Displaying 4 results from an estimated 4 matches for "xyear".
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2002 Nov 19
3
filled.contour - plot.axes
...ot accordingly. Can anybody help? I
imagine that one uses the plot.axes argument but I'm having trouble
figuring out how to do it. The matrix is already a log scale so the
ticks and numbers are evenly spaced by 10.
Thanks in advance, Andy
Example:
junk.mat <- matrix(rnorm(12800), 128, 100)
xYears <- 1:nrow(junk.mat)
yPeriod <- 1:ncol(junk.mat)
filled.contour(xYears,
yPeriod,
junk.mat,
color = terrain.colors)
#? plot.axes = { axis(2, seq(??))}
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r-...
2002 Nov 19
1
Another plot question
...ed, e.g., the width of the 25% and the 95%
should look the same on the key. They are labeled and ticked right. Is
there a way to space them correctly?
Thank you all for being an outstanding user community,
AB
#~~~~~~~~~~~~~~~~~~~~~
#example to post
junk.mat <- matrix(rnorm(12800), 128, 100)
xYears <- 0:(nrow(junk.mat)-1)
yPeriod <- 1:ncol(junk.mat)
temp <- seq(10, ncol(junk.mat), 10)
myLabels <- 2^(temp/10)
cwtquants <- quantile(junk.mat, probs = c(0, 0.25, 0.5, 0.75, 0.95, 1))
quant2plot <- c(cwtquants[1], cwtquants[2], cwtquants[3], cwtquants[4],
cwtquants[5], cwtquants[...
2013 Jan 29
1
ccf (cross correlation function) problems
...ta of y from 1990
to 2010, the graphic has a opposite trend, i.e. when the variable x was
high in the 1986, the variable y was low in 1990 and so on until the end of
the time series.
Consequently I aspect that the two time series are correlated with a
negative correlation value.
Namely:
Yyear=f(xyear-Lag).
And corr has a negative value.
I write here the script I have performed in R.
a)
x<-c(105.3381,126.2792,121.7298,110.35,133.1647,140.5724,183.8853,177.0154,181.2147,186.4154,209.6958,205.029
2,184.9683,
222.9683,219.8538,268.1029,249.1545,228.942,198.2119,171.0913,146.346,166.3192,1...
2011 Oct 03
1
xts/time-series and plot questions...
Hello,
I'm a complete newbie to R. Spent this past weekend reading The Art of R Programming, The R Cookbook, the language spec, Wikis and FAQs. I sort-of have my head around R; the dizzying selection of libraries, packages, etc? Not really. I've probably missed or failed to understand something...
I have very a simple data set. Two years (ish) of temperature data, collected and