Displaying 5 results from an estimated 5 matches for "delta_j".
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2005 Aug 14
1
complex expression with plotmath
...the
title of a plot.
My best attempt is the following:
myplot <- function(var1, var2) {
v=paste(var1,"==1 & ",var2,"==2");
plot(1:10, main=parse(,,v))
}
But when I call it with something like myplot("Q[i]", "Delta[j]") I
get "&(Q_i=1,Delta_j=2)" as title when I want to get "Q_i=1 &
Delta_j=2".
Is there any solution within R? (I don't want to use psfrag and Latex
to post-process the plot)
Why R does not have support for full Latex expressions? (as Matlab
f.ex.). IMHO plotmath is not good enough.
Thank you all....
2006 Dec 14
3
Model formula question
...R programming and I'm trying to reproduce a
result from a paper.
Basically, I have a dataset which I would like to model in terms of
successive increments, i.e. (y denote empirical values of y)
y_1 = y1,
y_2 = y1 + delta1,
y_3 = y1 + delta1 + delta2.
...
y_m = y1 + sum_2^m delta j
where delta_j donote successive increments in the y-values, i.e.
delta j = y_j - y_(j-1).
In order to estimate y-values, I'm assuming that delta j is
approximately equal to kj**u, such that my regression model should be
something like this:
^y_1 = a1
^y_2 = a1 + k2**u
^y_3 = a1 + k2**u + k3**u
...
^y_...
2009 Dec 22
1
strucchange | breakpoints - pure structural change model?
...nts()" function in the strucchange
package is an implementation of the pure structural change model proposed
by Bai and Perron (1997, 2003)?
My question relates to a partial structural change model that Bai and
Perron formulate in their 2003 paper, e.g. formulated as
y = x' beta + z' delta_j + epsilon,
where beta and delta are vectors of coefficients. x represents a vector of
variables with an invariant effect on y. z represents a vector of
variables, of which the effect on y is allowed to vary due to structural
breaks. j indicates the respective segments, which result from the
struct...
2006 Dec 14
0
Model formula
...R programming and I'm trying to reproduce a
result from a paper.
Basically, I have a dataset which I would like to model in terms of
successive increments, i.e. (y denote empirical values of y)
y_1 = y1,
y_2 = y1 + delta1,
y_3 = y1 + delta1 + delta2.
...
y_m = y1 + sum_2^m delta j
where delta_j donote successive increments in the y-values, i.e.
delta j = y_j - y_(j-1).
In order to estimate y-values, I'm assuming that delta j is
approximately equal to kj**u, such that my regression model should be
something like this:
^y_1 = a1
^y_2 = a1 + k2**u
^y_3 = a1 + k2**u + k3**u
...
^y_...
2011 Dec 30
2
Joint modelling of survival data
Assume that we collect below data : -
subjects = 20 males + 20 females, every single individual is independence,
and difference
events = 1, 2, 3... n
covariates = 4 blood types A, B, AB, O
http://r.789695.n4.nabble.com/file/n4245397/CodeCogsEqn.jpeg
?m = hazards rates for male
?n = hazards rates for female
Wm = Wn x ?, frailty for males, where ? is the edge ratio of male compare to
female
Wn =