brkdn.plot: A point/line plotting routine
In plotrix/plotrix: Various Plotting Functions
brkdn.plot R Documentation
A point/line plotting routine
Description
Display a point/line plot of breakdowns of one or more variables.
Usage
brkdn.plot(vars,groups=NULL,obs=NULL,data,mct="mean",md="std.error",
stagger=NULL,dispbar=TRUE,main="Breakdown plot",xlab=NULL,ylab=NULL,xaxlab=NA,
ylim=NA,type="b",pch=1,lty=1,col=par("fg"),staxx=FALSE,yat=NULL,...)
Arguments
vars
The names or indices of one or more columns in a data frame.
The columns must contain numeric data. If only one variable is to be
broken down, vars can be a formula.
groups
The name or index of a column in a data frame that classifies
the values in ‘vars’ into different, usually fixed effect, levels.
obs
The name or index of a column in a data frame that classifies
the values in ‘vars’ into different, usually random effect, levels.
data
The data frame.
mct
The measure of central tendency to calculate for each group.
md
The measure of dispersion to calculate, NA for none.
stagger
The amount to offset the successive values at each horizontal
position as a proportion of the width of the plot. The calculated default
is usually adequate. Pass zero for none.
dispbar
Whether to display the measures of dispersion as bars.
main
The title at the top of the plot.
xlab,ylab
The labels for the X and Y axes respectively. There are
defaults, but they are basic.
xaxlab
Optional labels for the horizontal axis ticks.
ylim
Optional vertical limits for the plot.
type
Whether to plot symbols, lines or both (as in ‘plot’).
pch
Symbol(s) to plot.
lty
Line type(s) to plot.
col
Color(s) for the symbols and lines.
staxx
Whether to call staxlab to display the X axis
labels.
yat
Optional y axis tick positions.
...
additional arguments passed to ‘plot’.
Details
‘brkdn.plot’ displays a plot useful for visualizing the breakdown of a
response measure by two factors, or more than one response measure by either
a factor representing something like levels of treatment (‘groups’) or
something like repeated observations (‘obs’). For example, if
observations are made at different times on data objects that receive
different treatments, the ‘groups’ factor will display the measures
of central tendency as points/lines with the same color, symbol and line type,
while the ‘obs’ factor will be represented as horizontal positions on the
plot. If ‘obs’ is numeric, its unique values will be used as the
positions, if not, 1 to the number of unique values. This is a common way of
representing changes over time intervals for experimental groups.
If only one numeric variable is to be broken down, ‘vars’ may be a
formula like ‘var~groups+obs’. The position of the two factors to break
down the variable is fixed - the second term will be interpreted as "groups"
and the third, if present, will be interpreted as "obs".
Value
A list of two matrices of dimension ‘length(levels(groups))’ by
‘length(levels(obs))’. The first contains the measures of central
tendency calculated and its name is the name of the function passed as
‘mct’. The second contains the measures of dispersion and its name
is the name of the function passed as ‘md’.
If both ‘groups’ and ‘obs’ are not NULL, the rows of each matrix
will be the ‘groups’ and the columns the ‘obs’. If ‘obs’
is NULL, the rows will be the ‘groups’ and the columns the ‘vars’.
If ‘groups’ is NULL, the rows will be the ‘vars’ and the columns
the ‘obs’. That is, if ‘vars’ has more than one element, if
‘obs’ is NULL, the elements of ‘vars’ will be considered to
represent observations, while if ‘groups’ is NULL, they will be
considered to represent groups. At least one of ‘groups’ and ‘obs’
must be not NULL or there is no point in using ‘brkdn.plot’.
Author(s)
Jim Lemon
See Also
dispersion
Examples
test.df<-data.frame(a=rnorm(80)+4,b=rnorm(80)+4,c=rep(LETTERS[1:4],each=20),
d=rep(rep(letters[1:4],each=4),5))
# first use the default values
brkdn.plot("a","c","d",test.df,pch=1:4,col=1:4)
# now jazz it up a bit using medians and median absolute deviations
# and some enhancements
bp<-brkdn.plot(a~c+d,data=test.df,main="Test of the breakdown plot",
mct="median",md="mad",xlab="Temperature range", ylab="Cognition",
xaxlab=c("10-15","16-20","21-25","25-30"),pch=1:4,lty=1:4,col=1:4)
es<-emptyspace(bp)
legend(es,legend=c("Sydney","Gosford","Karuah","Brisbane"),pch=1:4,
col=1:4,lty=1:4,xjust=0.5,yjust=0.5)
plotrix/plotrix documentation built on Feb. 19, 2024, 8:16 a.m.
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| brkdn.plot | R Documentation |
A point/line plotting routine
Description
Display a point/line plot of breakdowns of one or more variables.
Usage
brkdn.plot(vars,groups=NULL,obs=NULL,data,mct="mean",md="std.error",
stagger=NULL,dispbar=TRUE,main="Breakdown plot",xlab=NULL,ylab=NULL,xaxlab=NA,
ylim=NA,type="b",pch=1,lty=1,col=par("fg"),staxx=FALSE,yat=NULL,...)
Arguments
vars |
The names or indices of one or more columns in a data frame. The columns must contain numeric data. If only one variable is to be broken down, vars can be a formula. |
groups |
The name or index of a column in a data frame that classifies the values in ‘vars’ into different, usually fixed effect, levels. |
obs |
The name or index of a column in a data frame that classifies the values in ‘vars’ into different, usually random effect, levels. |
data |
The data frame. |
mct |
The measure of central tendency to calculate for each group. |
md |
The measure of dispersion to calculate, NA for none. |
stagger |
The amount to offset the successive values at each horizontal position as a proportion of the width of the plot. The calculated default is usually adequate. Pass zero for none. |
dispbar |
Whether to display the measures of dispersion as bars. |
main |
The title at the top of the plot. |
xlab,ylab |
The labels for the X and Y axes respectively. There are defaults, but they are basic. |
xaxlab |
Optional labels for the horizontal axis ticks. |
ylim |
Optional vertical limits for the plot. |
type |
Whether to plot symbols, lines or both (as in ‘plot’). |
pch |
Symbol(s) to plot. |
lty |
Line type(s) to plot. |
col |
Color(s) for the symbols and lines. |
staxx |
Whether to call staxlab to display the X axis labels. |
yat |
Optional y axis tick positions. |
... |
additional arguments passed to ‘plot’. |
Details
‘brkdn.plot’ displays a plot useful for visualizing the breakdown of a response measure by two factors, or more than one response measure by either a factor representing something like levels of treatment (‘groups’) or something like repeated observations (‘obs’). For example, if observations are made at different times on data objects that receive different treatments, the ‘groups’ factor will display the measures of central tendency as points/lines with the same color, symbol and line type, while the ‘obs’ factor will be represented as horizontal positions on the plot. If ‘obs’ is numeric, its unique values will be used as the positions, if not, 1 to the number of unique values. This is a common way of representing changes over time intervals for experimental groups.
If only one numeric variable is to be broken down, ‘vars’ may be a formula like ‘var~groups+obs’. The position of the two factors to break down the variable is fixed - the second term will be interpreted as "groups" and the third, if present, will be interpreted as "obs".
Value
A list of two matrices of dimension ‘length(levels(groups))’ by ‘length(levels(obs))’. The first contains the measures of central tendency calculated and its name is the name of the function passed as ‘mct’. The second contains the measures of dispersion and its name is the name of the function passed as ‘md’.
If both ‘groups’ and ‘obs’ are not NULL, the rows of each matrix will be the ‘groups’ and the columns the ‘obs’. If ‘obs’ is NULL, the rows will be the ‘groups’ and the columns the ‘vars’. If ‘groups’ is NULL, the rows will be the ‘vars’ and the columns the ‘obs’. That is, if ‘vars’ has more than one element, if ‘obs’ is NULL, the elements of ‘vars’ will be considered to represent observations, while if ‘groups’ is NULL, they will be considered to represent groups. At least one of ‘groups’ and ‘obs’ must be not NULL or there is no point in using ‘brkdn.plot’.
Author(s)
Jim Lemon
See Also
dispersion
Examples
test.df<-data.frame(a=rnorm(80)+4,b=rnorm(80)+4,c=rep(LETTERS[1:4],each=20),
d=rep(rep(letters[1:4],each=4),5))
# first use the default values
brkdn.plot("a","c","d",test.df,pch=1:4,col=1:4)
# now jazz it up a bit using medians and median absolute deviations
# and some enhancements
bp<-brkdn.plot(a~c+d,data=test.df,main="Test of the breakdown plot",
mct="median",md="mad",xlab="Temperature range", ylab="Cognition",
xaxlab=c("10-15","16-20","21-25","25-30"),pch=1:4,lty=1:4,col=1:4)
es<-emptyspace(bp)
legend(es,legend=c("Sydney","Gosford","Karuah","Brisbane"),pch=1:4,
col=1:4,lty=1:4,xjust=0.5,yjust=0.5)
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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