Displaying 20 results from an estimated 555 matches for "univariant".
2012 Mar 14
2
How to test the statistical significance of the difference of two univariate Linear Regression betas?
How to test the statistical significance of the difference of two
univariate Linear Regression betas?
Hi all,
There are two samples of data: D1 and D2.
On data D1 we do a univariate Linear Regression and get the coefficient
beta1.
On data D2 we do a univariate Linear Regression and get the coefficient
beta2.
How do I test the statistical significance of (beta1-beta2)?
Could you please
2010 Sep 07
1
boundary correction - univariate kernel density estimation
Hey,
Does anyone know of a package in R that provides univariate kernel
density estimation with boundary correction ?
or how to easily extend an existing bivariate kernel density estimation
function (e.g. lambdahat in the spatialkernel package) with boundary
corrections to allow univariate density estimation?
Thanks a lot,
Steve B.
--
View this message in context:
2011 Mar 19
1
how to access the elements of a univariate results table with Anova (library car)
Dear R users, I use the excelent Anova function of the library car because
the easy way to get sphericity correction. Unless I use the scan function. I
have not been able to access the values of sum squares and degrees of
freedom for each effect in the univariate summary table.
Example of the car library for Anova function:
library(car)
phase <- factor(rep(c("pretest",
2005 Jun 03
1
ts.intersect a multivariate and univariate ts
This seems like a FAQ, but I can't figure it out.
I have a mv ts object:
R > tsp(pg)
[1] 1982 2003 1
R > dim(pg)
[1] 22 12
and a univariate ts:
R > tsp(rw)
[1] 1690 1996 1
Yet, when I try to intersect them:
R > tsp(ts.intersect(rw, pg))
[1] 1982 2176 1
the process goes awry.
How to I get rw and pg to be one ts that runs from 1982 to 1996 and has 13
univariate time
2012 Jul 31
2
Univariate Time Series Analysis in R
Hello!
I want to realise an univariate time series analysis in R, can someone help
me for the first steps?
Thanks
--
View this message in context: http://r.789695.n4.nabble.com/Univariate-Time-Series-Analysis-in-R-tp4638538.html
Sent from the R help mailing list archive at Nabble.com.
2013 Dec 18
1
Fwd: Bad \usage lines question
Dear colleagues,
In checking a function I am adding to an R package, I get the following
warning pair:
...
Bad \usage lines found in documentation object 'nominal':
"\\method{print}{nominal}"(x, max.print = 10,
posthoc = "std.pearson.residuals.sign",
assoc = ifelse("univariate"
list(c("N", "alpha.X2",
2003 Jul 30
2
STL- TimeSeries Decomposition
Dear R Helpers,
Currently I'm working with the ts package of R and created a TimeSerie
from pixels extracted from satellite imagery(S10 NDVI data, 10 daily
composites). I'm trying to decompose this signal in different signals
(seasonal and trend).
When testing out the STL method is says => Only univariate timeseries
are allowed, but the current Timeserie I'm using is univariate!
2008 Jan 21
0
New package: R to LaTeX Univariate Analyses
Hi the list
*** New package ***
R to LaTeX : Univariate analyses
r2lUniv
*URL:*http://www.r-project.org, http://christophe.genolini.free.fr/r2lUniv
*** Description ***
r2lUniv performs some basic analyses, then generates a code to be
included in a LaTeX document
to print the analyses in a (so nice!) LaTeX way.
r2lUniv performs the analyses automatically according to the classical
statistics
2008 Jan 21
0
New package: R to LaTeX Univariate Analyses
Hi the list
*** New package ***
R to LaTeX : Univariate analyses
r2lUniv
*URL:*http://www.r-project.org, http://christophe.genolini.free.fr/r2lUniv
*** Description ***
r2lUniv performs some basic analyses, then generates a code to be
included in a LaTeX document
to print the analyses in a (so nice!) LaTeX way.
r2lUniv performs the analyses automatically according to the classical
statistics
2008 Feb 02
1
ARCH LM test for univariant time series
Hi,
Does anyone know if R has a Lagrange multiplier (LM) test for ARCH
effects for univariant time series?
Thanks!
--
Tom
[[alternative HTML version deleted]]
2009 Oct 08
1
acf for a univariate time series in a data frame
hi everyone!
i want to check the autocorrelation function for a univariate time series
(streamflow) in a data frame as below:
< DF <- read.table("D:/file path....")
< DF
year jan feb mar apr ...... dec
1966 0.504 0.406 0.740 0.241 0.429
1967 0.683 0.529 0.780 0.443 0.503
.
.
.
.
what i first tried is:
acf (DF, plot = TRUE)
2005 Apr 13
2
Combine univariate time series
Hallo everyone
I have two univariate time series (class ts) describing the same variable. They have the same resolution, but span different periods in time with a big gap in between. I need to append one to the other such that they are one object, with the gap filled with NAs. The method ts.union produces a multivariate time series where the time axis is correct, but the individual time series
2003 Jul 17
3
univariate normal mixtures
Hello,
I have a concrete statistical question:
I have a sample of an univariate mixture of an unknown number (k) of
normal distributions, each time with an unknown mean `m_i' and a
standard deviation `k * m_i', where k is known factor constant for all
the normal distributions. (The `i' is a subscript.)
Is there a function in R that can estimate the number of normal
distributions k
2004 Aug 03
1
(PR#7152) Ops.ts returns non-ts object for univariate operations
This is a cryptographically signed message in MIME format.
--------------ms010908060700000604050108
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Sorry.
You're right about the univariate numeric operators. My bad.
However, I was expecting !x to return a time series, just like the
binary logical operators do.
For example:
> b <-
2005 Mar 07
3
R crashes using the em function of package mclust (PR#7719)
Hi,
I got the same problem like
http://tolstoy.newcastle.edu.au/R/devel/04/11/1204.html
R crashes when I use the em function from the mclust package on
univariate data and on a special case on bivariate data (when the matrix
is not provided as written in the manual).
It seems as if the problem is the format of the data to be analyzed.
Operating System: Windows XP (SP2)
R version: R-2.0.1
The
2010 Oct 12
1
Help with STL function to decompose
Hi everyone.
I'm having some troubles with STL function to decompose some data.
My issue is that I have monthly data from September 2005 up to August 2010
i. e. 60 observations.
I define it in the following way:
*u<-read.csv("C:/CELEBREX.csv",header = TRUE)
u.ts<-ts(u, start=c(2005,9), frequency=12)
*
The issue is that when I try to use
stl(u.ts, 'per')
Then the
2010 Jun 18
1
ggplot2 boxplot: horizontal, univariate
In ggplot2, I would like to make a boxplot that has the following properties:
(1) Contrary to default, the meaningful axis should be the horizontal axis.
Lattice does this, for instance, by
library(lattice);bwplot(~mtcars$mpg)
(2) It is *univariate*, i.e., of a single vector, say mtcars$mpg. I do not wish to make separate plots for the different values of mtcars$cyl.
(3) Nothing on the
2002 Oct 27
1
denoising univariate data with wavelets
Hi,
I am interested in a applying wavelets as a smoothing tool for my
(1-dimensional) data. I looked into wavetresh and waveslim packages but
could not quite figure out an obvious way to do this after running dwt or
wt functions. Would someone be able to point me in the right direction on
how to denoise univariate data using one of wavelet packages available in
R?
Thank you very much
Jane
ps
2004 Jan 14
1
univariant time series
Hi,
I am trying to use the stl function in the ts package. It requires that
the data is a univariant time series at the moment my data is in a
vector. I have coerced it to a time series using....
crimets <- ts(crimeData)
However, this does not work.
Does anyone have any suggestions?
Cheers,
Sam.
p.s. I am fairly new to R so apologies if this is a stupid posting.
2006 Feb 06
2
appeal --- add sd to summary for univariates
just a short beg for the next R 2.3 version:
I know it is easy to add the sd into summary() in the source bowels of
R---but everytime R is updated, my change disappears. :-(. I do not
believe that R has an easy extension mechanism for univariate
summaries, short of a function rewrite here. Could this please be
added into R 2.3?
Aside, a logical ordering might also be:
mean sd min q1 med q3