rkevinburton at charter.net writes:
ff - complex(length(fs))
ff[9] - fs[9]
ff[5] - fs[5]
Include the DC component:
ff[1] - fs[1]
Take the inverse
fi - fft(ff, inverse=TRUE) / length(ff)
Plot
plot(fi)
Notice that the plot is the Re vs. Im on the x and y axis'
My question is how does 'plot' know to implicilty call the plot.ts (in the case
of the full exact spectrum being fed back into the inverse?
Kevin
Dieter Menne [EMAIL PROTECTED] wrote:
rkevinburton at charter.net writes:
ff - complex(length(fs))
ff[9] - fs[9]
ff[5] - fs[5]
rkevinburton at charter.net writes:
My question is how does 'plot' know to implicilty call the plot.ts (in the
case of the full exact spectrum
being fed back into the inverse?
So the title should be How does the specific incarnation of object orientation
in R work? Try, for example, section
Sorry, I must be looking at a different section but when I look at 3.4 in
r-intro.pdf I see:
3.4 The class of an object
All objects in R have a class, reported by the function class. For simple
vectors this is just the
mode, for example numeric, logical, character or list, but matrix,
array,
rkevinburton at charter.net writes:
I have a a simple function that generates a time series square wave:
Your example is not self-running, because the definition of e is unclear.
Now I ge the x-asis as the real component and y-axis as imaginary component.
When does the display switch?
So iis what you are saying n plotting the list of compliex numbers 'R'
recognizes the non-symmery and plots it differently (Re vs. Im) rather than
versus Time?
Dieter Menne [EMAIL PROTECTED] wrote:
rkevinburton at charter.net writes:
I have a a simple function that generates a
rkevinburton at charter.net writes:
So iis what you are saying n plotting the list of compliex numbers 'R'
recognizes the non-symmery and plots
it differently (Re vs. Im) rather than versus Time?
Mmm... don't fully understand what you mean, mainly because your program example
did not run
Generate the square wave:
genseq - function()
{
x - numeric(4*365)
s - seq(as.Date(2005-01-01), as.Date(2008-12-31), by=month)
ob - as.vector(s[c(10,22,34,46)] - as.Date(2005-01-01))
oe - as.vector(s[c(11,23,35,47)] - as.Date(2005-01-01))
for(.index in 1:length(ob))
{
I have a a simple function that generates a time series square wave:
genseq - function()
{
x - numeric(4*365)
s - seq(as.Date(2005-01-01), as.Date(2008-12-31), by=month)
ob - as.vector(s[c(10,22,34,46)] - as.Date(2005-01-01))
oe - as.vector(s[c(11,23,35,47)] - as.Date(2005-01-01))
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