error bars

Dear Help

I'm new to R (from matlab)...using windows XP.

I've tried to work out, to no avail, 4 things:

1) rotating the numbers on axes...something to do with par(str) ??

?par and argument 'las' for basic control. There is a FAQ that explains
how to get more control of the rotating:

http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-can-I-create-rotated-axis-labels_003f

2) how to close a window having opened one e.g. windows(7,7)

[ click on the close button in the window title bar? ;-) ]

More seriously, if you are looking for a R function to do it, dev.off()
closes the currently active device.

dev.list() shows the devices open on your system, dev.cur() tells you
which device is currently active and dev.set() switches between opened
devices; since from your question I'm guessing you have more than one
opened at a time.

3) how to manipulate the key (e.g. dots, lines etc) on the legend.
Using pch just gives me the same key for all functions on  a plot.

Provide a vector of plotting characters, e.g. 'pch = 1:6'. 'pch' only
controls the plotting character; 'lwd' controls widths of lines, 'lty'
line types. All accept vectors of 'types' so you can specify exactly
what you need.

i.e. legend ("right",   legend=c("Model","Obs"), pch= 16 )...in this
case both Model and Obs are filled circles!

4) how to add error bars (SE or STD) to an xy plot

?arrows

arrows() is the easiest way to cook this up yourself from standard
graphics calls. Just draw an arrow from value+error to value-error on
the axis that has the error. For example, using dummy data:

dat <- data.frame(A = rnorm(10, mean = 3, sd = 2), 
                  B = rnorm(10, 10, sd = 4),
                  C = rnorm(10, 35, sd = 6))
## something to plot
mns <- colMeans(dat)
## some uncertainty
err <- 2 * sd(dat)
## compute space for means +/- err
ylims <- range(c(mns + err, mns - err))
## plot
plot(mns, ylim = ylims)
## add error bars
arrows(1:3, mns + err, 1:3, mns - err, code = 3, 
       angle = 90, length = 0.1)

There are functions in several packages to simplify this process for
you. Do:

RSiteSearch("error bars", restrict="functions")

in your R session for lots of hits.

These are all fairly basic R fundamentals. Perhaps, if you haven't
already done so, take a look at the manual 'An Introduction to R' that
comes with R or one of the several user contributed documents:

http://cran.r-project.org/other-docs.html

HTH

G

The last is the most important for me right now. All help much
appreciated.

Many thanks

Boris


Dr. Boris Kelly-Gerreyn

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