polynomial2_color: Analysis: Linear regression graph in double factorial with color graph

Description

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

Usage

polynomial2_color(
  fator1,
  resp,
  fator2,
  color = NA,
  grau = NA,
  ylab = "Response",
  xlab = "independent",
  theme = theme_classic(),
  se = FALSE,
  point = "mean_se",
  legend.title = "Treatments",
  posi = "top",
  textsize = 12,
  ylim = NA,
  family = "sans",
  width.bar = NA,
  pointsize = 5,
  linesize = 0.8,
  separate = c("(\"", "\")"),
  n = NA,
  DFres = NA,
  SSq = NA
)

Value

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

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 ("mean_sd") or mean with standard error (default - "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

Author

Gabriel Danilo Shimizu, shimizu@uel.br

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

Examples

Run this code

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_color(dose, resp, trat, grau=c(1,2,3))