polynomial2 function

Analysis: Linear regression graph in double factorial

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

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

Returns

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

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))

See Also

polynomial , polynomial2_color

Author(s)

Gabriel Danilo Shimizu, shimizu@uel.br

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi