Dear Hadley,
You are a machine! Its way past late you should be relaxing man ;)
Here is what I hacked together. My question was how to pass in the colour
used to fill the dot/legend and the label for the legend entries.
test - qplot(x,y, data=some.data, size=chop(variance, n=4),
Delivered To: r-help@stat.math.ethz.ch
Time Stamp: Sat, 04 Aug 2007 01:54:39 -0700
solution.pdf
Description: Adobe PDF document
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Hello everybody,
I'm trying to predict a linear regression model but it does not work.
My Model: y = Worktime + Vacation + Illnes + Bankholidays
My modelmatrix is of dimension 28x4
Then I want to make use of the function predict because there
confidence.intervals are include.
My idea was:
Take a look at the package filehash. It allows you to work with large
objects in R (bigger than your RAM) by storing them on the disk. The
objects are represented as pointers in R and have a small footprint in
memory. You can load all of them in an environment and access them with the
$
Dear All,
Is there some package to do optimal control?
Thanks in advance,
Paul
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and
I think you need
predict(mod,newdate)
instead of
predict(y,newdate)
--- Maja Schröter [EMAIL PROTECTED] wrote:
Hello everybody,
I'm trying to predict a linear regression model but it does not work.
My Model: y = Worktime + Vacation + Illnes + Bankholidays
My modelmatrix is of
Hi,
I am sorry
I meant:
mod - lm(y~Worktime+Vacation+Illnes+Bankholidays)
newdate=data.frame(x=c(324,123,0.9,0.1))
predict(mod,newdate)
And get this error.
Yours,
Maja
Original-Nachricht
Datum: Sat, 4 Aug 2007 04:42:14 -0700 (PDT)
Von: Stephen Tucker [EMAIL
Hello R-gurus,
I'm trying to adjust different growth curves to a rather extensive dataset.
I wrote up a function to go through all of them, but am encountering a problem :
among the more than 1000 curves I have, obviously for some of them I encounter
conversion problems.
I'd like for my function
Dylan Beaudette wrote:
On Thursday 26 July 2007 10:45, Frank E Harrell Jr wrote:
Dylan Beaudette wrote:
On Thursday 26 July 2007 06:01, Frank E Harrell Jr wrote:
Note that even though the ROC curve as a whole is an interesting
'statistic' (its area is a linear translation of the
Here is an example using the builtin Loblolly data frame
mod - lm(height ~., Loblolly)
predict(mod, data.frame(age = 10, Seed = 301))
[1] 25.47510
On 8/4/07, Maja Schröter [EMAIL PROTECTED] wrote:
Hi,
I am sorry
I meant:
mod - lm(y~Worktime+Vacation+Illnes+Bankholidays)
See:
https://stat.ethz.ch/pipermail/r-help/2005-May/072035.html
On 8/4/07, GOUACHE David [EMAIL PROTECTED] wrote:
Hello R-gurus,
I'm trying to adjust different growth curves to a rather extensive dataset.
I wrote up a function to go through all of them, but am encountering a
problem :
On 04/08/2007 1:41 AM, zahid khan wrote:
I want to calculate the commulative sum of any numeric vector with the
following command but this following command does not work comsum
My question is , how we can calculate the commulative sum of any numeric
vector with above command
In English
On 8/4/07, Emilio Gagliardi [EMAIL PROTECTED] wrote:
Dear Hadley,
You are a machine! Its way past late you should be relaxing man ;)
Thanks :)
Here is what I hacked together. My question was how to pass in the colour
used to fill the dot/legend and the label for the legend entries.
test -
Hello All,
I am new to R, and I am writing to seek your advice on how best to use it to run
R's various normality tests in an automated way.
In a nutshell, my situation is as follows. I work in an investment bank, and my
team and I are concerned that the assumption we make in our models that the
Hi!
I am using R to process some community survey data. Several item responses are
recorded via a 7-point Likert-Scale. As I have coded the responses, 1
represents high agreement, and 7 high disagreement. This of course impacts the
coefficients in a linear regression (of example agreement to
Will ?recode in the car package do what you want?
x - 1:4
recode(x, 1='4';2='3' ;3='2'; 4='1')
--- Alexis Delevett [EMAIL PROTECTED] wrote:
Hi!
I am using R to process some community survey data.
Several item responses are recorded via a 7-point
Likert-Scale. As I have coded the
hi sir, I'm starting on statistics and I'd like to
know if you could clarify for me the difference
between a time series model (AR(p) for example) and a
regular regression model? is a AR(p) the same as a
regression model having the lag(p) variables as
predictors? ie:
Y(t) = a + b1 Y(t-1) + ...
On 04-Aug-07 16:42:23, John Kane wrote:
Will ?recode in the car package do what you want?
x - 1:4
recode(x, 1='4';2='3' ;3='2'; 4='1')
Is thre a problem with just using
New - (8 - Old)
??
Ted.
--- Alexis Delevett [EMAIL PROTECTED] wrote:
Hi!
I am using R to process some
Alexis Delevett adelevet at yahoo.com writes:
I am using R to process some community survey data. Several item responses are
recorded via a 7-point
Likert-Scale. As I have coded the responses, 1 represents high agreement, and
7 high disagreement. This
of course impacts the coefficients in a
GOUACHE David D.GOUACHE at arvalisinstitutduvegetal.fr writes:
...
This is my original function :
comp.fit.2-function(tab)
{
fit.log-nls(surf.vert.tot ~ 100/(1+exp(((log(81))/a)*(sum.T.levee-b))),
start=list(
...
I've thought of just storing the 3 model results in a list, and then
Resolution:
To avoid bugs in code due to typos of data frame
column names that can occur when using the
'$' extractor,
foo - data.frame(Filename = c(a, b))
foo$FileName
NULL
a past alternative was to use
foo[, FileName]
instead of
foo$FileName.
However, this too now silently
Hi Alexandre,
Alexandre Christie wrote:
I am new to R, and I am writing to seek your advice on how best to use it to
run
R's various normality tests in an automated way.
In a nutshell, my situation is as follows. I work in an investment bank, and
my
team and I are concerned that the
Hi R Gurus:
I know that plot has extra things like plot.ts, plot.lm
How would i find out all of them, please?
Thanks,
Edna
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I'm sorry, I pressed a wrong button and
sent an incomplete answer. Below follows
the completed e-mail.
I am new to R, and I am writing to seek your advice on how best to use it to
run
R's various normality tests in an automated way.
In a nutshell, my situation is as follows. I work in an
On 8/2/07, steve [EMAIL PROTECTED] wrote:
I am using ubuntu. When I tried install.packages(RGtk2) it downloaded
and seemed to compile successfully:
** building package indices ...
* DONE (RGtk2)
The downloaded packages are in
/tmp/Rtmp57id87/downloaded_packages
However, when I
Deat R users,
Could you please help me with how to get standard errors (or asymptotic
variances) of marginal effects of multinomial logit model?
So far I do have estimated coeficients of multinomial logit (using multinom
function) and covariance matrix of coefficients. I did also manage to
All:
I am trying to fit a mixture of 2 normals with 110 million observations. I
am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I
continue to run out of memory. Does anyone have any suggestions.
Thanks so much,
Tim
[[alternative HTML version deleted]]
Dear Listers,
I am drawing a plot of two density curves, for male and female incomes. I would
like to shade/hatch/color (whatever) the areas under the curves which are
distinctive for each gender. This is the code I have tried so far:
m - density(topmal.d$y, bw = sj)
f - density(topfem.d$y,
'surveyNG' version 0.3 is on CRAN.
This package provides experimental features for survey analysis that may be
incorporated in the survey package in the future. Currently there are
facilities for analysis of complex surveys using (possibly large) data sets
stored in a SQLite database.
Thank you John, that should definitely do the trick!
Furthermore, I believe that this will help me research
the available resources more effectively in the future
-- instead of researching a specific problem (e.g.,
invert Likert-Scale items), I might try starting out
with a more general problem
I must admit I had never realised this so thanks to Monica for raising it.
Round-to-even is used for statistical reasons and there is some point as it
obviously reduces bias. But why should the decision be to round to the
nearest even number? rounding to the nearest odd number would be
Hi!
I had already been greatful about John Kane's response
(using the car library's recode function), and I would
have gone with that -- along with the promise to
research any questions I may have in the future more
intelligently.
Now I'm thinking it's not a matter of researching, but
of plain
Alexis and John,
To reverse a Likert like item, subtract the item from the maximum
acceptable value + the minimum acceptable value,
That is, if
x - 1:8
xreverse - 9-x
Bill
At 2:16 PM -0700 8/4/07, Alexis Delevett wrote:
Thank you John, that should definitely do the trick!
Furthermore, I
On 04-Aug-07 21:57:28, John Logsdon wrote:
I must admit I had never realised this so thanks to Monica for
raising it.
Round-to-even is used for statistical reasons and there is some
point as it obviously reduces bias. But why should the decision
be to round to the nearest even number?
I have a data.frame with ~100 columns and I need a barplot for each column
produced and saved in some directory.
I am not sure it is possible - so please help me.
this is my loop that does not work...
vars - list (substitute (G01_01), substitute (G01_02), substitute (G01_03),
substitute
On 04-Aug-07 22:02:33, William Revelle wrote:
Alexis and John,
To reverse a Likert like item, subtract the item from the maximum
acceptable value + the minimum acceptable value,
That is, if
x - 1:8
xreverse - 9-x
Bill
A few of us have suggested this, but Alexis's welcome for the
On Sat, 4 Aug 2007, Tim Victor wrote:
All:
I am trying to fit a mixture of 2 normals with 110 million observations. I
am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I
continue to run out of memory. Does anyone have any suggestions.
If the first few million
methods(plot)
--- Edna Bell [EMAIL PROTECTED] wrote:
Hi R Gurus:
I know that plot has extra things like plot.ts, plot.lm
How would i find out all of them, please?
Thanks,
Edna
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Duncan,
Thanks for the update on the update. I downloaded and installed it and
receive the following messages on installation and require(RSPython).
Also, checked to make sure python was on my path and working and it is
(also below). I am running openSuse 10.2. sessionInfo() follows as well.
You guys come up with some amazing stuff! Of course,
however, I'm not exactly able to more than just
acknowledge your input at some point... I feel I'm
lacking some vital basics. Be that as it may, I
thought I'd let you know what's happened to your input
on my side:
glm(recode(PLANMOV,
thank you!
On 8/4/07, Gabor Grothendieck [EMAIL PROTECTED] wrote:
The methods that an S3 generic function has are found via
methods(plot)
See
?methods
?getAnywhere
?:::
On 8/4/07, Edna Bell [EMAIL PROTECTED] wrote:
Hi R Gurus:
I know that plot has extra things like plot.ts,
Donatas G. wrote:
I have a data.frame with ~100 columns and I need a barplot for each column
produced and saved in some directory.
I am not sure it is possible - so please help me.
this is my loop that does not work...
vars - list (substitute (G01_01), substitute (G01_02), substitute
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