Analysis of Covariance Plots. Any of the ancova models y ~ x * t y ~ t * x y ~ x + t y ~ t + x y ~ x , groups=t y ~ t, x=x y ~ x * t, groups=b y ~ t * x, groups=b y ~ x + t, groups=b y ~ t + x, groups=b
formula specifying the aov model. The function modifies it for the
xyplot specification.
data
data.frame
groups
If the treatment factor is included in the formula, then groups is not
needed. By default groups will be set to the treatment factor, but the
user may specify another factor for groups, usually a blocking factor. The
pch will follow the value of groups. If the treatment
is not included in the formula, then groups is required.
x
Covariate. Required by ancovaplot.formula if the covariate is
not included in the formula.
For panel.ancova.superpose, see panel.superpose.
...
Other arguments to be passed to xyplot.
col, pch
Standard lattice arguments. pch follows the value of
groups. When col.by.groups is TRUE, then
col follow the value of groups.
When col.by.groups is FALSE, then
col follows the value of the treatment factor, and is constant in
each panel.
slope, intercept
Vector, the length of the number of treatment levels, containing slope
and intercept of the abline in each panel.
This is by default calculated based on the formula. The user may
override each independently.
layout, between
Standard lattice arguments.
col.line, lty
Standard lattice arguments. By default, they follow the value of the
treatment factor in the formula. col.line is recycled to
the number of panels in the plot.
y, subscripts
See panel.xyplot.
superpose.panel
logical. if TRUE (the default), there is an additional panel on
the right containing the superposition of the points and lines for all treatment levels.
col.by.groups
logical. See the discussion in argument col.
condition.factor, groups.cc.incompatible
These are both internal variables. condition.factor contains a
copy of the treatment factor. groups.cc.incompatible is a
logical which is set to TRUE when the groups argument is
explicitly set by the user.
logical, logical, logical or numeric, color name.
When plot.resids==TRUE then vertical line segments
connecting the data points and the fitted line are drawn.
The other two arguments are interpreted only when
plot.resids==TRUE.
When print.resids==TRUE then the values of the residuals are
printed on the console. When is.numeric(mean.x.line) then a vertical
reference line is drawn at the specified value, which will normally be
specified by the user as the mean of the full set of x values.
The reference line will have color specified by col.mean.x.line.
Details
ancova=aov specification
xyplot specification
abline
y ~ x * t
y ~ x | t, groups=t
lm(y[t] ~ x[t])
## separate lines
y ~ t * x
y ~ x | t, groups=t
lm(y[t] ~ x[t])
## separate lines
y ~ x + t
y ~ x | t, groups=t
lm(y ~ x + t)
## parallel lines
y ~ t + x
y ~ x | t, groups=t
lm(y ~ x + t)
## parallel lines
y ~ x , groups=t
y ~ x | t, groups=t
lm(y ~ x)
## single regression line
y ~ t, x=x
y ~ x | t, groups=t
mean(t)
## separate horizontal lines
y ~ x * t, groups=b
y ~ x | t, groups=b
lm(y[t] ~ x[t])
## sep lines, pch&col follow b
y ~ t * x, groups=b
y ~ x | t, groups=b
lm(y[t] ~ x[t])
## sep lines, pch&col follow b
y ~ x + t, groups=b
y ~ x | t, groups=b
lm(y ~ x + t)
## par lines, pch&col follow b
y ~ t + x, groups=b
y ~ x | t, groups=b
lm(y ~ x + t)
## par lines, pch&col follow b
Value
ancovaplot returns a c("ancova","trellis") object.
panel.ancova.superpose is an ordinary latticepanel function.
Author(s)
Richard M. Heiberger <rmh@temple.edu>
References
Heiberger, Richard M. and Holland, Burt (2004).
Statistical Analysis and Data Display: An Intermediate Course
with Examples in S-Plus, R, and SAS.
Springer Texts in Statistics. Springer.
ISBN 0-387-40270-5.
See Also
See the older ancova.
Examples
data(hotdog, package="HH")
ancovaplot(Sodium ~ Calories + Type, data=hotdog)
ancovaplot(Sodium ~ Calories * Type, data=hotdog)
ancovaplot(Sodium ~ Calories, groups=Type, data=hotdog)
ancovaplot(Sodium ~ Type, x=Calories, data=hotdog)
## Please see demo("ancova", package="HH") to coordinate placement
## of all four of these plots on the same page.
ancovaplot(Sodium ~ Calories + Type, data=hotdog, plot.resids=TRUE)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(HH)
Loading required package: lattice
Loading required package: grid
Loading required package: latticeExtra
Loading required package: RColorBrewer
Loading required package: multcomp
Loading required package: mvtnorm
Loading required package: survival
Loading required package: TH.data
Loading required package: MASS
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Loading required package: gridExtra
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/HH/ancovaplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ancovaplot
> ### Title: Analysis of Covariance Plots
> ### Aliases: ancovaplot ancovaplot.formula panel.ancova.superpose
> ### Keywords: hplot dplot models regression
>
> ### ** Examples
>
> data(hotdog, package="HH")
> ancovaplot(Sodium ~ Calories + Type, data=hotdog)
> ancovaplot(Sodium ~ Calories * Type, data=hotdog)
> ancovaplot(Sodium ~ Calories, groups=Type, data=hotdog)
> ancovaplot(Sodium ~ Type, x=Calories, data=hotdog)
>
> ## Please see demo("ancova", package="HH") to coordinate placement
> ## of all four of these plots on the same page.
>
> ancovaplot(Sodium ~ Calories + Type, data=hotdog, plot.resids=TRUE)
>
>
>
>
>
>
> dev.off()
null device
1
>