Guess what
I have no clue what i am doing/ meant to do with R. i have just begun statistics for
uni and all commands don't seem to work, they say syntax error, we are meant to put a
hist.r in but ? please help, step by step, to use this program i would turn it on (it
comes up rgui) is this wrong
On Sun, 27 Jul 2003 14:47:30 -0400
Jonathan Baron <[EMAIL PROTECTED]> wrote:
> I have always avoided missing data by keeping my distance from
> the real world. But I have a student who is doing a study of
> real patients. We're trying to test regression models using
> multiple imputation. We di
Erin Hodgess <[EMAIL PROTECTED]> wrote:
> What is the correct way to cite the manuals available
> online, please, such as "An Introduction to R"?
See the R-FAQ, page 7.
--
Philippe
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The model of assignment in R is pretty simple:
(variable) <- (expression)
Evaluate expression, store result in variable.
This is core syntax. A compiled implementation of this would
not involve any function call. The behaviour does not in any
way depend on the
Dear Helpers,
I would like to know if I can call other use R-method within Perl scripts.
I have not found any module in CPAN (Perl Archive).
Thanks,
Pierre-Olivier
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Dear R People:
What is the correct way to cite the manuals available online, please,
such as "An Introduction to R"?
Thanks again,
Erin
[EMAIL PROTECTED]
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Dear R People:
What is the correct way to cite help files for a function
in R, please?
(I'm referring to the online HTML documentation.)
Thank you in advance!
Sincerely,
Erin Hodgess
mailto: [EMAIL PROTECTED]
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At 14:14 27/07/2003 +0100, you wrote:
>Your anova call is a sequential anova, which you are misinterpreting.
>You can't conclude terms are significant or not if later terms are.
>You need to use type="marginal" to interpret things the way you do (except
>that I hope that does not drop the main eff
I have always avoided missing data by keeping my distance from
the real world. But I have a student who is doing a study of
real patients. We're trying to test regression models using
multiple imputation. We did the following (roughly):
f <- aregImpute(~ [list of 32 variables, separated by + si
Did you try:
hist(apply(cbind( runif(1000), runif(1000)), 1,
function(x) {sqrt(sum(x^2))}), main="adsf")
This worked for me in both S-Plus 6.1 and R 1.7.1.
hope this helps. spencer graves
Stephen Eglen wrote:
On the following plot:
hist(apply(cbind( runif(1000), runif(1000)), 1,
function(x)
Stephen Eglen wrote:
On the following plot:
hist(apply(cbind( runif(1000), runif(1000)), 1,
function(x) {sqrt(sum(x^2))}))
the title is three lines long and so has "Histogram of " at the start
of each line of the title. This is because the definition of main in
hist.default is main = paste("Hi
On the following plot:
hist(apply(cbind( runif(1000), runif(1000)), 1,
function(x) {sqrt(sum(x^2))}))
the title is three lines long and so has "Histogram of " at the start
of each line of the title. This is because the definition of main in
hist.default is main = paste("Histogram of", xname).
Your anova call is a sequential anova, which you are misinterpreting.
You can't conclude terms are significant or not if later terms are.
You need to use type="marginal" to interpret things the way you do (except
that I hope that does not drop the main effect and keep the interaction).
You also s
Dear Peter,
I'm sorry that I've taken a while to get back to you -- I was away for a
few days.
In the example that you give from Belsley (1991), the predictors are
essentially perfectly linearly related; for example
> summary(lm(x2a ~ x3a + x4a))
Call:
lm(formula = x2a ~ x3a + x4a
Dear All,
I am writing to ask a clarification on what R, and in particular lme, is
doing.
I have an experiment where fly wing area was measured in 4 selection lines,
measured at 18 and 25 degrees. I am using a lme model because I have three
replicated per line (coded 1:12 so I need not use getGro
On Sun, 27 Jul 2003 [EMAIL PROTECTED] wrote:
> Hi,
>
> one of the nice things about contour is that it labels all contour lines.
> contourplot only labels each particular elevation a single time.
> i.e., if there are two contour lines corresponding to z = 45, it will only
> label one of them.
>
Here's an example
data(swiss)
panel.bxp <- function(x, ...)
{
usr <- par("usr"); on.exit(par(usr))
par(usr = c(0, 2, usr[3:4]))
boxplot(x, add=TRUE)
}
pairs(swiss, diag.panel = panel.bxp, text.panel = function(...){})
You overlooked the `add=TRUE' argument, it seems.
On Sun, 27 Jul 2
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