Many thanks Ista. I will try other routes as well.
Thanks Jeff and sorry for posting without abiding by the rules.
Thanks James. I would rather automate this than download manually
everytime. That is my intent.
Best
Balaji
On Tue, Jul 15, 2014 at 7:16 PM, Ista Zahn wrote:
> Not an R question,
You want algorithms compiled into a dll... I am satisfied with R in its current
form, so I am not a particularly good guide for you. If you wish to continue
with the wrapping-R approach then you should read the Writing R Extensions
document that comes with R, and study R-devel mailing list inste
> So you are saying to make sense this would need to be
>
> > match.call(definition=g , call=quote(g(1)) )
> g(x = 1)
Yes. What would you expect to get from match.call() outside of a
function if you don't give it a call argument? It uses the default value
for 'call', sys.call(sys.parent()), but
On Jul 15, 2014, at 5:04 PM, William Dunlap wrote:
Does it make sense to call match.call outside of a function without
specifying both the function definition and the call to the function?
My puzzlement came from the different response to these two commands:
match.call(g)
match.call(definiti
Does it make sense to call match.call outside of a function without
specifying both the function definition and the call to the function?
I agree that the error message is misleading. Also, the return value
when call is not supplied does not seem useful, although it is
possible that it is correct
On Jul 14, 2014, at 10:37 PM, Ryan Dallavia wrote:
Thanks for your reply Jeff!
install.packages('Lahman') was the first command typed and generated
the
error leading to the var directory. Here's everything else that I've
got,
per one of the how to ask a good question post.
There are bin
The help page says:
"Calling match.call outside a function without specifying definition
is an error."
And yet when I send a function with a 'definition' argument it errors:
> g
function(x, y=NULL, z=NULL) invisible(NULL)
> match.call(definition=g)
Error in match.call(definition, call, expan
Thanks for the answer.
If it is possible, could you indicate me how to proceed? or what would be
the best alternative?
Regard
Ludovic Brossard
Jeff Newmiller a écrit :
> Possible, but almost certainly not worth it. R is an interpreted
> language, and the dll would have to encapsulate the who
Munjal,
Something like this should work:
Digits = c(20, 30, 40, 50, 60)
result = vector(length(Digits), mode="list")
names(result) = Digits
for(j in seq(Digits)) {
a = vector(Digits[j], mode="list")
b = vector(Digits[j], mode="list")
for(i in 1:Digits[j]) {
#Do Calculation
a[[i]] = data.frame(#
I am returning this email thread to the list.
Yes, of course.
X.diagplot$resid
X.diagplot$aic
X.diagplot$acf
X.diagplot$pacf
X.diagplot$gof
On Tue, Jul 15, 2014 at 2:14 PM, 张天添 wrote:
> Hi Rich,
>
> Thank you for your quick reply. I wonder if it is possible to view the PACF,
> ACF, P-value of g
Not an R question, but see
https://addons.mozilla.org/en-US/firefox/addon/cliget/ for an easy way
to see what what is going on under the hood when you download using
firefox. For your example I get
wget --header='Host: www.nseindia.com' --header='User-Agent:
Mozilla/5.0 (X11; Linux x86_64; rv:30.0
Possible, but almost certainly not worth it. R is an interpreted language, and
the dll would have to encapsulate the whole shebang.
---
Jeff NewmillerThe . . Go Live...
DCN:Ba
Circumventing content protection measures or picky server configurations such
as this appears to be tends to involve HTTP protocol details that are off topic
here, though someone may tackle your problem anyway and report back. Once you
know what your protocol needs are (perhaps with the help of
Hi Johannes,
you mentioned dynamicTreeCut - the dynamic hybrid method works fine on
your data. Just supply the dissimilarity matrix as well: I use the
function plotDendroAndColors from WGCNA to show the results; if you
don't want to use WGCNA, just leave out the last call.
library(WGCNA)
set.see
I believe you can accomplish this without modifying cutree by analyzing the
cluster heights before calling cutree. First generate the data setting the
random seed so we are all looking at the same thing:
set.seed(42)
x <- c(rnorm(100,50,10),rnorm(100,200,25),rnorm(100,80,15))
y <- c(rnorm(100,50
Dear Experts
I am new to this forum and to R and was trying the following to access a
zip file from the webpages of the NSE. Here is my code.
temp <- tempfile()
download.file("
http://www.nseindia.com/content/historical/DERIVATIVES/2014/JUL/fo09JUL2014bhav.csv.zip
",temp)
con <- unz(temp, "a1.da
Hello
My question is the following. I have tried to find a similar subject in
archives but not found (perhaps bad search!).
One of my colleague wrote a R code combining some R functions to create a
method of calculation.
I would want to use this in a program coded in Delphi.
Is there poss
The outlier is a maximum value, so which.max() is likely to be useful
time <- time[-which.max(time$TimeDiff ),]
should work reliably.
S Ellison
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Bert Gunter
> Sent: 15 July 20
Yes, of course.
Please look at the tsdiagplot function in the HH package.
install.packages("HH") ## if you don't have it yet
?tsdiagplot
The example shows 0 wrote:
>
>
>
> Dear R help team,
>
> I am currently stuck on how to determine the order of a data. I have plotted
> the ACF and PACF of
Hi Johannes,
Looking at the code for cutree(...), if h is provided but not k, then
cutree(...) calculates k from h and calls a C function with k
to cut the tree (but all this only if height is sorted). So we can short
circuit the test this way:
cutree.h <- function(tree,h) {
# this line adapt
The actual answer (which way is faster) in general can go either way depending
how much data you extract and how well optimized the SQL queries and indexes
are. The amount of data you mention fit one or give weeks seems small for most
modern computers, though (you did not mention how many column
Hi
I am trying to compute the Granger causality test using the Vector Error
Correction Model (VECM) in R. I calculated the VECM in R using tsDyn package.
Since I have I(1) and cointegrated variables, VECM is assumed to implement the
Granger causality test. However I didn't find any function in
I have some data in an SQL data base (PostgreSQL to be exact). This data
base (one table in particular) has a lot of data in it. Years worth, in
fact (2.3 million rows since 2012). That just for background.
My question is: If I am going to create 5 separate graphs, one graph for
each of the previo
Dear All,
I think this is a general stat plus R-related question.
Firstly, the 'problem': I fitted non-linear (exponential-type) models to
moisture ratio-time data using nls(); one of its parameters, k, is commonly
designated as the constant of drying rate (the other are less important); in
Hi Jim,
Thought I tried that. Just have one session running currently, started
yesterday, help still linked. I'll wait for the link to expire and
confirm.
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Jim Lemon
Sent: July 15, 2014
Dear Michael,
Thank you very much. I was looking into this as well.
Best,
Monaly
On Jul 14, 2014 10:43 PM, "Michael Friendly" wrote:
> Perhaps what you are looking for is the visualization methods for
> canonical correlation provided in the candisc package.
>
> see
> ?candisc::cancor
> ?heplot.
No! Do not do this.
First, the syntax is wrong. Second, this will fail in general due to
floating point arithmetic. Use inequality with sufficient fuzz
instead.
e.g.
time <- time[time$TimeDiff < 14478,]
Moral: Caveat Emptor. Free advice may be worth exactly that.
Cheers,
Bert
Bert Gunter
Genen
Dear list,
In fitting a two-component Student's t mixture distribution to some data
(standardized GARCH residuals) one of the components has an estimated
degree of freedom of 0.6. This means that even the first moment of the
mixture distribution would not exist.
The gamlss.mx package in R is
Hi,
I am wondering if it is possible to set the path to the output file of the
function
BIOMOD_Modeling() from the 'Biomod2' package. I can see the option
SaveObj to state if the output should be save to the hard disk. When this is
enabled, all files are printed to the working directory. So is Bio
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