hi,
i am trying to teach myself about ARIMA models. i have followed examples
from a number of sources and have more or less got the hang of how it
works. i would like to compare the output from the fitted model to the
original data. is this possible? or even a meaningful thing to do?
to be clear,
magic! this does the trick:
expression(paste(italic(n)[symbol("\052")]))
thanks for the hint, ted!
--
Andrew B. Collier
Physicist
Waves and Space Plasmas Group
Hermanus Magnetic Observatory
Honorary Senior Lecturer tel: +27 31 2601157
Space Physics Research Institu
l: +27 31 2601157
Space Physics Research Institute fax: +27 31 2607795
University of KwaZulu-Natal, Durban, South Africagsm: +27 83 3813655
On Fri, 2011-01-28 at 09:48 +, Prof Brian Ripley wrote:
> On Fri, 28 Jan 2011, Andrew Collier wrote:
>
> > hi,
hi,
i am trying to label a plot axis with the equivalent of the latex $n_*$.
i initially tried
expression(paste(italic(n)["*"]))
but this made the * absolutely tiny and centred about midway wrt the n.
then
expression(paste(italic(n)[textstyle("*")]))
made the * about the right size but now it
hi,
i am sure that this is a trivial question but i have not been able to
find an answer by searching the mailing lists. i want to plot points on
a graph, joined by lines. the command that i am using is
points(x, y, type = "b", pch = 21)
this plots nice open circles at the data points and draws
hi peter and david,
thanks for the excellent suggestions. here is something like what i am
finally using (those fancy fonts were really tempting, but i chose
something a little more mundane!):
library(lattice)
x <- sort(rnorm(100,50,10))
y <- sort(runif(100,0,20))
d <- expand.grid(x=x, y=y)
d$z
hi,
i am trying to figure out how to put a caption on the colour scale of a
levelplot. there does not seem to be an option for this in levelplot().
i tried using mtext() but as soon as you put the text far out enough on
the right of the plot, it goes beyond the plot boundary. so i tried to
extend
hi,
i have been using a 64 bit desktop machine to process a whole lot of
data which i have then subsequently used save() to store. i am now
wanting to use this data on my laptop machine, which is a 32 bit
install. i suppose that i should not be surprised that the 64 bit data
files do not open on m
hi,
i am having trouble getting a particular time series to plot. this is what i
have:
> class(irradiance)
[1] "ts"
> irradiance[1:30]
197811 197812 197901 197902 197903 197904 197905 197906
1366.679 1366.729 1367.476 1367.739 1368.339 1367.883 1367.916 1367.055
197907 197908
hello,
i have been using cor.test() for calculating the correlation coefficient and p
values for some data. however, since the data consist of two dichotomous
sequences (actually just binary data), i understand that simply using the
pearson correlation is not sufficient. however, having done a
peter, thanks for your help with my questions regarding cor.test(). i have
another question though: does this function make any assumptions about the
underlying distribution of the two sequences? does it assume that they have a
gaussian distribution?
i ask because the data that i am working wit
hello,
i am a bit of a statistical neophyte and currently trying to make some sense of
confidence intervals for correlation coefficients. i am using the cor.test()
function. the documentation is quite terse and i am having trouble tieing up
the output from this function with stuff that i have r
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