Plot.Regr_English: Graphs of the linear regression results.

In MVar: Multivariate Analysis

Graphs of the linear regression results.

Description

Graphs of the linear regression results.

Usage

Plot.Regr(Reg, typegraf = "Scatterplot", title = NA, xlabel = NA, 
          ylabel = NA, namevary = NA, namevarx = NA, size = 1.1, 
          grid = TRUE, color = TRUE, intconf = TRUE, intprev = TRUE,
          savptc = FALSE, width = 3236, height = 2000, res = 300, 
          casc = TRUE)

Arguments

Reg	Regression function data.
typegraf	Type of graphic: "Scatterplot" - Scatterplot 2 to 2, "Regression" - Graph of the linear regression, "QQPlot" - Graph of the normal probability of the residues, "Histogram" - Histogram of the residues, "Fits" - Graph of the adjusted values versus residuals, "Order" - Graph of the order of the observations versus the residuals.
title	Titles of the graphics, if not set, assumes the default text.
xlabel	Names the X axis, if not set, assumes the default text.
ylabel	Names the Y axis, if not set, assumes the default text.
namevary	Variable name Y, if not set, assumes the default text.
namevarx	Name of the variable X, or variables X, if not set, assumes the default text.
size	Size of the points in the graphs.
grid	Put grid on graphs (default = TRUE).
color	Colored graphics (default = TRUE).
intconf	Case typegraf = "Regression". Graphics with confidence interval (default = TRUE).
intprev	Case typegraf = "Regression". Graphics with predictive interval (default = TRUE).
savptc	Saves graphics images to files (default = FALSE).
width	Graphics images width when savptc = TRUE (defaul = 3236).
height	Graphics images height when savptc = TRUE (default = 2000).
res	Nominal resolution in ppi of the graphics images when savptc = TRUE (default = 300).
casc	Cascade effect in the presentation of the graphics (default = TRUE).

Value

Returns several graphs.

Author(s)

Paulo Cesar Ossani

See Also

Regr

Examples

data(DataMix)

Y <- DataMix[,2]

X <- DataMix[,7]

name.y <- "Medium grade"

name.x <- "Commercial coffees"

res <- Regr(Y, X, namevarx = name.x , intercept = TRUE, sigf = 0.05)

tit <- c("Scatterplot")
Plot.Regr(res, typegraf = "Scatterplot", title = tit,
          namevary = name.y, namevarx = name.x, color = TRUE, 
          savptc = FALSE, width = 3236, height = 2000, res = 300)

tit <- c("Scatterplot with the adjusted line")
Plot.Regr(res, typegraf = "Regression", title = tit, 
          xlabel = name.x, ylabel = name.y, color = TRUE,
          intconf = TRUE, intprev = TRUE, savptc = FALSE, 
          width = 3236, height = 2000, res = 300)

dev.new() # necessary to not overlap the following graphs to the previous graph

par(mfrow = c(2,2)) 

Plot.Regr(res, typegraf = "QQPlot", casc = FALSE)
Plot.Regr(res, typegraf = "Histogram", casc = FALSE)
Plot.Regr(res, typegraf = "Fits", casc = FALSE)
Plot.Regr(res, typegraf = "Order", casc = FALSE)

MVar documentation built on Aug. 19, 2023, 5:12 p.m.