similar to: linear interpolation of time series

Dear R users, I want to test for serial correlation in each equation of VAR. The multivariate version of this test, for a vector X of class VAR for instance is var.ser<-serial.test(X,lags.pt=16,type="PT.adjusted") ### in the vars package Would any of you suggest me how to modify this to test for serial corr. in each equation of VAR please? Thanks Tsegaye [[alternative HTML

Hello, I am looking for a way to transform an array into a list (or a string). My array has two columns 1 and 2, and I would like to create a list of the values. Let's say I have : x1 x2 1 a b 2 c d 3 e f 4 g h What I would like to obtain is a,b,c,d,e,f,g,h. I tried without success melt and reshape ( reshape(my_array,

I believe it used to be possible to interpolate values into associations'' conditions with single quotes, but it isn''t anymore. has_many :widgets, :conditions => ''brand_id = #{brand_id}'' Anyone else remember that? It seems to have been snuffed out in changeset 3897 with the removal of interpolate_sql(@conditions) Was the change (and the fact that it

Dear all, i want to know if in R exist a method that give a logarithm interpolation of a two columns of dates. I try to do the lm of logarithm of the dates: a<-lm(log(vettore)~log(as.numeric(pippo2[3,]))) but this is a linear correlation and not that i want..... thanks giuseppe

Which function implements the piecewise cubic Hermite interpolation? I am looking for equivalent of matlab's interp1 with the method = 'pchip' Here is the reference http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/interp1.html& -- View this message in context:

hi, i using rails 2.3.8, i have setting this on my view: <%=h l(@banner.expire, :format => :long) %> (when "@banner.expire" is a Date ) and this on the my localized yml locale: date: formats: long: "%d %B %Y" but wheel i load the page, i have this error: I18n::MissingInterpolationArgument in Admin/banners#show missing interpolation

Hi, this is a newbie question. Would it be able to convert e.g. annual time series of flow data (or an index series) into quarterly data using interpolation splines by means of an existing R-function? The problem is, that the average value of the computed quarterly values must be the annual value, i.e. the spline should cross the annual values (in a stairs-line plot) in the middle of every annual

All, I''m having some difficulties with the #{} replacements in ActiveRecord that I haven''t seen mentioned on the list. I have a number of has_many relationships that use finder_sql queries dependent on dynamic data. I''ve seen that you need to single-quote the queries to make your terms work, and that''s been good for simple cases. What I''ve found

Hi ! I want to find the surface the interpolates a 2D histogram, that I have generated with hist2d. I don't want to make a fit, but simply an interpolation. Which function have I to use to do this ? Thanks in advance. Paola. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On Mon, 29 Jun 2015, Leon Kyneur wrote: > I have a configuration that works something like this on my front end proxy: > > pass_attrs = mail=user,\ > =nopassword=y,\ > =proxy=y,\ > =host=mail.%d > > The above works perfectly well even though it seems a bit hack. > > I want to fetch the host field from LDAP and default

Hi, When an audiopacket is received too late I could interpolate this frame. The problem is that I don't know if it is a true bufferloss or just the last audiopacket of a talkspurt. Now my question is if it's harmfull for the audioquality that at the end of the talkspurt one frame is interpolated? Or would this be almost inpossible to hear since the last audiopacket in the talkspurt

Jean Marc & list, I was going to start fiddling with using the ability to pass NULL to speex decode and using that to return an interpolated frame. I am curious what the intended use of this feature was- I.e. if there is a packet loss situation is it preferable to keep interpolating until new data shows up, or to cut your losses after a certain number of frames? I suppose some of this

http://www.xiph.org/ogg/doc/oggstream.html says: "An index is only marginally useful in Ogg for the complexity added; it adds no new functionality and seldom improves performance noticeably. Empirical testing shows that indexless interpolation search does not require many more seeks in practice than using an index would." I am keen to see seeking code which is almost as fast as

How would you proceed with the following problem: I have an data frame containing a table relating raw scores on an iq test to 'decile-like' scores. data<-data.frame(age =c( 8, 9, 10, 11, 12, 13, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70), pers90=c(33, 39, 43, 47, 50, 54, 54, 52, 50, 49, 47, 46, 43, 42, 39, 37), perc75=c(27, 31, 37,

I've been told that you may be able to help. I have a complex linear model with multiple two-way interaction terms. Is there a way to view the interaction terms in a 3d plot equivalent to the S functions: > plan<-interp(x,y,z) > image(plan) where x and y are my explanatory variables and z my response variable. Thanks, Jonatha Davies

Hello all, I want to interpolate some data i prepared in GRASS, so I'm looking for what interpolation methods are available for R. In GRASS I can do Splines with tension and IDW. I'm looking for something like multiquadric equations. Is there any function/package available fo rthis? thanks all -- +-------------------------------------------------+ Carlos Henrique Grohmann de

Hello! Here is my problem, I have got a data set that contains values of intensity over a regular interval of time. What I need to do is to resample this data set (or curve) at a different interval of time x (1000 predictions will be made to resample the curve). So in order to perform such an operation I am required to do some kind of interpolation. I know that through kriging, the

Hello, Is there any other bivariate pointwise interpolation command besides akima's interpp? I tried to search through the J. Baron's page without luck. The problem is that I have got regularly spaced data (in x and y) what is not acceptable for interpp. I am not very much interested in the method of interpolation as the data are dense and the error would not be to high. Thanks in

Greetings, How might one go about generating a smooth interpolation of a survival curve generated by the survfit function in the survival package? I am able to package my variables by standard methods >x<-(survfit(Surv(time),data) and plot the "step" curve, but would like to obtain a smooth estimation curve for the purpose of approximating survival time between steps on the

Hi I'm sorry about the triviality of my problem. I have a vector (v) of three columns (logA, logB, id). I want to compute (and plot) the correlation between logA and logB for different thresholds of id (e.g. >30, etc). So I tried: for(i in 1:100){ points(cor(v$logA[v$id>i], v$logB[v$id>i], use="complete.obs"), i)) } (i created a plot object already) but it comes with