. .
-- .- -.-- -... . ... --- -- .
.-. . .--. .-. --- -.. ..- -.-. .- -... .-.. . -.-. --- -.. .
.-- --- ..- .-.. -.. . .-.. .--. ..- ... .- -. ... .-- . .-.
-.-- --- ..- .-. --.- ..- . ... - .. --- -. ... - --- .--.
.- .--. --- .-.. --- --. .. . ... ..-. --- .-.
On 08/31/2011 07:06 PM, Patrick Connolly wrote:
. .
-- .- -.-- -... . ... --- -- .
.-. . .--. .-. --- -.. ..- -.-. .- -... .-.. . -.-. --- -.. .
.-- --- ..- .-.. -.. . .-.. .--. ..- ... .- -. ... .-- . .-.
-.-- --- ..- .-. --.- ..- . ... - .. --- -. ... - --- .--.
.- .--.
I found that replacing dcom by dexp( that is what dcom will become
is this case) solve the problem. But I need some mechanics like this
provided by dcom, because I am planning to also use dgamma and many
others...
So, if some one have any idea it will be very appreciable.
Thanks in advance.
On
On Aug 31, 2011, at 10:25 AM, . . wrote:
I found that replacing dcom by dexp( that is what dcom will become
is this case) solve the problem. But I need some mechanics like this
provided by dcom, because I am planning to also use dgamma and many
others...
In R functions are things but they
In R functions are things but they are not strings and cannot be
executed by just asserting a character vector element.
... But note that they can be executed by by asserting a list of
functions component (as well as by do.call below)
x - c(rnorm, rt, rweibull) ## this is a list of functions
On Aug 31, 2011, at 11:05 AM, Bert Gunter wrote:
In R functions are things but they are not strings and cannot be
executed by just asserting a character vector element.
... But note that they can be executed by by asserting a list of
functions component (as well as by do.call below)
x -
Hi all,
Why I am getting,
Error: evaluation nested too deeply: infinite recursion / options(expressions=)?
Thanks in advance!
func - Vectorize(function(x, a, sad, trunc=0, ...) {
result - function(x) {
f1 - function(n) {
dcom - paste(d, deparse(substitute(sad)), sep=)
dots
get a 'traceback' at the point of the error to see how deep the stack is and
what is being called. Also look at the help page for 'options' to see how to
get the browser when an error ocurs; this is under 'error' on the help page.
also lookup debugging under R so that you can do this
I think you have change options(expression = default_value)
you can input the command options()in Rconsole
And check the value of the expression.
and change the value to 100.
Hope you over this problem.
--
View this message in context:
Hi,
I am processing tick data and my code has stopped working as I have
increased the size of data being processed. Now I am receiving error for
basic tasks in RConsole:
a = c(1:1000)
Error: evaluation nested too deeply: infinite recursion /
options(expressions=)?
My R code worked fine with
For further info, I cannot check my memory usage or even use ls() :
memory.limit
Error: evaluation nested too deeply: infinite recursion /
options(expressions=)?
?memory.limit
Error: evaluation nested too deeply: infinite recursion /
options(expressions=)?
ls()
Error: evaluation nested too
On 11-03-09 1:05 PM, rivercode wrote:
Hi,
I am processing tick data and my code has stopped working as I have
increased the size of data being processed. Now I am receiving error for
basic tasks in RConsole:
a = c(1:1000)
Error: evaluation nested too deeply: infinite recursion /
Hi guys,
I have a code in R and it was work well but when I decrease the epsilon
value (indicated in the code) , then I am getting this error
Error: evaluation nested too deeply: infinite recursion /
options(expressions=)?
any help please
y = 6.8;
w = 7.4;
z = 5.7;
muy = 7;
muw = 7;
muz =
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