Hello,
I am drawing contour lines for a function of 2 variables at one level of
the value of the function and want to include a small arrow in any
direction of increase of the function. Is there some way to do that?
Below is an example that creates the contour lines. How do I add one small
arrow
Hi All,
This is surely an easy question but somehow I am not being able to get it.
I am using R 2.13.2 and have a data set where variable names like this
appear:
pci1990, pci1991, ... , pci2009.
pci1990 has data on per capita income for 1990, pci1991 has data on per
capita income for 1991, and
Thanks for both comments. Indeed the sep = is needed.
On Sun, Oct 9, 2011 at 9:43 PM, Rolf Turner rolf.tur...@xtra.co.nz wrote:
On 10/10/11 04:53, R. Michael Weylandt wrote:
SNIP
Try this:
for (i in 1990:2009) {
varName = paste(pci, i, collapse = )
assign(varName,
Hi all,
I have a data management question. I am using an panel dataset read into
R as a dataframe, call it ex. The variables in ex are: id year x
id: a character string which identifies the unit
year: identifies the time period
x: the variable of interest (which might contain NAs).
Here is
shows to indicate
where to focus on.
On Dec 2, 2007 12:49 PM, DEEPANKAR BASU [EMAIL PROTECTED] wrote:
R Users:
I am trying to estimate a model of fertility behaviour using birth history
data with maximum likelihood. My code works but is extremely slow (because
of several for loops
on.
On Dec 2, 2007 12:49 PM, DEEPANKAR BASU [EMAIL PROTECTED] wrote:
R Users:
I am trying to estimate a model of fertility behaviour using birth history
data with maximum likelihood. My code works but is extremely slow (because
of several for loops and my programming inefficiencies); when
R Users:
I am trying to estimate a model of fertility behaviour using birth history data
with maximum likelihood. My code works but is extremely slow (because of
several for loops and my programming inefficiencies); when I use the genetic
algorithm to optimize the likelihood function, it takes
Hi All,
I am trying to do an ML estimation in R. My likelihood function has
several nested loops and so it takes a lot of time (days when I use the
genetic algorithm for optimization) for the optimization to finish.
Unable to avoid loops, I am thinking of writing the likelihood function
in C++
Thanks for the help.
On Tue, 2007-11-06 at 14:48 -0200, Alberto Monteiro wrote:
Deepankar Basu wrote:
I am trying to do an ML estimation in R. My likelihood function has
several nested loops and so it takes a lot of time (days when I use the
genetic algorithm for optimization
4 5
[[4]]
b2
2
[[5]]
b1
1
[[6]]
b2 b4
2 4
On 10/25/07, Deepankar Basu [EMAIL PROTECTED] wrote:
Hi All,
I have data on the sequence of births for families with completed
fertility cycle (in a data frame); the relevant variables are called b1,
b2
Hi All,
I have data on the sequence of births for families with completed
fertility cycle (in a data frame); the relevant variables are called b1,
b2, b3, b4, b5, b6 and record the birth of the first, second, ..., sixth
child. So,
b1=1 if the first birth is male,
b1=2 if the first birth is
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