for a program that provides some future, and of course I
want some background on what I am doing (and what not). Could you
help with some hints, experiences, and recommendations?
Thank you.
Regards
*S*
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on a mailing list or newsgroup appropriate for such
issues?
Thanks for your tips.
Regards, *S*
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-apple-darwin9.8.0
arch i386
os darwin9.8.0
system i386, darwin9.8.0
status
major 2
minor 12.2
year 2011
month 02
day25
svn rev54585
language R
version.string R version 2.12.2 (2011-02-25)
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, can anybody explain this?! (Why is x[1]^(1/3)=y[1]=NaN, but
-8^(1/3)=-2?)
-8^(1/3) == (-8)^(1/3) # NA
-8^(1/3) == -(8^(1/3)) # TRUE
Thx!!!
You're welcome.
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,
they line up with the right-side of each bar.
Try to set the parameter: adj=.5 (see ?par). HTH, *S*
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in the model.
Hence the two models are not directly comparable, so why should the deviance be?
Bill Venables.
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of
Sascha Vieweg [saschav...@gmail.com]
Sent: 09 April 2011 01:14
To: r-help@r
, since glm expects a
formula object:
vars - names(x)
f - as.formula(paste(vars[1], ~, paste(vars[-1], collapse=+),
collapse=))
glm(f, data=x)
Of course, the pastes in the f-line need to be adjusted in each
loop.
HTH, *S*
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of the pseudo R-squares
with function pR2(), package pscl.)
Could you give good advice?
Thanks
*S*
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, the
zeros in the matrix may cause problems with other operations than
sum.
Thanks, *S*
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On 11-03-14 21:09, David Winsemius wrote:
On Mar 14, 2011, at 3:52 PM, Sascha Vieweg wrote:
Hello, I need some form of a permutative operation on a numeric vector x
x = (v1, v2, v3, ..., vN)
that produces
x.r = (v1, v1+2, v1+v2+v3, ... v1+v2+...+vN)
If the operation is sum() I can run
x
=.8
)
I like to produce this plot with package ggplot2, but I have
just discovered it and don't know where to start. It would be
great if somebody could give me a starting point with code for
that particular task.
Thanks, *S*
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Hello, I am looking for an elegant one-liner for the following
operation:
x - rnorm(10)
y - runif(10)
c(mean(x)-mean(y), mean(x)+mean(y))
I thought about
apply(data.frame(x, y), 2, mean)
but I don't know how to apply the +- operation on the result of
apply. Thanks, *S*
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code. Then you could start
here:
vstr - sample(letters, sample(1:20, 1), repl=F)
df - as.data.frame(matrix(ncol=length(vstr), dimnames=list(NULL,
vstr)))
str(df)
HTH, *S*
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a one-liner, however, this should work
strata[atsub2==1] - R
strata[atsub2=5 | atsub2=27] - M
# change statements to prevent overwriting
strata[atsub40] - Li
strata[atsub420 | atsub620] - La
summary(strata)
HTH, *S*
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understanding: Why not
as.character(Vect)
?
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and provide
On 11-02-07 19:21, Sascha Vieweg wrote:
Hello, knowing that some index y, with y(341)=2, SE=3, is t-distributed, I
(think I) can find an appropriate (left/one-sided) p-value with
R: y - 2
R: yse - 3
R: (p - 1-pt(y/yse, df=341))
Now, some simulation resulted in the non-parametric
(21277)
How can I find the p-value of y then? Simply counting? Thanks, *S*
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()' by
default return already-calculated statistics?
Thanks for hints and help, *S*
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[, area]==i] - ass[ ass[, area]==i , strategy]
}
and then binding the new variable to the data frame
R: str(df2 - as.data.frame(cbind(df, strategy=x)))
which works fine. My question is whether there is a more elegant
way?
Thanks, *S*
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On 11-01-28 19:55, Sascha Vieweg wrote:
[...]
Besides Emacs and the R built-in editor, could you recommend a
good editor for Windows, even some commmercial for a small
price?
Thanks for all your answers and experiences. You helped a lot.
*S
did not provide a cue.
Thanks for hints, *S*
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and updates,
*S*
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and provide commented, minimal, self
On 11-01-28 17:37, Sascha Vieweg wrote:
I am wondering if there's any news about reading ODS files directly. ODS
files are the spreadsheet files produced by OpenOffice.org. Currently, I
export sheets in these files to csv files, one for each sheet. However, it
would be much more convenient
built-in editor, could you
recommend a good editor for Windows, even some commmercial for a
small price? (For a comparison, TextMate for OS X is 35 USD and
does a great job on all plain text and code related issues, not
only R.) Thanks, *S*
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On 11-01-27 15:12, Sascha Vieweg wrote:
On 11-01-27 13:16, Ben Boyadjian wrote:
Hello I am trying to solve these problems and I am not allowed to use
loops or ifs.
1st Question
My first question is that I have generated 100 random numbers from the
uniform distribution then
A)add only
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environment (things like
passing shell commands from R to my system or other interpreters),
easy graphics etc.
If that helps a bit ...
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On 11-01-20 17:05, Sascha Vieweg wrote:
I run a multinomial regression on a data set with an outcome that has three
values. First, I build an initial model, b.mod. Then I run a loop to
bootstrap the coefficients. For the initial model, using predict(), I can
print the wrong/false predictions
, minimal, self-contained, reproducible code.
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recommendation is (still) also:
Hays, W. L. (1994). Statistics. Belmont, CA: Wadsworth. Depending
on your German skills (if at all) THE Bortz could be a good
textbook, Bortz, J. (2005). Statistik für Human- und
Sozialwissenschaftler (6. Aufl). Berlin: Springer.
Good luck, *S*
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is wrong and why.
Ref.: Bortz, J. (2005). Statistik für Human- und
Sozialwissenschaftler (6. Aufl). Berlin: Springer.
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