.

Author(s)

Gabriel Danilo Shimizu

Leandro Simoes Azeredo Goncalves

See Also

loess

Examples

library(AgroReg)
data("aristolochia")
attach(aristolochia)
loessreg(trat,resp)

AgroReg documentation built on May 29, 2024, 9:13 a.m.