polynomial {AgroR} R Documentation

## 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, shimizu@uel.br

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

data("phao")