polynomial2 {AgroR}R Documentation

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
)

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

Value

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

Author(s)

Gabriel Danilo Shimizu, shimizu@uel.br

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))

[Package AgroR version 1.2.2 Index]