| regression {AgroReg} | R Documentation |
This function is a simplification of all the analysis functions present in the package.
regression(
trat,
resp,
model = "LM1",
ylab = "Dependent",
xlab = "Independent",
theme = theme_classic(),
legend.position = "top",
point = "all",
textsize = 12,
pointsize = 4.5,
linesize = 0.8,
pointshape = 21,
round = NA,
fontfamily = "sans",
error = "SE",
width.bar = NA,
xname.formula = "x",
yname.formula = "y"
)
trat |
Numeric vector with dependent variable. |
resp |
Numeric vector with independent variable. |
model |
model regression (default is LM1) |
ylab |
Variable response name (Accepts the expression() function) |
xlab |
treatments name (Accepts the expression() function) |
theme |
ggplot2 theme (default is theme_classic()) |
legend.position |
legend position (default is c(0.3,0.8)) |
point |
defines whether you want to plot all points ("all") or only the mean ("mean") |
textsize |
Font size |
pointsize |
shape size |
linesize |
line size |
pointshape |
format point (default is 21) |
round |
round equation |
fontfamily |
Font family |
error |
Error bar (It can be SE - default, SD or FALSE) |
width.bar |
Bar width |
xname.formula |
Name of x in the equation |
yname.formula |
Name of y in the equation |
To change the regression model, change the "model" argument to:
N: Graph for not significant trend.
loess0: Loess non-parametric degree 0
loess1: Loess non-parametric degree 1
loess2: Loess non-parametric degree 2
LM0.5: Quadratic inverse
LM1: Linear regression.
LM2: Quadratic
LM3: Cubic
LM4: Quartic
LM0.5_i: Quadratic inverse without intercept.
LM1_i: Linear without intercept.
LM2_i: Quadratic regression without intercept.
LM3_i: Cubic without intercept.
LM4_i: Quartic without intercept.
LM13: Cubic without beta2
LM13i: Cubic inverse without beta2
LM23: Cubic without beta1
LM23i: Cubic inverse without beta2
LM2i3: Cubic without beta1, with inverse beta3
valcam: Valcam
L3: Three-parameter logistics.
L4: Four-parameter logistics.
L5: Five-parameter logistics.
LL3: Three-parameter log-logistics.
LL4: Four-parameter log-logistics.
LL5: Five-parameter log-logistics.
BC4: Brain-Cousens with four parameter.
BC5: Brain-Cousens with five parameter.
CD4: Cedergreen-Ritz-Streibig with four parameter.
CD5: Cedergreen-Ritz-Streibig with five parameter.
weibull3: Weibull with three parameter.
weibull4: Weibull with four parameter.
GP2: Gompertz with two parameter.
GP3: Gompertz with three parameter.
GP4: Gompertz with four parameter.
VB: Von Bertalanffy
lo3: Lorentz with three parameter
lo4: Lorentz with four parameter
beta: Beta
gaussian3: Analogous to the Gaussian model/Bragg with three parameters.
gaussian4: Analogous to the Gaussian model/Bragg with four parameters.
linear.linear: Linear-linear
linear.plateau: Linear-plateau
quadratic.plateau: Quadratic-plateau
plateau.linear: Plateau-linear
plateau.quadratic: Plateau-Quadratic
log: Logarithmic
log2: Logarithmic quadratic
thompson: Thompson
asymptotic: Exponential
asymptotic_neg: Exponential negative
asymptotic_i: Exponential without intercept.
asymptotic_ineg: Exponential negative without intercept.
biexponential: Biexponential
mitscherlich: Mitscherlich
yieldloss: Yield-loss
hill: Hill
MM2: Michaelis-Menten with two parameter.
MM3: Michaelis-Menten with three parameter.
SH: Steinhart-Hart
page: Page
newton: Newton
potential: Potential
midilli: Midilli
midillim: Modified Midilli
AM: Avhad and Marchetti
peleg: Peleg
VG: Vega-Galvez
The function returns a list containing the coefficients and their respective values of p; statistical parameters such as AIC, BIC, pseudo-R2, RMSE (root mean square error); largest and smallest estimated value and the graph using ggplot2 with the equation automatically.
library(AgroReg)
data("aristolochia")
attach(aristolochia)
regression(trat, resp)