Thanks to somebody I got the hint to use offset for the purpose of
validating if there's
a difference between the intercept and slope of a model and some
provided values for
the coefficients intercept and slope.
I read ?model.offset and I'm still struggling to use it for my
purpose. If I understoo
I think I need to restate the problem. If the test data is only a vector,
then I am predicting one test sample. But the output from the predict result
has the same length as the training set. And there is a warning message
about this.
Annie
On Sat, Aug 8, 2009 at 2:52 PM, annie Zhang wrote:
> Hi
Hi, Milton,
Thank you for the reply. I tried, but it seems the problem is the column
name of the test data is not the same as the column name of the training
data. I didn't give the column name, the system seemed do. How to chang
here?
Annie
On Fri, Aug 7, 2009 at 7:52 PM, milton ruser wrote:
Hi,
Rscript does not print the commands in the script. I am wondering what
command can print both the commands as well as the output on the
screen.
Regards,
Peng
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE d
In which case, what's wrong with
if ( !someTestResult ) q('no')
(or 'yes' if one prefers)
-Don
At 7:58 PM +0100 8/8/09, Patrick Burns wrote:
Dirk Eddelbuettel wrote:
On 8 August 2009 at 09:12, ferreirafm wrote:
| hi,
| Does anybody know if there is a dienice python equivalent command in R
Hi Jake
the pset is the same as that of Deepayan Sarkar's. I must not have copied
all the code as I thought and did not see that there was no pset
Basically I am trying to keep everything contained within the xyplot and
avoid changing the device settings.
I frequently use par.settings = list( .
You probably have a working solution by now, from the other
responses, but s ince you're new to R I'd like to point out a few
things.
(1)
Using subset() to pull out just one column is overkill. Two simpler ways are
KN1 <- KN[ , 5]## note the comma
KN1 <- KN[[5]]
And learning how to do
Hi Jake
lattice has far more options to change and is more "powerful" so that you
can customize different parts of the graph.
It calls grid so some of the more complicated things you may want to do
could find you getting into grid which can be seen in
names(trellis.par.get())
[1] "grid.pars"
Hi Pat,
On 8 August 2009 at 19:58, Patrick Burns wrote:
| Dirk Eddelbuettel wrote:
| > On 8 August 2009 at 09:12, ferreirafm wrote:
| > | hi,
| > | Does anybody know if there is a dienice python equivalent command in R??
| > | The python dienice command just finishes the program when issued.
| >
Erin,
On 8 August 2009 at 13:25, Erin Hodgess wrote:
| Dear R People:
|
| I am installing R from source into Ubuntu Jaunty Jackalope. (R-2.9.1)
|
| When I do the configure, I get the following:
We need _reproducible examples_.
Unless you show us how you called configure, we cannot really hel
That was it.
thanks so much
Sincerely,
erin
On Sat, Aug 8, 2009 at 2:21 PM, Phil Spector wrote:
> Erin -
> Packages like tk8.4 are basically runtime packages. They
> don't provide the necessary header files that are required to
> compile programs which will use those runtime packages. I
> s
Erin -
Packages like tk8.4 are basically runtime packages. They
don't provide the necessary header files that are required to
compile programs which will use those runtime packages. I
suspect you'll need to install tcl8.4-dev and tk8.4-dev in order
to build those capabilities into R. I thi
Dirk Eddelbuettel wrote:
On 8 August 2009 at 09:12, ferreirafm wrote:
| hi,
| Does anybody know if there is a dienice python equivalent command in R??
| The python dienice command just finishes the program when issued.
| I want do something like: if (test) fails so dienice.
Try
dienic
Hi there,
I've got a question which is really trivial for sure but still I have
to ask as I'm not
making any progress solving it by myself (please be patient with an
undergraduate
student):
I've got a linear model (lm and lmer fitted with method="ML").
Now I want to compare the coefficients (slop
Dear R People:
I am installing R from source into Ubuntu Jaunty Jackalope. (R-2.9.1)
When I do the configure, I get the following:
R is now configured for i686-pc-linux-gnu
Source directory: .
Installation directory:/usr/local
C compiler:gcc -std=gnu99 -g -O2
I think that Daniel is correct, and that you are mistaking the console
representation from the internal one - try ?print and look at the digits=
option. In general, note that get.Pcent() is not currently used, and
coordinates() of a SpatialPolygonsDataFrame object read in using, for
example, readS
Try this, it plots two points ahead based on the existing data of a month apart.
# Sample dates
xValues <- seq.Date(as.Date("1990-01-31"), to=as.Date("1992-12-31"),
by="month")
# Sample y value
yValues <- seq(0.1, length=length(xValues))
mydf <- data.frame(xValues,yValues);mydf
mydf[,1]
li
On 8 August 2009 at 11:14, Peng Yu wrote:
| The book "Programming with Data: A Guide to the S Language" was
| published over 10 years ago. I know that to understand object oriented
| programming. I should read the associated section in this book. But I
| am wondering if other chapters, in particul
On 8 August 2009 at 09:12, ferreirafm wrote:
| hi,
| Does anybody know if there is a dienice python equivalent command in R??
| The python dienice command just finishes the program when issued.
| I want do something like: if (test) fails so dienice.
Try
dienice <- function() q("no")
al
hi,
Does anybody know if there is a dienice python equivalent command in R??
The python dienice command just finishes the program when issued.
I want do something like: if (test) fails so dienice.
Thanks in advance,
Fred
--
View this message in context:
http://www.nabble.com/dienice-for-
Was: Re: Adjusting x/y text labels for a bwplot using cex.lab
The purpose of this email is merely to explain how to control, separately,
two different text sizes on the axes in an R plot, in traditional or lattice
graphics. I did not find an explicit exposition of this, with examples, in a
quick
Hi,
The book "Programming with Data: A Guide to the S Language" was
published over 10 years ago. I know that to understand object oriented
programming. I should read the associated section in this book. But I
am wondering if other chapters, in particular "Chapter 3. Quick
Reference", are still rel
On Sat, 2009-08-08 at 17:38 +0530, Arup Pramanik wrote:
> hi,
>
> Thanks for your reply but now it is giving me a message that Error in
> factanal(~., data = sony_factor, factors = 10, na.action = na.omit) :
> factor analysis applies only to numerical variables. All the
> variable which I am ha
On Fri, 2009-08-07 at 19:07 -0700, Arup wrote:
> Hi I am trying to run Factor Analysis using R...I am using the syntax
> factanal(m1, factors=3) but it's giving me an message Error in cov.wt(z) :
> 'x' must contain finite values only
> ...I am using a data set which is having only numeric variabl
Try this:
foo <- function(x, dir = getwd(), ...){
png(file.path(dir, sprintf("%s.png", x)))
plot(DF.split[[x]], ...)
dev.off()
}
DF.split <- split(DF[, c("year", "peak")], DF$site)
sapply(DF.split, foo)
On Fri, Aug 7, 2009 at 4:05 PM, Ingrid Tohver wrote:
> Hello,
> I am attemptin
You have to understand the difference between the lexical scope of a
function (which gives the search path for variables) and call stack (which
is a path of function calls). This gives an enormous flexibility in
programming, perhaps at the cost of confusing some people.
See http://cran.r-pr
Julius -
Both mag and i are vectors, but of different lengths.
R interprets the statement mag>=i as "return a vector the
same length as mag and i whose elements compare the
corresponding elements of the two vectors." The error
message is due to the fact that mag and i are of different
lengt
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