similar to: Polynomial fitting

To whom it may concern: I am trying a factorial design a system of mine that has two factors. Each factor was set at four different levels, with one replication for each of the combinations. My data is as follows: A B Response 1 600 2.5 0.0257 2 600 2.5 0.0254 3 600 5

I don't understand which is the problem Could you help me please? Thanks in advance Marta > str(data_indiciN2) 'data.frame': 200 obs. of 36 variables: $ gruppo: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ I001N2: num 19.32 8.22 28.35 7.24 14.7 ... $ I002N2: num 2.92 2.54 0.11 1.6 7.12 ... $ I003N2: num -22.362 -0.222 -19.291

Dear all R-users, I wanted to fit a Garch(1,1) model to a dataset by: >garch1 = garch(na.omit(dat)) But I got a warning message while executing, which is: >Warning message: >NaNs produced in: sqrt(pred$e) The garch parameters that I got are: > garch1 Call: garch(x = na.omit(dat)) Coefficient(s): a0 a1 b1 1.212e-04 1.001e+00 1.111e-14 Can any one

Hi! I''m still struggling with RSpec to get it working with a Rails application, that does not use a database. I removed all the db:* dependencies from the RSpec targets, but it still wants to connect to a database. Any ideas? bye, Tobias ** Execute spec:models /usr/bin/ruby1.8 -I"/var/lib/gems/1.8/gems/rspec-0.7.5/lib"

On Feb 25, 2011, at 11:38 AM, Rafael Avila de Espindola wrote: >>> Can someone else try to reproduce this? > > I tried gcc.c from > http://people.csail.mit.edu/smcc/projects/single-file-programs/ and the > difference is a bit more noticeable: > > -O0 -mno-relax-all > > real 0m13.182s > user 0m12.690s > sys 0m0.450s > > -O0 > > gcc.o is

>> Can someone else try to reproduce this? I tried gcc.c from http://people.csail.mit.edu/smcc/projects/single-file-programs/ and the difference is a bit more noticeable: -O0 -mno-relax-all real 0m13.182s user 0m12.690s sys 0m0.450s -O0 gcc.o is 10932968 bytes. real 0m12.969s user 0m12.520s sys 0m0.410s gcc.o is 11410552 bytes IMHO it would still be reasonable to switch to

On 23.11.2012, at 15:12, john skaller <skaller at users.sourceforge.net> wrote: > > On 23/11/2012, at 5:46 PM, Sean Silva wrote: > >> Adding LLVMdev, since this is intimately related to the optimization passes. >> >>> I think this is roughly because some function level optimisations are >>> worse than O(N) in the number of instructions. >>

Hi, Here is my data, the first 10 rows > u=regCond_all[1:10,] > dput(u) structure(c(999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 99, 1.9, 2, 1.97, 1.99, 1.83, 1.78, 1.6, 1.52, 1.52, 1.36, 10.53, 9.88, 9.88, 10.53, 10.53, 10.53, 5.26, 9.88, 10.53, 10.53, 5.4, 5.57, 5.46, 5.34, 5.5, 5.59, 5.62, 5.76, 6.23, 6.19,

Hi >i have this data > X [1] 5.79 1579.52 2323.70 68.85 426.07 110.29 108.29 1067.60 17.05 22.66 [11] 21.02 175.88 139.07 144.12 20.46 43.40 194.90 47.30 7.74 0.40 [21] 82.85 9.88 89.29 215.10 1.75 0.79 15.93 3.91 0.27 0.69 [31] 100.58 27.80 13.95 53.24 0.96 4.15 0.19 0.78 8.01 31.75 [41] 7.35 6.50

Dear stats experts: Me and my little brain must be missing something regarding bootstrapping. I understand how to get a 95%CI and how to hypothesis test using bootstrapping (e.g., reject or not the null). However, I'd also like to get a p-value from it, and to me this seems simple, but it seems no-one does what I would like to do to get a p-value, which suggests I'm not understanding

This is not specifically on-topic for Asterisk, but I have found on many occasions while working with Asterisk that it would have been very handy to be able to measure, with some precision, the bandwidth being used by a particular host, port, or combination of the two. So, I went searching for various tools, none of which were what I wanted. They either were too clever, or too limited in

I am attempting to add a calculated column to a data frame. Basically, adding a column called "newcol2" which are the stock closing prices from 1 day to the next. The one little hang up is the name of the column. There seems to be an additional data column name included in the attributes (dimnames?). So when i run HEAD(DATAFRAMENAME) i get the column name = "Open". but

Hi. How much may implementing of THREAD=ORDEREDSUBJECT to Dovecot 2.1.x or later cost ? Artyom.

Dear all, We want to test if the invasiveStatus is predicted by the amount (quant) of animals arriving to a country of a certain species (taxonid). We are using lmer to perform the model. The model is: lmer(invasiveStatus~I(log(quant+1))+I(log(inDegree+1))+(1|taxonid)+(1|country), family=binomial,data=td), where invasiveStatus is a binary variable, quant and inDegree are integer variables, and

Dear R developers, I have encountered strange behaviour of fitdistr for gamma in recent R build i.e. 2.2.0. I have attached the code for data at the end of this mail so you can reproduce the problem. In short, I am able to run fitdistr under 2.1.0 without problems, while I get the following error under 2.2.0 (Version 2.2.0 Patched (2005-11-15 r36348)) > fitdistr(otm, "gamma") Error

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

I am trying to interpolate missing values using spline and am running into some strange problems. first, this works just fine: x<- c(1:10, rep(NA, 3), 14:20) y<- c(rnorm(10), rep(NA,3), rnorm(7)) s<- spline(x,y, n=length(x)) plot(x,y) lines(s, col="blue") but look at what happens with my real data (sorry for the long vectors here): x<- c(-9.816, -9.801, -9.801, -9.795,

I have used the greedy.wilks to stepwise discriminant analysis, but it doesn't work with my dataset. I don't understand which is the problem Could you help me please? Thanks in advance Marta > str(data_indiciN2) 'data.frame': 200 obs. of 36 variables: $ gruppo: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ I001N2: num 19.32 8.22 28.35 7.24

I have a series of datasets, each containing pH measurements and manufacturing dates, and each dataset pertains to a different manufactured product. I'm trying to create a series of plots of pH measurements by date, but the default X-axis labeling behavior is not giving adequate results in this particular case, and I can't figure out how to persuade R to come up with something more

> -----Original Message----- > From: Eric Wieling [mailto:eric@fnords.org] > Sent: Friday, March 11, 2005 1:52 PM > To: Asterisk Users Mailing List - Non-Commercial Discussion > Subject: Re: [Asterisk-Users] Re: Incoming echo cancel > > > Nenad Radosavljevic wrote: > {clip} > > > > Anyone have an idea, why this type of echo happens ? As far as I have