Hello,
Â
Could someone help me please and to tell how to get the probability from
empirical DENSITY (not parametric) for each data value (R function).
For example, for normal distribution there is such a function like:
Â
âdnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)â
Â
Hello,
Â
Could someone help me please and to tell how to get the probability from
empirical distribution (not parametric) for each data value (R function).
For example, for normal distribution there is such a function like:
Â
âpnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)â
Â
Hello,
Â
Could someone tell me please how can I find out which starting values has R
used for the simulation?
Â
I have AR(1) model:
Â
y(t)=0.2*y(t-1)+0.2*y(t-2) + e(t) Â
Â
(e(t) is distributed according standard normal distribution)
Â
I need y(0) (or y(t-1), then t=1)Â values for
following calculations (it is
very important parameter).
Should I assume that y(0)=mean(yt) or set y(0)=0?
Â
How to find out, which values R uses for y(0), y(-1) and so on?
Â
Thank you very much for the answer!
Â
Best regards,
Lina Rusyte
[[alternative HTML version deleted
Hello,
Â
What function can I use for matrices addition? I couldnât find any
information about it in the manual or in the internet.
(A+B suits, when the number of matrixes is small, function sum() doesnât suit
for matrices addition, because it sums all variables in the matrices and
produces
Dear Sirs,
Â
I would like to ask you, what function can I use for matrices addition? I
couldnât find any information about it in the manual or in the internet.
(A+B suits, when the number of matrixes is small, function sum() doesnât suit
for matrices addition, because it sums all variables i
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