An extension of barplot2. Creates bar- and line-plots mimicking the style of OpenOffice plots. This utility can plot the values next to each point or bar as well as confidence intervals.

```
ooplot(data, ...)
# S3 method for default
ooplot(data, width=1, space=NULL, names.arg=NULL,
legend.text=NULL, horiz=FALSE,
density=NULL, angle=45, kmg="fpnumkMGTP",
kmglim=TRUE,
type=c("xyplot", "linear", "barplot", "stackbar"),
col=heat.colors(NC), prcol=NULL,
border=par("fg"), main=NULL, sub=NULL,
xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
xpd=TRUE, log="", axes=TRUE,
axisnames=TRUE, prval=TRUE, lm=FALSE,
cex.axis=par("cex.axis"),
cex.names=par("cex.axis"),
cex.values=par("cex"),inside=TRUE,
plot=TRUE, axis.lty=0, plot.ci=FALSE,
ci.l=NULL, ci.u=NULL, ci.color="black",
ci.lty="solid", ci.lwd=1, plot.grid=FALSE,
grid.inc=NULL, grid.lty="dotted",
grid.lwd=1, grid.col="black", add=FALSE,
by.row=FALSE, ...)
```

data

a matrix of values describing the values that make up the
plot. The first column of `data`

is taken as the axis against
which all the other values are plotted. The first column of
`data`

may not be sparse.

width

optional vector of barwidths. Re-cycled to the number of bars drawn. A single value will have no visible effect.

space

the amount of space left before each bar. May be given
as a single number or one number per bar. If `type`

is
`stackbar`

, `space`

may be specified by two numbers, where
the first is the space between bars in the same group, and the second
the space between groups. Defaults to `c(0,1)`

if `type`

is
a `stackbar`

, and to 0.2 otherwise.

names.arg

a vector of names to be plotted below each bar or
group of bars. If this argument is omitted, then the names are
taken from the row names of `data`

.

legend.text

a vector of text used to construct a legend for the
plot, or a logical indicating whether a legend should be included;
if `legend.text`

is true, the row names of `data`

will
be used as labels if they are non-null.

horiz

a logical value. If `FALSE`

, the bars are drawn
vertically with the first bar to the left. If `TRUE`

, the
bars are drawn horizontally with the first at the bottom.

density

a vector giving the the density of shading lines, in
lines per inch, for the bars or bar components.
The default value of `NULL`

means that no shading lines
are drawn. Non-positive values of `density`

also inhibit the
drawing of shading lines.

angle

the slope of shading lines, given as an angle in degrees (counter-clockwise), for the bars or bar components.

kmg

the set of SI units to convert, defaults to "fpnumkMGTP". See below for details.

kmglim

logical. If `FALSE`

the conversion to SI units is not
performed. Default is `TRUE`

.

type

a string indicating the preferred format of the plot, choices are: xyplot : plot where y is plotted against the x-value. linear : plot where y values are plotted against equidistant x-values. barplot : plot where y values are represented as bars against equidistant x-values. stackplot : plot where y values are stacked for identical x-values and bars are equidistant.

col

a vector of colors for the bars or bar components.

prcol

the color to be used for the plot region.

border

the color to be used for the border of the bars.

main, sub

overall and sub titles for the plot.

xlab

a label for the x axis.

ylab

a label for the y axis.

xlim

limits for the x axis.

ylim

limits for the y axis.

xpd

logical. Should bars be allowed to go outside region?

log

a character string which contains `"x"' if the x axis is to be logarithmic, `"y"' if the y axis is to be logarithmic and `"xy"' or `"yx"' if both axes are to be logarithmic.

axes

logical. If `TRUE`

, a vertical (or horizontal, if
`horiz`

is true) axis is drawn.

axisnames

logical. If `TRUE`

, and if there are
`names.arg`

(see above), the
other axis is drawn (with `lty=0`

) and labeled.

prval

logical. If `TRUE`

, then values are plotted above
all points and bars.

lm

logical. If `TRUE`

, the linear fit is plotted.

cex.axis, cex.names, cex.values

character scaling factor for numeric axis labels, names, and displayed values, respectively.

inside

logical. If `TRUE`

, the lines which divide
adjacent (non-stacked!) bars will be drawn. Only applies when
`space = 0`

(which it partly is when `beside = TRUE`

).

plot

logical. If `FALSE`

, nothing is plotted.

axis.lty

the graphics parameter `lty`

applied to the axis
and tick marks of the categorical (default horzontal) axis. Note
that by default the axis is suppressed.

plot.ci

logical. If `TRUE`

, confidence intervals are plotted
over the bars. Note that if a stacked bar plot is generated, confidence
intervals will not be plotted even if `plot.ci = TRUE`

ci.l,ci.u

The confidence intervals (ci.l = lower bound, ci.u =
upper bound) to be plotted if `plot.ci`

= `TRUE`

. Values must have
the same dim structure as `height`

.

ci.color

the color for the confidence interval line segments

ci.lty

the line type for the confidence interval line segments

ci.lwd

the line width for the confidence interval line segments

plot.grid

if `TRUE`

a lined grid will be plotted behind the bars

grid.inc

the number of grid increments to be plotted

grid.lty

the line type for the grid

grid.lwd

the line width for the grid

grid.col

the line color for the grid

add

logical, if `TRUE`

add barplot to current plot.

by.row

Logical value. If `TRUE`

the data matrix is
organized with variables along rows rather than down colums.

…

further graphical parameters (`par`

) are
passed to `plot.window()`

, `title()`

and
`axis`

.

A numeric vector (or matrix, when `beside = TRUE`

), say
`mp`

, giving the coordinates of *all* the bar midpoints
drawn, useful for adding to the graph.

If `beside`

is true, use `colMeans(mp)`

for the
midpoints of each *group* of bars, see example.

Plot units are automatically scaled to SI units based on the
maximum value present, according to the set of units specified by
characters in the `kmg`

parameter. These letters are interpreted
as

- P
peta = 1E15

- T
tera = 1E12

- G
giga = 1E09

- M
mega = 1E06

- k
kilo = 1E03

- m
milli= 1E-03

- u
micro= 1E-06

- n
nano = 1E-09

- p
pico = 1E-12

- f
femto= 1E-15

with the default being "fpnumkMGTP" (all of these units). For example, if the largest value plotted is 1243000, it would be presented as 1.234M.

# NOT RUN { data(VADeaths, package = "datasets") VADeaths <- cbind( Age=c(50,55,60,65,70), VADeaths) mp <- ooplot(VADeaths) # default mp <- ooplot(VADeaths, type="xyplot") # same as default mp <- ooplot(VADeaths, type="linear") # linear scale mp <- ooplot(VADeaths, type="linear", log="y") # log scale on y axis mp <- ooplot(VADeaths, type="barplot") # barplot mp <- ooplot(VADeaths, type="stackbar") # stacked tot <- colMeans(VADeaths[,-1]) ooplot(VADeaths, col = c("lightblue", "mistyrose", "lightcyan", "lavender"), legend = colnames(VADeaths)[-1], ylim = c(0, 100), type="barplot", cex.values=0.75) title(main = "Death Rates in Virginia", font.main = 4) ## ## Capability demo ## ## examples for the ooplot routine ## ## create some test data test1 <- data.frame(x=c(0,1,2,3,4), lin=c(0,1,2,3,4)) test2 <- data.frame(x=c(0,1,2,3,4), par=c(0,1,4,9,16)) test3 <- data.frame(x=c(-2,-1,0,1,2),y2=c(4,1,0,1,4)) ## single line test example test1f <- test1 ## two column example test2f <- merge(test1,test2,by.x="x",all=TRUE,sort=TRUE) ## three column example test3f <- merge(test2f,test3,by.x="x",all=TRUE,sort=TRUE) ## subset, single row, example test5r <- test3f[5,] ## ## xyplot, linear, barplot, stackbar dev.off() mat <- matrix(c(1:16),4,4,byrow=TRUE) layout(mat) ooplot(test1f,type="barplot",col=c("red")) title(main="barplot") ooplot(test2f,type="barplot",col=c("red","blue")) ooplot(test3f,type="barplot",col=c("red","blue","green")) ooplot(test5r,type="barplot",col=c("red","blue","green")) ooplot(test1f,type="xyplot",col=c("red")) title(main="xyplot") ooplot(test2f,type="xyplot",col=c("red","blue")) ooplot(test3f,type="xyplot",col=c("red","blue","green")) ooplot(test5r,type="xyplot",col=c("red","blue","green")) ooplot(test1f,type="linear",col=c("red")) title(main="linear") ooplot(test2f,type="linear",col=c("red","blue")) ooplot(test3f,type="linear",col=c("red","blue","green")) ooplot(test5r,type="linear",col=c("red","blue","green")) ooplot(test1f,type="stackbar",col=c("red")) title(main="stackbar") ooplot(test2f,type="stackbar",col=c("red","blue")) ooplot(test3f,type="stackbar",col=c("red","blue","green")) ooplot(test5r,type="stackbar",col=c("red","blue","green")) # restore default layout (1 plot/page) layout(1) # }