Sebastien:
The linked post is unclear: two of the rows have the same age, so
should there be 10 boxplots for the 10 rows or 9 for the 9 different
ages? I assumed the latter, as otherwise how could one disciminate
rows with the same age that have overlapping values?
For lattice, I just used age as
Yes, this is exactly what the panel function
panel.bwplot.intermediate.hh
along with the
position()
function in the HH package was designed for.
Continuing with the example in the linked stackoverflow
df <- structure(list(X1 = c(67.0785968921204, 45.5968692796599,
36.9528452430474,
59.016
Hi,
Can the boxplot design illustrated in the post
(http://stackoverflow.com/questions/39849459/how-to-create-boxplots-with-a-continuous-x-axis-in-r)
be reproduced with lattice or a lattice-derived function?
Thank you
Sebastien
__
R-help@r-project.
Hi
The following is a bit customised to your example, but maybe if there's
no other way ...
library(grid)
## Go down to the viewport that lays everything out
downViewport("plot_01.toplevel.vp")
## Eyeball the widths and heights (the "null"s are the plot regions)
## current.viewport()$layout$wi
On Wed, 22 Feb 2017 09:57:00 +
"T.Riedle" wrote:
> Dear all,
>
> I have not received any response on this email. Is there anybody who
> can help me?
>
> I want to run an impulse response analysis using the vars() package.
> The code looks as follwows.
>
>
> # list of class varest
> varest
Hi Andre,
As far as I am aware, merges can only be accomplished between two data
frames, so I think you would have to do it one by one. It is probably
possible to program this to operate on your list of data frames, but I
suspect that it would take as much time as a bit of copying and
pasting. If y
Hi Andre,
This might do it:
A<-data.frame(c("c", "d", "e"),4.4:6.8,c(1,2,3))
colnames(A) <- c ("Family", "NormalizedCount", "Hits")
B<-data.frame(c("c", "f", "a"),c(3.2,6.4, 4.4), c(1,4,3))
colnames(B) <- c ("Family", "NormalizedCount", "Hits")
C<-data.frame(c("q", "o", "f"),c(7.2,9.4, 41.4), c(10
Dear R users,
I have the following dataframes (A, B, and C) stored in a list:
A= data.frame(c("c", "d", "e"),4.4:6.8,c(1,2,3))
colnames(A) <- c ("Family", "NormalizedCount", "Hits")
A
B= data.frame(c("c", "f", "a"),c(3.2,6.4, 4.4), c(1,4,3))
colnames(B) <- c ("Family", "NormalizedCount", "Hits"
> net1 <- array(0L, dim=c(5,5))
> str(net1)
int [1:5, 1:5] 0 0 0 0 0 0 0 0 0 0 ...
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 2/23/17, 3:49 AM, "R-help on behalf of Thomas Chesney"
wrote:
I have:
net1 <- a
The answer is yes, and does not seem like a big step from where you are now, so
seeing what you already know how to do (reproducible example, or RE) would help
focus the assistance. There are quite a few ways to do this kind of thing, and
what you already know would be clarified with a RE.
--
S
Hello everyone,
I see there are structural VAR options in the vars package for the endogenous
variables, but is there any easy way to impose structure on the exogenous
variable matrix (notated as the matrix C on page 45 of
https://cran.r-project.org/web/packages/vars/vars.pdf). Thanks!
Hi Vadim,
I would be happy to explore helping you out with this. I am quite active
in development for GPU use in R. You can see my work on my github (
https://github.com/cdeterman) and the group I created for additional
packages in development (https://github.com/gpuRcore). I believe it would
b
Dear all,
I just created an R script to generate forecasts in Microsoft Azure Machine
Learning Studio, however, I want to create a web service for this model.
Does anybody has any idea of how to do it? I have been searching in the
web, but haven´t found anything yet.
Any help will be greatly app
¡Hola!
This is to announce that [kmcuda](https://github.com/src-d/kmcuda) has
obtained native R bindings and ask for the help with CRAN packaging.
kmcuda is my child: an efficient GPGPU (CUDA) library to do K-means
and K-nn on as much data as fits into memory. It supports running on
multiple GPUs
Sometimes I need to get some data from the web organizing it into a
dataframe and waste a lot of time doing it manually. I've been trying to
figure out how to optimize this proccess, and I've tried with some R
scraping approaches, but couldn't get to do it right and I thought there
could be an easi
Perhaps a typo? It should be qt() not pt():
> pt(0.975, 29)
[1] 0.8311882
> qt(0.975, 29)
[1] 2.04523
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-bo
When I do pt(0.975, 29) I do not get 2.045 so I think you must have
declared a new function pt which is interfering with things.
On 23/02/2017 10:40, vod vos wrote:
If we want to get 95% limit of t value, the result will be
pt(0.975, 29) = 2.045
is that right?
On 星期三, 22 二月 2017 08:
... or:
net1 <- array(0L, dim=c(5,5))
Note the difference between 0 and 0L.
Gerrit
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Hi, Thomas,
maybe
mode(net1) <- "integer"
does what you want?
Hth -- Gerrit
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Tel:
I have:
net1 <- array(0, dim=c(5,5))
str(net1)
num [1:5, 1:5] 0 0 0 0 0 0 0 0 0 0 ...
and what I want is:
str(net1)
int [1:5, 1:5] 0 0 0 0 0 0 0 0 0 0 ...
Neither of the following work:
net1 <- as.integer(net1, drop=FALSE)
net1 <- as.integer(net1, dim=c(5,5))
Can someone please help?
Tha
If we want to get 95% limit of t value, the result will be
pt(0.975, 29) = 2.045
is that right?
On 星期三, 22 二月 2017 08:04:36 -0800 Rui Barradas
wrote
> Hello,
>
> It would be ?pt not pnorm.
> And as you can see in that help page you need another value, the value
> of t
You are not giving us a fully reproducible example, nor telling us the exact
error messages. However, chances are that you have another irf() function that
gets in the way. Does it work with vars::irf() ?
-pd
On 22 Feb 2017, at 10:57 , T.Riedle wrote:
>
>
>
> Dear all,
>
> I have not
RStudio seems to not pay due regard to the distinction between APPDATA
and LOCALAPPDATA.
See
https://support.rstudio.com/hc/en-us/community/posts/200650543-File-history-and-project-history-stored-in-LOCALAPPDATA
On 23/02/2017 08:00, g.maub...@weinwolf.de wrote:
Hi Martin,
the command
%loca
Dear Duncan and Philip,
thank you for your answers. maybe the toy data I gave it is a bit too easy,
so I am attaching a new dataset with 5 targets. As you can see from it, now
there are 5 panel strips with the label "run_1" and 5 with the label
"run_2". What I would like to do is to merge those wit
Hi Martin,
the command
%localappdata%\RStudio-Desktop
gives on my machine
"The command is written wrong or could not be found.".
I found "RStudio-Desktop" under
C:\Users\\AppData\Local\RStudio-Desktop
There references on created notebooks and presentations are stored in the
folder "RStudio-
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