On Jan 5, 2011, at 3:19 PM, Anthony Staines wrote:
Dear colleagues,
This may be a question with a really obvious answer, but I
can't find it. I have access to a large file with real
medical record identifiers (mixed strings of characters and
numbers) in it. These represent medical events
Hi,
Suppose I have
x = parse(text =
{y=50+50+50#'asfasf'
}
)
now x is an expression with some src attributes.
x
expression({y=50+50+50#'asfasf'
})
attr(,srcfile)
text
attr(,wholeSrcref)
{y=50+50+50#'asfasf'
}
My question is, how can I get my string back (the string passed to
parse() as the
With xx as your data.frame
library(ggplot2)
qplot(a, id, data=xx, color=b)
--- On Wed, 1/5/11, ANJAN PURKAYASTHA anjan.purkayas...@gmail.com wrote:
From: ANJAN PURKAYASTHA anjan.purkayas...@gmail.com
Subject: [R] Plotting colour-coded points
To: r-help@r-project.org
Received: Wednesday,
On Jan 5, 2011, at 4:47 PM, Yihui Xie wrote:
Hi,
Suppose I have
x = parse(text =
{y=50+50+50#'asfasf'
}
)
now x is an expression with some src attributes.
x
expression({y=50+50+50#'asfasf'
})
attr(,srcfile)
text
attr(,wholeSrcref)
{y=50+50+50#'asfasf'
}
My question is, how can I get
On 11-01-05 4:47 PM, Yihui Xie wrote:
Hi,
Suppose I have
x = parse(text =
{y=50+50+50#'asfasf'
}
)
now x is an expression with some src attributes.
x
expression({y=50+50+50#'asfasf'
})
attr(,srcfile)
text
attr(,wholeSrcref)
{y=50+50+50#'asfasf'
}
My question is, how can I
On Jan 5, 2011, at 2:16 PM, Kevin Ummel wrote:
Two posts in one day is not a good day...and this question seems
like it should have an obvious answer:
I have a matrix where rows are unique combinations of 1's and 0's:
combs=as.matrix(expand.grid(c(0,1),c(0,1)))
combs
Var1 Var2
[1,]
I'm trying to identify patterns among various paths like the following:
http://i.imgur.com/bQPI3.png
If I plot these, I can observe intuitively two different patterns: a front
loaded (1 and 3) and a backloaded (2,4) progress path:
http://i.imgur.com/L5qwZ.png
I have thousands of observations
The output with all three fits gives you 2 comparisons, fit1 vs. fit2 and fit2
vs. fit3.
So using an alpha of 0.05, the 0.99 p-value is comparing model 2 (fit2) and
model 3 (fit1) and testing the null that they fit equally well with the
differences being due to random chance. The p-value is
Santanu -
If you have sas installed on your computer, you may find using
the sas.get function of the Hmisc package useful.
If the only message that read.ssd produced was Sas failed, it
would be difficult to figure out what went wrong. Usually the
location of the log file, which would
On Jan 5, 2011, at 5:24 PM, Benjamin Polidore wrote:
I'm trying to identify patterns among various paths like the
following:
http://i.imgur.com/bQPI3.png
If I plot these, I can observe intuitively two different patterns: a
front
loaded (1 and 3) and a backloaded (2,4) progress path:
Hi, I know I can do this with a for loop with strsplit and grep, but is
there more efficient way?
Given a data dataframe (input) and a category column (lst),
input
item loc
1 item 1.1: earnings sep item 1.2: w2 sep shelf 1
2
Sorry I should have included the r code for the dataframes for ease of
test:
input - rbind(data.frame(item=item 1.1: earnings sep item 1.2: w2
sep, loc=shelf 1),
data.frame(item=item 1.3: deductions sep, loc=drawer 1),
data.frame(item=item 1.1: earnings sep, loc=shelf 2))
lst
Murray Jorgensen m...@stats.waikato.ac.nz wrote:
I'm going to try my hand at converting some Fortran programs to R. Does
anyone know of any good articles giving hints at such tasks? I will post
a selective summary of my gleanings.
Presuming you don't mean .Fortran(), I have gone both ways.
On Tue, Jan 4, 2011 at 4:02 PM, Murray Jorgensen
m...@stats.waikato.ac.nz wrote:
I'm going to try my hand at converting some Fortran programs to R. Does
anyone know of any good articles giving hints at such tasks? I will post a
selective summary of my gleanings.
If the code uses
I see. Thanks!
Regards,
Yihui
--
Yihui Xie xieyi...@gmail.com
Phone: 515-294-2465 Web: http://yihui.name
Department of Statistics, Iowa State University
2215 Snedecor Hall, Ames, IA
On Wed, Jan 5, 2011 at 4:10 PM, Duncan Murdoch murdoch.dun...@gmail.com wrote:
On 11-01-05 4:47 PM, Yihui Xie
On Wed, 5 Jan 2011, Benjamin Polidore wrote:
I'm trying to identify patterns among various paths like the following:
http://i.imgur.com/bQPI3.png
If I plot these, I can observe intuitively two different patterns: a front
loaded (1 and 3) and a backloaded (2,4) progress path:
Hello,
I've got a question concerning the usage of robust standard errors in
regression using lm() and exporting the summaries to LaTeX using the
memisc-packages function mtable():
Is there any possibility to use robust errors which are obtained by
vcovHC() when generating the LateX-output
I assume you mean PDFs generated by R. This topic has been addressed
here: http://tolstoy.newcastle.edu.au/R/e2/help/07/05/17475.html
I have always just output the graphics then used an external PDF
program (like Preview on the Mac) to do changes in file type, size
reductions, etc.
Andrew
I always use apsrtable in the apsrtable package, which allows you to
specify a vcov matrix using the se option. The only trick is that
you have to append it to your model object, something like this:
fit=lm(y ~ x)
fit$se=vcovHC(fit)
apsrtable(fit, se=robust)
Andrew Miles
On Jan 5, 2011,
On Thu, 6 Jan 2011, Jan Henckens wrote:
Hello,
I've got a question concerning the usage of robust standard errors in
regression using lm() and exporting the summaries to LaTeX using the
memisc-packages function mtable():
Is there any possibility to use robust errors which are obtained by
Hello,
I want to save a pdf plot using Cairo, but the canvas of the saved file
seems too large when compared to the actual plotted area.
Is there a way to control the relation between the canvas size and the size
of actual plotting area?
Thanks in advance, and best regards,
Eduardo Horta
On Jan 5, 2011, at 9:38 PM, Eduardo de Oliveira Horta wrote:
Hello,
I want to save a pdf plot using Cairo, but the canvas of the saved
file
seems too large when compared to the actual plotted area.
Is there a way to control the relation between the canvas size and
the size
of actual
Something like this:
u=seq(from=-pi, to=pi, length=1000)
f=sin(u)
Cairo(example.pdf, type=pdf,width=12,height=12,units=cm,dpi=300)
par(cex.axis=.6,col.axis=grey,ann=FALSE, lwd=.25,bty=n, las=1, tcl=-.2,
mgp=c(3,.5,0))
xlim=c(-pi,pi)
ylim=round(c(min(f),max(f)))
On Jan 5, 2011, at 10:35 PM, Eduardo de Oliveira Horta wrote:
Something like this:
u=seq(from=-pi, to=pi, length=1000)
f=sin(u)
Cairo(example.pdf, type=pdf,width=12,height=12,units=cm,dpi=300)
par(cex.axis=.6,col.axis=grey,ann=FALSE, lwd=.25,bty=n, las=1,
tcl=-.2, mgp=c(3,.5,0))
On Wed, Jan 5, 2011 at 7:35 PM, Eduardo de Oliveira Horta
eduardo.oliveiraho...@gmail.com wrote:
Something like this:
u=seq(from=-pi, to=pi, length=1000)
f=sin(u)
Cairo(example.pdf, type=pdf,width=12,height=12,units=cm,dpi=300)
par(cex.axis=.6,col.axis=grey,ann=FALSE, lwd=.25,bty=n, las=1,
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