The 'fda' package supports fitting finite Fourier series with examples
in 'canadian-weather.R' and 'gait.R' in the 'demo' subdirectory of
'~R\library\fda\fda'; see also 'fda-ch01.R' in the 'scripts'
subdirectory. Also, the 'percur' funcction in the 'DierckxSpline'
package supports fitting per
Perhaps you could explain the motivation behind this. At any rate here
are three different solutions:
ifelse(is.na(m1), ifelse(is.na(m2), NA, m2), ifelse(is.na(m2), m1, m1 + m2))
apply(array(c(m1, m2), c(2,2,2)), 1:2, function(x) sum(c(na.omit(x), NA)[1]))
na.m1 <- is.na(m1)
na.m2 <- is.na(m2)
Hi,
This should be elementary, but I can't find any resource on creating a
legend for heatmap. Please help.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read th
Dear R Help,
I read through the archives pretty extensively before sending this
email, as it seemed there were several threads on using predict with
GLM. However, while my issue is similar to previous posts (cannot
get it to predict using new data), none of the suggested fixes are
working
Your problem is that your newdata data frame only specifies what the
value for A is in the predictions. The values for W1 and W2 are
unspecified. To predict from fitted models, you need to specify the
values you wish to use for *all* the predictor variables, not just the
one (I presume) is differ
According to the R documentation for NLMINB, the returned value of convergence
is 0 for successful convergence. When I got another code (1), I looked up the
PDF that linked from the documentation
(http://netlib.bell-labs.com/cm/cs/cstr/153.pdf), which said that a return code
under 3 was imposs
Dear all;
What can be wrong with this simple example?
library(boot)
d1<-c(rnorm(10,mean=10))
fm<-function(d,i) mean(d[i])
bd1<-boot(d1,fm,1)
> Error: evaluation nested too deeply: infinite recursion /
> options(expressions=)?
Thanks for any idea
___
I wonder what your sessionInfo() is...
I copied and pasted your example and could not reproduce the problem
(ie, worked just fine).
b
On Jan 29, 2008, at 12:27 AM, Pedro Mardones wrote:
Dear all;
What can be wrong with this simple example?
library(boot)
d1<-c(rnorm(10,mean=10))
fm<-funct
On Mon, 28 Jan 2008, Sherri Rose wrote:
> Dear R Help,
>
> I read through the archives pretty extensively before sending this
> email, as it seemed there were several threads on using predict with
> GLM. However, while my issue is similar to previous posts (cannot
> get it to predict using new da
On Tue, 29 Jan 2008, Pedro Mardones wrote:
> Dear all;
>
> What can be wrong with this simple example?
>
> library(boot)
> d1<-c(rnorm(10,mean=10))
> fm<-function(d,i) mean(d[i])
> bd1<-boot(d1,fm,1)
>
>> Error: evaluation nested too deeply: infinite recursion /
>> options(expressions=)?
Let
Hello,
I used 'arrows' function to plot the error bar but it dosen't work always.
For example:
Similar commands on two different data sets gives first result OK and second
result NOT (attached plot1 is OK and plot2 is NOT). Plots as well as data
file is attached here. Below is the script which I
101 - 111 of 111 matches
Mail list logo
