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",
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,
decimal = ".",
width.bar = NA,
n = 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) `grau` Degree of the polynomial (1, 2 or 3) `theme` ggplot2 theme (default is theme_classic()) `point` Defines whether to plot mean ("mean"), 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) `decimal` Decimal separate `width.bar` width of the error bars of a regression graph. `n` Number of decimal places for regression equations

### 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")