ggplot2
ggplot2 is a plotting system for R, based on the grammar of graphics,
which tries to take the good parts of base and lattice graphics and
avoid bad parts. It takes care of many of the fiddly details
that make plotting a hassle (l
OS gmail.com> writes:
> Hi,
> I have some code I run interactively through the R interpreter and it works
> fine. I then run it as a script with Rscript and I get an error. The error
> is coming when Rscript builds a model matrix.
>
> Output from Rscript with the error:
> running
> '/usr/lib/R/
I have used the following function to convert to POSIXct from a numeric
without any problems:
> unix2POSIXct <- function (time) structure(time, class = c("POSIXt",
"POSIXct"))
>
> unix2POSIXct(946764000)
[1] "2000-01-01 17:00:00 EST"
>
On Fri, Feb 19, 2010 at 4:07 PM, Tim Clark wrote:
> Dear
Glad to know it isn't just me! I couldn't use Phil's data.frame method since
my real problem went from a POSIXct object to a large matrix where I used rbind
and then back to POSIXct. Jim's function worked great on converting the final
product back to the proper date.
Thanks!
Tim
Tim Clark
Hello,
I am attempting to write a script that adds error bars to a barchart. I
basing my attempt heavily on the following thread:
http://tolstoy.newcastle.edu.au/R/e2/help/06/10/2791.html
I can't seem to get around the problem that was discussed in the thread. The
following example should illust
Hi,
I draw a surface corresponding to bivariate density of independent
variables (rho=0) using persp(). Then I add a contour line (i.e.,
circle in my case) at a particular density. Below is a minimal example
of what I have so far.
# Bivariate density
dnorm2d <- function(x, y, rho = 0) {
xoy = (
I have tried to install the "genetics" package and am getting and error.
The log is below. For information, I am using R 2.10.1 on the Windows
XP operating system. The mirror site I'm using is Michigan Technological
University.
Your help in this matter will be greatly appreciated.
Murray M Coope
Dear All:
For a few days now I have struggled with recreating a stable LaTeX/R/Sweave
environment on a new Windows XP SP3 machine. Unfortunately it seems that I
ran out of good ideas and I would like your expert opinion on how I should
approach this task and be successful. In essence, I install
Try
f <- function(nbr){
y<-rnorm(nbr)
y1 <- mean(y)
plot(y)
invisible( y1)
}
That will return y1 invisibly, so
f(100)
plots but returns nothing visible but
w<-f(100)
plots and places the return value in w
>>> Dennis Murphy 02/19/10 9:33 PM >>>
Hi:
Perhaps you want this:
f <-
On Fri, Feb 19, 2010 at 4:44 AM, Paul Hiemstra wrote:
> Jyotirmoy Bhattacharya wrote:
>>
>> I could not find any documentation of how dot-dot-dot works when used
>> as an argument in a function call (rather than as a formal argument in
>> a definition). I would appreciate some references to the ru
Hello All,
I am learning mixed effects logistic regression (lmer in lme4), and I am
having problems deciphering the goodness of fit function
plot.logistic.fit.fnc (languageR package). The only information I can find
is that this function plots observed proportions against mean predicted
probabiliti
maybe its not an array
like
m[1]=matrix(1:4,2,2)
m[2]=matrix(1:9,3,3)
.
.
.
m[k]=matrix(1:k^2,k,k)
likes
for (k in 1:n){
s=matrix(1:k^2,k,k)
}
how to store s like s[1], s[2] ... so that I can use it in other place?
thanks!
[[alternative HTML version deleted]]
_
On Fri, 19 Feb 2010, Jinfeng Liu wrote:
OS gmail.com> writes:
Hi,
I have some code I run interactively through the R interpreter and it works
fine. I then run it as a script with Rscript and I get an error. The error
is coming when Rscript builds a model matrix.
Output from Rscript with the e
It's not an array, but a list:
lapply(2:n, function(x) matrix(1:x^2,x))
On Sat, Feb 20, 2010 at 3:17 PM, song song wrote:
> maybe its not an array
>
> like
>
> m[1]=matrix(1:4,2,2)
> m[2]=matrix(1:9,3,3)
> .
> .
> .
> m[k]=matrix(1:k^2,k,k)
>
> likes
>
> for (k in 1:n){
> s=matrix(1:k^2,k,k)
> }
I'm trying to do some confirmatory factor analysis on some data. My SEM
model solves in 22 iterations, but when I try to look at the modification
indices, using mod.indices, I get the following error message:
Error in solve.default(hessian) :
system is computationally singular: reciprocal condit
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