Dear all,
Being a newbie to R, I've trawled through many old posts on this list
looking for a solution to my problem, but unfortunately couldn't quite
figure it out myself. I'd be very grateful if someone here on this
list could perhaps help me out.
I have a lattice plot with several panels and w
Hi there,
this is probably simple but I can't seem to figure it out by myself...
I have two dataframes (df.1 and df.2):
df.1 <- data.frame(year=factor(rep(1:3,3)), level=rep(letters[1:3],3),
number=c(11:19))
df.2 <- data.frame(year=factor(c(1:5)), number=c(21:25))
I would like to create a new v
Great, many thanks to Scott and Petr!
2011/4/27 Petr PIKAL :
> Hi
>
>
> r-help-boun...@r-project.org napsal dne 27.04.2011 13:30:13:
>
>> Hi there,
>>
>> this is probably simple but I can't seem to figure it out by myself...
>>
>> I have two dataframes (df.1 and df.2):
>>
>> df.1 <- data.frame(y
hi there,
I have a list of 5 identical dataframes:
mydf <- data.frame(x=c(1:5), y=c(21:25))
mylist <- rep(list(mydf),5)
and a factor variable with 5 levels:
foo <- c(letters[1:5])
foo <- as.factor(foo)
Question:
I'd like to add a new variable to each dataframe in the list, each
containing onl
hello,
the following questions will without doubt reveal some fundamental
ignorance, but hopefully you can still help me out.
I'd like to bootstrap a coefficient gained on the basis of the
coefficients in a logistic regression model (the mean differences in
the predicted probabilities between two
Hello all,
This question concerns the function Dotplot from the Hmisc package.
My aim is to compare values between groups in each panel of the
Dotplot, with the values of different groups clearly distinguishable
by different symbols. All lines and symbols should be coloured in
black.
Before addi
1.1 (2010-05-31) via Emacs (ESS) on a
Windows machine and couldn't quite get your solution to work (the
graph didn't display any text, but neither did R give any error
messages). Perhaps I don't have the right version of the lattice
package?
Regards,
eh
2011/1/28 Deepayan Sarkar :
&
Hello again,
many thanks for your help! after upgrading the lattice package to the
latest version, your solution works perfectly.
Deepayan Sarkar wrote:
On Fri, Jan 28, 2011 at 5:21 PM, E Hofstadler wrote:
Hello Deepayan,
many thanks for your reply and help. Does this solution with
Hello!
I'm thinking of applying a censored regression model to
cross-sectional data, using either the tobit (package survival) or the
censReg function (package censReg). The dependent variable is left and
right-censored.
My hopefully not too silly question is this: I understand that
heteroskedast
Thanks for your response!
Terry Therneau wrote:
I assume you mean "survreg" in the survival package. It's a shame
that censored gaussian regression has earned a unique label (tobit) that
makes people think it is something so very different.
(yes, what I meant was the function tobit() from t
Dear list,
My question to follow is not a pure R question but contains also a
more general statistical/econometrical part, but I was hoping that
perhaps someone knowledgable on this list could offer some help.
I have estimated a binary logistic regression model and would like to
calculate average
Hi there,
Could someone help me with the following programming problem..?
I have written a function that works for my intended purpose, but it
is quite closely tied to a particular dataframe and the names of the
variables in this dataframe. However, I'd like to use the same
function for different
ier to translate based on column names, as the
> column names are now used as such.
>
> HTH,
>
>
> Nick Sabbe
> --
> ping: nick.sa...@ugent.be
> link: http://biomath.ugent.be
> wink: A1.056, Coupure Links 653, 9000 Gent
> ring: 09/264.59.36
>
> -- Do Not Disapprov
a 'name'.
Sorry about that, I can see how my variable names were somewhat confusing.
Many thanks once again!
>
>
>
> -Original Message-
> From: irene.p...@googlemail.com [mailto:irene.p...@googlemail.com] On Behalf
> Of E Hofstadler
> Sent: vrijdag 1 april 2
Hello there,
I have a linear regression model for which I estimated
heteroskedasticity-robust (Huber-White) standard errors using the
coeftest function
in the lmtest-package.
Now I would like to inspect the predicted values of the dependent
variable for particular groups and include a confidence
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