Displaying 20 results from an estimated 2000 matches similar to: "estimate statement?"
2003 Jul 03
2
Bug in plotting groupedData-objects
Dear Experts,
May be the problem is still solved, however I tried to find the answer in
the archives:
I use:
> R.version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 7.1
year 2003
month 06
day 16
2002 Sep 23
2
R crash with internet2.dll
Hi,
I'm using:
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 5.1
year 2002
month 06
day 17
language R
and I would like to apply:
> update.packages()
trying URL
2002 Nov 07
4
Preferable contrasts?
Dear all,
I'm working with Cox-regression, because data could be censored.
But in this particular case not.
Now I have a simple example: PRO and PRE are (0,1) coded.
The response is not normal distributed.
We are interested in a model which could describe interaction.
But my results are depending strongly in the choose of the contrast option.
It is clear that there is some dependence in
2002 Oct 09
3
proc mixed vs. lme
Dear All,
Comparing linear mixed effect models in SAS and R, I found the following
discrepancy:
SAS R
random statement random subj(program); random = ~ 1 |
Subj
-2*loglik 1420.8 1439.363
random effects
variance(Intercept) 9.6033 9.604662
2002 Oct 09
3
Summary: proc mixed vs. lme
Summary: proc mixed vs. lme
The objective of this summary is to help people
to get more familiar with the specification of
random effects with proc mixed or lme.
Very useful are the examples of Ramon Littell's book:
"SAS System for Mixed Models (1996)"
(http://ftp.sas.com/samples/A55235)
The same data set's are kindly made available
by Douglas Bates in the
2005 Aug 05
3
Help, my RGui is speaking French!
Dear R-helpers,
First of all I have nothing against the French language!
But now my problem, yesterday I installed R 2.1.1
and I had to experience that my RGui is speaking French.
My windows locals is French (Switzerland).
I'm used to English and I want to reset my RGui to English.
I was seeking for the solution in the archives,
however not successfully.
By the way the searchable archives
2003 Dec 19
1
problem with rm.impute of the Design library
Hello,
I'm using:
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 8.1
year 2003
month 11
day 21
language R
and I get the following error with:
library(Design)
df <- list(pre=c(0,, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1,
2003 Sep 01
3
How to free memory used by R.
Hi,
I want to free memory used by R. The usage of rm and gc give no result. I'm
running an algorithm consuming a huge memory and I need to recover the
memory used by R between 2 call of my algorithm.
Thank you in advance for your help.
e-mail: sofiane.lariani at rdls.nestle.com
Sofiane Lariani
2002 Oct 21
4
mixed effect-models
Hello,
?
I believe that in R, it is not possible to analyze mixed effect-models
when the distribucion is not gaussian (p.e. binomial or poisson), isn't?
?
Somebody can suggest me alternative?
?
thanks
?
xavi
?
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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info",
2010 Jun 21
2
list() assigning the same value to two items
Hi everybody,
I'd like to have a list with two elements, where both elements have the same value:
z <- list(a=1, b=1)
If it happens, that I've to change the value, I've to assure that I change both. This is error prone. Hence, a better way to achieve this is to define:
tmp <- 1
z <- list(a=tmp, b=tmp)
Now, I'm wondering if it is possible to make this more compact:
z
2012 Jul 02
5
ggplot: dodge positions
Dear all,
I want to get a series of boxplots (grouped by two factors) and I want to overlay the original observations and the following code does almost what I want:
library(ggplot)
ddf <- data.frame(x=factor(rep(LETTERS[1:4], each=30)), y = runif(120,0,10), grp = factor(rep(rep(1:3, 10), 4)))
ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point()
Yet the position of the points
2002 Nov 13
1
building a formula for glm() with 30,000 independent vari ables
Dear Prof. Ripley,
you mention the theory of perceptrons.
Could you please point me to an introduction paper or book?
Thanks in previous,
Dominik
> -----Original Message-----
> From: ripley at stats.ox.ac.uk [mailto:ripley at stats.ox.ac.uk]
> Sent: dimanche, 10. novembre 2002 18:55
> To: Ben Liblit
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] building a formula for
2012 Oct 31
1
aggregate.formula: formula from string
Dear all,
I want to use aggregate.formula to conveniently summarize a data.frame. I have quiet some variables in the data.frame and thus I don't want to write all these names by hand, but instead create them on the fly. This approach has the advantage that if there will be even more columns in the data.frame I don't have to change the code.
I've hence tried to construct a formula
2012 Jul 03
2
ggplot2: legend
Dear all,
I produced the following graph with ggplot which is almost fine, yet I don't like that the legend for "Means" and "Observations" includes a line, though no line is used in the plot for those two (the line for "Overall Mean" on the other hand is wanted):
library(ggplot2)
ddf <- data.frame(x = factor(rep(LETTERS[1:2], 5)), y = rnorm(10))
p <-
2006 Jul 25
1
Multiple tests on repeated measurements
Dear R-helpers:
My question is how do I efficient and valid correct for multiple tests in a repeated measurement design:
Suppose we measure at two distinct visits with repeated subjects a treatment difference on the same variable.
The treatment differences are assessed with a mixed model and adjusted by two methods for multiple tests:
# 1. Method: Adjustment with library(multcomp)
2012 Dec 10
1
Sweep out control
Dear all,
Assume that I have the following data structure:
d <- expand.grid(subj=1:5, time=1:3, treatment=LETTERS[1:3])
d$value <- 10 ^ (as.numeric(d$treatment) + 1) + 10 * d$subj + d$time
d$value2 <- 100000 + d$value
where d$treatment == "C" stands for my control group. What I want to achieve now is to subtract the values corresponding to d$treatment == "C" from
2011 May 11
0
stats:::biplot.prcomp: Scaling, typo in the help file?
Dear all,
>From the documentation of biplot.prcomp:
scale: The variables are scaled by 'lambda ^ scale' and the
observations are scaled by 'lambda ^ (1-scale)' where
'lambda' are the singular values as computed by 'princomp'.
>From the source code of prcomp:
lam <- x$sdev[choices]
n <- NROW(scores)
lam <- lam * sqrt(n)
2010 Jul 12
1
Checking formulae: are lower order terms included
Dear all,
I have a very rudimental function which takes a vector of terms and returns a list of all possible models which can be made using the given terms. For example for the set c("1", "x", "y", "x:y") I'd get:
~ 1
~ x
~ y
~ x:y
~ 1 + x
~ 1 + y
~ 1 + x:y
~ x + y
~ x + x:y
~ y + x:y
~ 1 + x + y
~ 1 + x + x:y
~ 1 + y + x:y
~ x + y + x:y
~ 1 + x + y +
2006 Jul 11
2
Multiple tests on 2 way-ANOVA
Dear r-helpers,
I have a question about multiple testing.
Here an example that puzzles me:
All matrixes and contrast vectors are presented in treatment contrasts.
1. example:
library(multcomp)
n<-60; sigma<-20
# n = sample size per group
# sigma standard deviation of the residuals
cov1 <- matrix(c(3/4,-1/2,-1/2,-1/2,1,0,-1/2,0,1), nrow = 3, ncol=3, byrow=TRUE,
dimnames =
2003 Dec 20
0
Fw: Re: CAMPANHA NATAL SEM BAIXARIA - PARTICIPE!
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e =E9 verdade!!!!!!!!!!!!!
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