Do read the posting guide.
I bet you get an error message, not a crash, and that you are running R in
non-interactive mode: not that you have told us what you are doing in any
detail.
No, actually the R interpreter goes out, like if the process was killed!
Note that if we open R and type
Pramote Khuwijitjaru wrote:
Is it possible to use t.test() do t-test when I have only two means,
sample size, two standard deviations ? (no raw data).
When you type 't.test.default', you get the source code of the t.test
function.
If you are conducting a t.test with var.equal=T, paired=F,
Graciliano M. P. wrote:
Do read the posting guide.
I bet you get an error message, not a crash, and that you are running R in
non-interactive mode: not that you have told us what you are doing in any
detail.
No, actually the R interpreter goes out, like if the process was
Jinsong Zhao wrote:
Dear all,
I hope to know how to compile the R help file in LaTeX format under
Windows 2000. The TeX/LaTeX system is TeXLive 2002, and the version of
R is 1.8.x.
See ?help, in particular look for its argument offline and the section
Details:
If 'offline' is
Hi!
The rpm is for emacs, not Xemacs.
ess is, as far as I know, contained in the sumo package
for Xemacs.
(I'm no user of Xemacs, so no guarantee)
Hth
detlef
On Fri, 13 Feb 2004 19:31:55 -0600
Barnet Wagman [EMAIL PROTECTED] wrote:
I'm trying to get R and ESS to work with Xemacs on a newly
Do you have this data set in any form? If yes, do you have it in
any electronic form? If yes, have you tried following relevant
suggestions in the manual on R Data Import/Export? [I got this as a
hot link from within R 1.8.1 help.start().]
hope this helps.
spencer graves
Ann
From: pallier [EMAIL PROTECTED]
To: Pramote Khuwijitjaru [EMAIL PROTECTED]
Subject: Re: [R] Beginner's question about t.test()
Date: Sun, 15 Feb 2004 10:48:05 +0100
Pramote Khuwijitjaru wrote:
Dear All,
I am doing some exercise in statistics textbook on comparison of two
experimental means. Is
Hello everyone,
I know that to calculate the linear regression between x and y, I
have to use the function lm.
But how to do if x and y have a standard deviation like in the
following example?
How to compute the chi square test?
Thank you,
E.
example:
x äx
5 2
13 4
17 4
23 6
y äy
6.3
Hello everyone,
I know that to calculate the linear regression between x and y I
have to use the function lm.
But how to do if x and y have a standard deviation like in the
following example?
How to compute the chi square test in this case?
Thank you,
Fulvio.
example:
x +- dx
5 2
13
I'm not certain what you are asking, but I wonder if you want
errors in X regression. If yes, have you considered the sem package
(structural equations modeling)?
If you don't already have this package, you can get it using the
download.packages under Windows or by following the
Actually, no. It's a data set that is used to teach Pearson's
correlation coefficient in a popular statistics textbook - Statistics
by Freedman, Pisani, et al.
It contains over a thousand measurements of son's and their father's
heights.
I would like to find it in electronic form so that I
I'm trying to learn to use manova(), and don't understand why none of
the following work:
data(iris)
fit - manova(~ Species, data=iris)
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
incompatible dimensions
fit - manova(iris[,1:4] ~ Species, data=iris)
Error
On Sun, 2004-02-15 at 12:37, Ann Loraine wrote:
Actually, no. It's a data set that is used to teach Pearson's
correlation coefficient in a popular statistics textbook - Statistics
by Freedman, Pisani, et al.
It contains over a thousand measurements of son's and their father's
heights.
Faraway's book titled Practical Regression and Anova using R,
with full text available online at:
http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf
refers to a data set, stat500, which compares midterm and final
grades. It can be used to illustrate similar concepts.
A google search
Ann Loraine wrote:
I'm looking for Pearson's father and son height data.
... It's a data set that is used to teach Pearson's
correlation coefficient in a popular statistics textbook - Statistics
by Freedman, Pisani, et al.
It contains over a thousand measurements of son's and
Marc Schwartz wrote:
...
Found it here:
http://stat-www.berkeley.edu/users/juliab/141C/pearson.dat
It consists of 1,078 pairs of father (col 1) and son (col 2) paired
data. Used to not only show Pearson correlation, but also used to
demonstrate Regression to the Mean, or as Galton called it,
Marc Schwartz wrote:
Found it here:
http://stat-www.berkeley.edu/users/juliab/141C/pearson.dat
It consists of 1,078 pairs of father (col 1) and son (col 2) paired
data. Used to not only show Pearson correlation, but also used to
demonstrate Regression to the Mean, or as Galton called
The details section of the help for lm() suggests the response
should either be a numeric vector or a matrix. And the help for
aov() says:
Fit an analysis of variance model by a call to 'lm' for each
stratum.
hope this helps,
Chuck Cleland
Michael Friendly wrote:
I'm trying to learn to
Dear R-friends,
has anyone developed a package for panel data or even dynamic panel data?
Thanks
Luca
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https://www.stat.math.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
Dear Sir,
I am a new user of R and I am doing a tast, which is: find the maximum
likelihood estimate of the parameter of Gaussian distribution for generated
100 numbers by using x=rnorm(100, mean=3, sd=1).
I tried to use following Maximum Likelihood function
fn-function(x)
According to:
http://www.spss.com/research/wilkinson/Publications/galton.pdf
there are actually two father/son height datasets. One was
collected by Galton. Apparently Pearson used that data but
also collected and used a second dataset together with Alice Lee
in roughly the same time
Hello,
Use
x=rnorm(100, mean=3, sd=1)
library(MASS)
fitdistr(x, normal)
mean sd
2.9331 0.99673982
(0.09967398) (0.07048015)
Hope this helps,
Shrieb
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[EMAIL PROTECTED] mailing list
If, however, you are more interested in general methods for
maximizing a likelihood function, I suggest you look at optim, work
the examples on the help page, etc.
hope this helps. spencer graves
[EMAIL PROTECTED] wrote:
Hello,
Use
x=rnorm(100, mean=3, sd=1)
library(MASS)
How does structural equation modeling relate to analysis of
panel data? If structural equation modeling would help, then you may
be interested in the sem package obtainable via
download.packages('sem') from R 1.8.1 under windows (or see the FAQs).
hope this helps, spencer graves
Or:
library(mle)
?mle
(which, BTW, uses optim() underneath.)
Also, for those not aware of it, fitdistr(x, normal) just computes mean(x)
and (n-1)/n * var(x) and return them. (I can't imagine any reason to do
otherwise for normal distribution.)
Best,
Andy
From: Spencer Graves
If,
I just noticed that the faraway package on CRAN contains
the stat500 dataset so you can just install that in the
usualy way, rather than googling around for faraway.zip .
Date: Sun, 15 Feb 2004 14:27:52 -0500 (EST)
From: Gabor Grothendieck [EMAIL PROTECTED]
To: [EMAIL PROTECTED], [EMAIL
G'day,
The following code gives a two-way factorial anova, which is completely
balanced. However when model.tables is called, the response is:
Design is unbalanced - use se.contrasts for se's, and SEs are not available.
Why doesn't R think my design is balanced and how do I convince it that it
From: Rolf Turner [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
CC: [EMAIL PROTECTED]
Subject: Re: [R] Beginner's question about t.test()
Date: Sun, 15 Feb 2004 11:23:26 -0400 (AST)
(a) You don't really need/want to look at t.test.default; your own
code --- to do t tests based on summary statistics
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