problems.
Thanks,
Tianchan
-Original Message-
From: Gabor Grothendieck [mailto:ggrothendi...@gmail.com]
Sent: Wednesday, January 02, 2013 2:16 PM
To: Tianchan Niu
Cc: r-help@r-project.org
Subject: Re: [R] Need help with self-defined function to perform nonlinear
regression and get
a wrong question?
Thank you!
From: David Winsemius [dwinsem...@comcast.net]
Sent: Tuesday, September 13, 2011 4:24 PM
To: Tianchan Niu
Cc: r-help@r-project.org
Subject: Re: [R] How to calculate the power of Wilcoxon signed rank test
On Sep 13, 2011, at 3:34 PM
Dear all,
I would like to use cut() to make numerics to factors, the sample codes are as
follows. However, the result is not what I want, since r[3] = 9 should be in
the interval of 8-10% rather than 2-4%. Maybe cut() is not the right
function to use for my situation. Please help. r -
Dear All,I would like to do multiple regression in R. I used: lm(y~X),
where y is a n by 1 vector, and X is a n by m matrix. I kept getting the error
message:Error in model.frame.default(formula = y ~ X, : invalid type (list)
for variable 'X'. However, when I used:
Dear All,
I am trying to use ode solver rk4 to solve an ODE system, however, it
keeps saying: Error in eval(expr, envir, enclos) : object dIN not found.
The sample codes are enclosed as follows, please help me. Thank you very
much!
rm(list=ls())
library(odesolve)
# The ODE system
Dear All,
I am trying to use ode solver rk4 to solve an ODE system, however, it
keeps saying: Error in eval(expr, envir, enclos) : object dIN not found.
The sample codes are enclosed as follows, please help me. Thank you very
much!
rm(list=ls())
library(odesolve)
# The ODE system
Dear All,
I was using rk4 and lsoda to solve a ODE system. However, both of them gave
bad accurate solutions, especially compared with Matlab solver ODE45. For
example, ODE45 gave solutions that can go to a stable level (about 1.6) when
time goes to infinity, however, the solutions from lsoda are
Dear All,
I was using rk4 and lsoda to solve a ODE system. However, both of them gave
bad accurate solutions, especially compared with Matlab solver ODE45. For
example, ODE45 gave solutions that can go to a stable level (about 1.6) when
time goes to infinity, however, the solutions from lsoda are
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