> Best Regards,
> Ashim
>
> PS : My apologies for emailing my query to this list. Can you tell me the
> names of a few (active) statistics help list ?
stats.stackexchange.com
-- Bert
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
Please allow me to rephrase myquery.
> model.tables(model,"m")
Tables of means
Grand mean
28.14815
wool
wool
A B
31.037 25.259
tension
tension
L M H
36.39 26.39 21.67
wool:tension
tension
wool L M H
A 44.56 24.00 24.56
B 28.22 28.78 18.78
>
The abov
I will recommend my book.
http://www.springer.com/us/book/9781493921218
Sent from my iPhone
> On Dec 2, 2016, at 11:07, peter dalgaard wrote:
>
> Also notice that there are relatively inexpensive books. Mine and Bob
> Muenchen's for instance, which tackle your situation from somewhat differen
> On Dec 2, 2016, at 9:09 AM, David Winsemius wrote:
>
>>
>> On Dec 2, 2016, at 6:16 AM, Ashim Kapoor wrote:
>>
>> Dear Pikal,
>>
>> All levels except the interactions are compared to the Intercept. I'm a
>> little confused as to what's going on in interaction terms eg. the cell
>> wool B :
Thanks Daniel for the info,
My principal problem is that I have the script on R and Works fine.
But When I copy on Power BI, it Didn´t work.
I would like to know if someone have worked with the combination of Mongo + R +
PowerBI and had the same probllem.
Thanks!
-Mensaje original-
I have a vector of values, and have written a function that takes each
value in that vector, generates a normal distribution with that value as
the mean, and then finds the interval at different levels. However, these
intervals don't seem to be right (too narrow).
### CREATE PREDICTION INTERVALS
> On Dec 2, 2016, at 6:16 AM, Ashim Kapoor wrote:
>
> Dear Pikal,
>
> All levels except the interactions are compared to the Intercept. I'm a
> little confused as to what's going on in interaction terms eg. the cell
> wool B : tension M. It's mean is :
> 28.78 and 28.78 - 44.56 = -15.78 != 21.1
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Dec 2, 2016 at 8:37 AM, Paul Bernal wrote:
> Hello everyone,
>
> I have installed R version 3.3.2 (64 bit)
Hello everyone,
I have installed R version 3.3.2 (64 bit) but SPSS Modeler (version 16.0)
requires R version 2.15.2 (which is obviously pretty old).
Would it cause any problem if I have two different R versions installed in
my computer? Can I have both versions 3.3.2 and 2.15.2? Any consideration
Also notice that there are relatively inexpensive books. Mine and Bob
Muenchen's for instance, which tackle your situation from somewhat different
perpectives. Bob's is very specifically translating from SAS/SPSS to R, mine is
more like "here's how to do X using R". There are also other players
Yes -- and probably much more.
https://cran.r-project.org/web/views/
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, Dec 1, 2016 at 1:33
Richard,
Thanks, Have not previously used the HH package, but looks as if it
contains many useful tools. Will check out your book also.
Best regards,
James
On Thu, Dec 1, 2016 at 10:18 PM, Richard M. Heiberger wrote:
> James,
>
> Please look at the maiz example, the last example in ?MMC
> help
Dear Pikal,
All levels except the interactions are compared to the Intercept. I'm a
little confused as to what's going on in interaction terms eg. the cell
wool B : tension M. It's mean is :
28.78 and 28.78 - 44.56 = -15.78 != 21.111.
It's something like 44.56 (intercept) -16.333 (wool B) -.20.55
Hi,
sadly it does not work either, because my index (x axis) is an atomic
vector.
Error Message: $ operator is invalid for atomic vectors
I think I have to stick to displaying the confidence intervals with
straight lines (ablines) , instead of a shaded area (polygon)
Thank you so much for your he
Hi
You probably could get better answer from experts but it has something to do
with contrasts.
?contrasts
Number 44.556 is mean for wool A and tension L and this is the level to which
every other level is compared.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun.
Hi
You can find overview of R capabilities here.
https://cran.r-project.org/web/views/
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
> hotproje...@nyc.rr.com
> Sent: Thursday, December 1, 2016 10:33 PM
> To: r-help@r-project.org
> Sub
Apologies for posting a possibly package-specific question, but I'm not sure
whether this is an R or rstan ussue.
Running rstan under R 3.1.1 in windows 10 I get the well-known error
"Compilation ERROR, function(s)/method(s) not created!
C:/Rtools/mingw_64/bin/g++: not found"
The cause on my sy
Hang on, maybe you mean something like this:
erupt_dens<-density(faithful$eruptions)
plot(erupt_dens,ylim=c(0,0.65))
dispersion(erupt_dens$x,erupt_dens$y,ulim=erupt_dens$y/5,
type="l",fill="lightgray",interval=TRUE)
lines(erupt_dens)
Jim
On Fri, Dec 2, 2016 at 9:36 PM, Jim Lemon wrote:
> In o
In order to display a polygon, you need x/y pairs for each point. If
you just want a rectangle, you only need four x/y pairs, e.g.:
plot(0,xlim=x(2.44,2.57),ylim=c(0,1),type="n")
polygon(c(2.44,2.57,2.57,2.44),c(0,0,1,1),col="lightgray")
Now if you have a series of x values and want to display a
Thank you,
this seems to work, but it is not exactly what I need (it indeed looks
great, but a bit beyond my understanding)
I just need a shaded area between 2.44 to 2.57 along the x-axis - a
polygon inserted into my density plot (and not a confidence line along a
scatter plot like your suggeste
Hi Elysa,
I think you are going a bit off course in your example. Try this and
see if it is close to what you want:
data<-rnorm(100)+runif(100,0,15)
smu_data<-supsmu(1:100,data)
rollfun<-function(x,window=10,FUN=sd) {
xlen<-length(x)
xout<-NA
forward<-window%/%2
backward<-window-forward
for(i
Hi, thank you!
I've constructed the upper and lower bounds with
a <- 2.505766
s <- 0.7789832
n <- 607
error <- qnorm(0.975)*s/sqrt(n)
left <- a-error
right <- a+error
left
right
Now, I have the numbers I need, but I have no idea how to plot them. I was
thinking of using a polygon, but som
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