polynomial: Analysis: Linear regression graph

In AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Analysis: Linear regression graph

Description

Linear regression analysis of an experiment with a quantitative factor or isolated effect of a quantitative factor

Usage

polynomial(
  trat,
  resp,
  ylab = "Response",
  xlab = "Independent",
  yname.poly = "y",
  xname.poly = "x",
  grau = NA,
  theme = theme_classic(),
  point = "mean_sd",
  color = "gray80",
  posi = "top",
  textsize = 12,
  se = FALSE,
  ylim = NA,
  family = "sans",
  pointsize = 4.5,
  linesize = 0.8,
  width.bar = NA,
  n = NA,
  SSq = NA,
  DFres = NA
)

Arguments

trat	Numerical vector with treatments (Declare as numeric)
resp	Numerical vector containing the response of the experiment.
ylab	Dependent variable name (Accepts the expression() function)
xlab	Independent variable name (Accepts the expression() function)
yname.poly	Y name in equation
xname.poly	X name in equation
grau	Degree of the polynomial (1, 2 or 3)
theme	ggplot2 theme (default is theme_classic())
point	Defines whether to plot mean ("mean"), all repetitions ("all"),mean with standard deviation ("mean_sd") or mean with standard error (default - "mean_se").
color	Graph color (default is gray80)
posi	Legend position
textsize	Font size
se	Adds confidence interval (default is FALSE)
ylim	y-axis scale
family	Font family
pointsize	Point size
linesize	line size (Trendline and Error Bar)
width.bar	width of the error bars of a regression graph.
n	Number of decimal places for regression equations
SSq	Sum of squares of the residue
DFres	Residue freedom degrees

Value

Returns linear, quadratic or cubic regression analysis.

Author(s)

Gabriel Danilo Shimizu, [e-mail]

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

See Also

polynomial2, polynomial2_color

Examples

data("phao")
with(phao, polynomial(dose,comp, grau = 2))

AgroR documentation built on May 29, 2024, 4:18 a.m.