I answer to myself, just in case someone in the future will need this.
The data set for headsize is named "frets", from the name of the author
who collected data in 1921, and it is available once the the library
"boot" is loaded.
Il giorno lun, 28/07/2014 alle 15.46 +0200, ottorino ha scritto:
>
A while ago, I inquired about fitting excess relative risk models in R. This is
a follow-up about what I ended up doing in case the question pops up again.
While I was not successful in using standard tools, switching to Bayesian
modeling using rstan (mc-stan.org/rstan.html) worked better. The r
Hello list
I'm just beginning my PhD and am likely to be using lots of surveys in
my data collection, and am wanting to get my head around the ideas about
how best to approach the tasks in R.
The data sets I have collected so far for some preliminary practise with
are made up of the followin
1. If you are asking about statistics, this is the wrong list. Post
here instead: stats.stackexchange.com.
2. If you you are asking about what sorts of statistical analyses are
available in R, check the CRAN task views here:
http://cran.r-project.org/web/views/
3. If you are asking about how to p
There is the TkBrush function in the TeachingDemos package that gives
brushing in a scatterplot matrix using a Tk interface rather than
ggobi. There is also the iplots package which allows you to create
multiple scatterplots, histograms, boxplots, barcharts, etc. and
points selected in any one of
John Et Al.
I can get rJava and XLConnect to work only if I run as super user.
Note that I have built rJava and XLConnect as super user (otherwise neither
package works).
Without sudo
> require(XLConnect)
Loading required package: XLConnect
Error :
Hello, there,
I have 6 dataset and trying to draw a venn.diagram using R VennDiagram package,
but got this error message. Could anybody figure out why?
Thanks
===
> library(VennDiagram)
Loading required package: grid
> head(A)
V1
1 F_HO1
2 F_HO10001
3 F_HO10002
4 F_HO10003
5 F
We are interested in using copulas for spatial modeling of environmental
data. We are new to R and new to copulas. Weâre looking for some guidance
on how to use copulas for this application. I've searched the r-help
archives and I not found the information I need. Can anyone point me to
informati
There are plugins for rCharts that help you create custom charts.
Here is a scatterplot matrix example
http://mostlyconjecture.com/2014/02/09/scatterplot-matrix-with-rcharts/
It doesn't support brushing, but I think it won't be hard adding that
behavior if you contact its author.
Hope this help
For your item 2,
(2) 25 obs x 14 var of ordinal rank data [5 item Likert-scale, with
some missing values], and
I recommend the likert function in the HH package
install.packages("HH")
library(HH)
?likert
Rich
On Tue, Jul 29, 2014 at 9:01 AM, Sun Shine wrote:
> Hello list
>
> I'm just beginning
On Tue, 29 Jul 2014, Sun Shine wrote:
(a) what types of analyses are available to apply to the data types above?
Many years ago I consulted to a graduate nursing program; the students
were asking the same questions you ask: what sort of statistics will turn my
sow's ears of survey data into
Greetings,
New to R, coming from Java (Spring).
We have many different data sources (CSV's) for our analysis. Some of them
need preprocessing at the time of analysis - doing it earlier and saving
the resultant table doesn't make sense.
My code is getting tangled quickly as I try to read.csv my m
I was playing around with the nnetar function in the forecast package,
trying to generate a 3-year forecast (36 months), the R fit result is shown
below:
#Neural Nets Fitting and Forecast
>
> fit<-nnetar(condataset$ConPcums97)
> fit
Series: condataset$ConPcums97
Model: NNAR(13)
Call: nnetar(x
Sounds to me like a problem outside of R (off topic here). In particular, it
doesn't sound like you are using the appropriate tools (apt-get package manager
for R and a JDK; R install.package() for your R packages) to admin your
machine. The only thing you should need sudo for is to run apt-get.
R is a functional language so you might want to google for 'dependency
injection functional language' and see why dependency injection is not
a hot concept in R.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Jul 29, 2014 at 9:02 AM, Reed Spool wrote:
> Greetings,
>
> New to R, coming fro
Color me mystified. In particular, "preprocessing at the time of analysis"...
what is wrong with writing a function that gets your data and cleans it up,
then calling it when you feel the time is right?
Note that R is optimized for vector processing (columns), not row-by-row
processing, so the
...
and so it is straightforward to have both data and a preprocessing
function as arguments to an analysis function so that the
preprocessing is done both appropriately and efficiently. Or to pass
both data and preprocessing function as a single construct.
If this misstates the issue, please say
Thanks for the quick responses everyone,
Bill, good point. In JavaScript I've used RequireJS, which is the type of
thing I'm interested in. I don't need anything strongly typed.
Excuse my ignorance, but R is not "totally functional", and it is object
oriented, right? I.e. it is functional in that
Thanks, I'll look into that further.
Cheers
On 29/07/14 16:44, Richard M. Heiberger wrote:
For your item 2,
(2) 25 obs x 14 var of ordinal rank data [5 item Likert-scale, with
some missing values], and
I recommend the likert function in the HH package
install.packages("HH")
library(HH)
?liker
Thanks for the link. I had not been aware of that.
On 29/07/14 15:27, Bert Gunter wrote:
1. If you are asking about statistics, this is the wrong list. Post
here instead: stats.stackexchange.com.
2. If you you are asking about what sorts of statistical analyses are
available in R, check the CR
Good day,
I have a data set from a MySQL database with a description field that I want to
spilt up the values in order to compare the description of one record to the
others. This will help me to identify any patterns with the data being
recorded.
Your help will be gladly appreciated.
Gayon
On Tue, Jul 29, 2014 at 12:54 PM, Jeff Newmiller
wrote:
> Sounds to me like a problem outside of R (off topic here).
Possibly, but I suspect that the OP now has two versions of XLConnect
installed, one in the user R library and one in the system-wide R
library.
Keith, try
remove.packages("XLCon
Hi Folks,
I have been using the TukeyHSD to conduct post hoc comparisons. The challenge
is I have two interacting factors, one of which has 6 levels (cover types), and
the other 2 (study areas).As a result interpreting the post hoc comparisons
is difficult when you get a list of every poss
The venn.diagram() function in the package VennDiagram only works with
sizes up to 5.
That isn't horribly clear from the help file, but quite explicit in the code:
if (0 == length(x) | length(x) > 5) {
stop("Incorrect number of elements.", call. = FALSE)
}
If you really need 6, y
A goldmine of fortunes!!!
cheers,
Rolf
On 30/07/14 01:29, Rich Shepard wrote:
On Tue, 29 Jul 2014, Sun Shine wrote:
(a) what types of analyses are available to apply to the data types
above?
Many years ago I consulted to a graduate nursing program; the students
were asking the same qu
Look at package multcomp, particularly function cld().
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behal
Thank you very much, Greg and Ramnath, for the pointers! I'll explore more.
On Tuesday, July 29, 2014 8:10 AM, Ramnath Vaidyanathan
wrote:
There are plugins for rCharts that help you create custom charts.
Here is a scatterplot matrix example
http://mostlyconjecture.com/2014/02/09/scatte
Hi,
My telepathy is not working today.
Have you already imported your data into R?
If so, what does it look like?
dput(head(yourdata, 20))
is an effective way to provide data on the list. Or if your question
refers to only one column, that's all we need.
But we certainly need to know what the
Thank you for that link, it was very helpful.
My attempt,
This is what my data set looks like
dput(head(des,2))
structure(list(description = structure(5:6, .Label = c("\"Lorem ipsum dolor sit
amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore
et dolore magna aliqua
Hello!
When constructing code using knitr, is there a way to get the ">" prompt to
appear, please?
Everything else works great!!
Thank you!
Sincerely,
Erin
--
Erin Hodgess
Associate Professor
Department of Mathematical and Statistics
University of Houston - Downtown
mailto: erinm.hodg...@gm
Sorry: just solved it.
You simply include "prompt=TRUE" in the <<>> section
Thanks,
Erin
On Tue, Jul 29, 2014 at 6:22 PM, Erin Hodgess
wrote:
> Hello!
>
> When constructing code using knitr, is there a way to get the ">" prompt
> to appear, please?
>
> Everything else works great!!
>
> Than
Kia ora Erin
But beware - to quote from Yihui 2013 introduction to knitr
"It is easy to revert to the output with prompts (set option prompt=TRUE), and
you will quickly realize the inconvenience to the readers if they want to copy
and run the code ..."
Peter Alspach
-Original Message-
Yeah, it is just my personal opinion. Some users like it, and some do not.
Regards,
Yihui
--
Yihui Xie
Web: http://yihui.name
On Tue, Jul 29, 2014 at 5:36 PM, Peter Alspach
wrote:
> Kia ora Erin
>
> But beware - to quote from Yihui 2013 introduction to knitr
>
> "It is easy to revert to the ou
I was thinking that for teaching, it may be helpful for them to see the
whole thing.
On Tue, Jul 29, 2014 at 6:56 PM, Yihui Xie wrote:
> Yeah, it is just my personal opinion. Some users like it, and some do not.
>
> Regards,
> Yihui
> --
> Yihui Xie
> Web: http://yihui.name
>
>
> On Tue, Jul 2
on windows gui, right-click paste-without-prompt (or some similar phrasing)
takes the prompts away.
on ESS c-u c-u c-y takes the prompts away
Rich
Sent from my iPhone
> On Jul 29, 2014, at 22:17, Erin Hodgess wrote:
>
> I was thinking that for teaching, it may be helpful for them to see the
Dear R helping team,
I am trying to check if the model I fitted is the best fitted model from the
data. I have over all 392 data, I want to fit the model in the first 382 data
and do 10 step predictions, check whether my model fits the last 10 data well.
Here is the R code I wrote
da<-read.
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