Well, actually, in Splus I had this problem. In R this problem seems
to be solved. Does anyone have an idea how to solve this problem in
Splus?
Cornelis
2008/2/29, Cornelis de Gier <[EMAIL PROTECTED]>:
> I'm looking for an answer to a similar question:
>
> years <-
I'm looking for an answer to a similar question:
years <- as.factor(sort(rep(1987:2006,20)))
values <- rnorm(1:400,0,10)
plot(years,values)
results in 20 boxplots with x axis labels unreadable because there are
too many of them. How do I reduce the number of x axis labels?
Regards,
Cornelis
2
Dear List,
I'd like to make boxplots of a large number of observations (+/-
20.000), which are distributed log-normal and right skewed. The
problem is that with standard boxplots a too large number of
observations are displayed as outliers. I also tried to display the
log of the observations, but
The S-plus function moving.ave(data, span = 2) calculates the moving
average, but it does not have an argument to tell it how to deal with
NA values, so it will return NA for all averages as shown below.
Is there an R or S moving average function which is able to omit some
NA values in the dataset
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