polynomial2: Analysis: Linear regression graph in double factorial

In AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Analysis: Linear regression graph in double factorial

Description

Linear regression analysis for significant interaction of an experiment with two factors, one quantitative and one qualitative

Usage

polynomial2(
  fator1,
  resp,
  fator2,
  color = NA,
  grau = NA,
  ylab = "Response",
  xlab = "Independent",
  theme = theme_classic(),
  se = FALSE,
  point = "mean_sd",
  legend.title = "Treatments",
  posi = "top",
  textsize = 12,
  ylim = NA,
  family = "sans",
  width.bar = NA,
  pointsize = 3,
  linesize = 0.8,
  separate = c("(\"", "\")"),
  n = NA,
  DFres = NA,
  SSq = NA
)

Arguments

fator1	Numeric or complex vector with factor 1 levels
resp	Numerical vector containing the response of the experiment.
fator2	Numeric or complex vector with factor 2 levels
color	Graph color (default is NA)
grau	Degree of the polynomial (1,2 or 3)
ylab	Dependent variable name (Accepts the expression() function)
xlab	Independent variable name (Accepts the expression() function)
theme	ggplot2 theme (default is theme_classic())
se	Adds confidence interval (default is FALSE)
point	Defines whether to plot all points ("all"), mean ("mean"), mean with standard deviation (default - "mean_sd") or mean with standard error ("mean_se").
legend.title	Title legend
posi	Legend position
textsize	Font size (default is 12)
ylim	y-axis scale
family	Font family (default is sans)
width.bar	width of the error bars of a regression graph.
pointsize	Point size (default is 4)
linesize	line size (Trendline and Error Bar)
separate	Separation between treatment and equation (default is c("(\"","\")"))
n	Number of decimal places for regression equations
DFres	Residue freedom degrees
SSq	Sum of squares of the residue

Value

Returns two or more linear, quadratic or cubic regression analyzes.

Author(s)

Gabriel Danilo Shimizu, [e-mail]

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

See Also

polynomial, polynomial2_color

Examples

dose=rep(c(0,0,0,2,2,2,4,4,4,6,6,6),3)
resp=c(8,7,5,23,24,25,30,34,36,80,90,80,
12,14,15,23,24,25,50,54,56,80,90,40,
12,14,15,3,4,5,50,54,56,80,90,40)
trat=rep(c("A","B","C"),e=12)
polynomial2(dose, resp, trat, grau=c(1,2,3))

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