similar to: Time Series Analysis: book?

Hello, Is there any software project that uses R to do log file analisys? thanks gabi

Working through the R archives and webspace, I've mostly proved to myself that I don't know enough about what statisticians call "Curve Fitting" to even begin translating the basics. I'm a sysadmin, and have collected a variety of measurements of my systems, and I can draw pretty pictures in R showing what has happened. People are happy, customers feel empowered. Whee!

Hello. This is my first post, so allow me to introduce myself. But first, I'd like to thank all the authors and contributors to the R software, as I think that it is truly a great and very useful package. I am the author of moodss, a GPL modular monitoring application (http://moodss.sourceforge.net). Moodss collects, archives in a SQL database and displays data from monitored devices,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 My ultimate goal is to best fit time series by comparing AICs and BICs (as in Bayesian) from arima() and nnet(). I looked at the arima.R source code, but I am afraid I do not understand it. What I only miss really is the number of parameters p, where: AIC = n*log(S/n) + 2*p with S the squared residuals and n the number of observations. Can I get p

I'm not an engineer so I hope I'm using the correct terminology here. I have a recorded waveform that I want to apply low and high pass filters too, are tehre already R functions existing to do this or am I going to have to program my own? thanks for any pointers tom

In real world, data manipulation might take even longer time and more effort than statistical analysis and modeling. Does anyone know a good book and tutorial about data manupulation? Thank you so much. -- WenSui Liu, MS MA Senior Decision Support Analyst Division of Health Policy and Clinical Effectiveness

Dear R-users, I haven?t found rules for logical operators. I need to select data according the following rule: Condition A & (Condition B | Condition C) How should I write it?? Is Condition A & Condition B | Condition C correct or will R execute (Condition A & Condition B) | Condition C ? Thanks for your help. Delphine Fontaine Delphine Fontaine Statistician Statistics

dear R-users, I am facing a quite regular and basic problem when it comes to dealing with datasets, but I cannot find any satisfying answer so far. I have a messy dataset of galaxies like that : And XVIII 000214.5+450520 0.69 17 9 0.00 -8.7 26.8 6.44 6.78 < 6.65 -44 0.5 MESSIER031 0.6 1.54 PAndAS-03 000356.4+405319 0.10 17 0.00 -3.6 27.8 4.38

dear R users, I am performing a linear regression with lm, and I would like to plot the regressor in dashed lines. I know that the lty=2 option is the way out, but it has a very strange behaviour: the line starts dashed but then the spaces between each dash becomes very tiny and so the line become somehow continuous for the human eye. Do you know how to fix that problem, in order to have a

Is this a fixed width format? If so, read.fwf() in base, or read_fwf() in the readr package will solve the problem. You may need to trim trailing spaces though. B. > On Oct 5, 2017, at 10:12 AM, jean-philippe <jeanphilippe.fontaine at gssi.infn.it> wrote: > > dear R-users, > > > I am facing a quite regular and basic problem when it comes to dealing with datasets,

Dear R-users, I would like to create a new data frame composed of 2 columns of another data frame. But it does not give me what I want... > casesCNST[1:10,] case X1 X2 X3 X4 expected 1 A1 0 0 0 0 E 2 A2 0 0 0 1 C 3 A3 0 0 0 2 C 4 A4 0 0 0 3 C 5 A5 0 0 0 4 C 6 A6 0 0 1 0 C 7 A7 0 0 1 1 C 8

hi Sarah, Thanks a lot for having taken time to answer me and for your reply. I wonder how I missed this solution. Indeed plotting the line with the 2 extreme data points works perfectly. Best, Jean-Philippe Fontaine On 04/12/2017 18:30, Sarah Goslee wrote: > It's because you are plotting a line between each of the points in > your data frame, and they are very close togethe

Dear Lister, If I have a list of number, say x<-c(0.1, 0.5, 0.6...), how to use a for() to loop through each number in x one by one? Thank you so much! wensui [[alternative HTML version deleted]]

Hello, I'm trying to use the version 0.6 of chan_capi-cm for outgoing calls it works perfectly but for incoming calls it doesn't work. I tried to set an extension to dial my from-pstn context and it works. So I think there's a problem with my capi.conf or something... Here's a debug when calling -- CONNECT_IND (PLCI=0x101,DID=9100,CID=46720XXXX,CIP=0x4,CONTROLLER=0x1)

Right now, I am using SAS and S+/R. As a new year resolution, I am planning to learn a scripting language. from statisticians' point of view, which scripting language is worth to learn, perl, python, or any other recommendation? (Most likely, I will be learning it in windows.) Since I am not in research, I will prefer one widely used in industry and related to statistical work. if you

Good morning, dear listers I am wondering if you could recommend a good tutorial / book for r scripting. thank you so much in advance! WenSui Liu Credit Risk Manager, 53 Bancorp wensui.liu at 53.com 513-295-4370

I have a time series with a one year lag, ar=0.5. The series has some interesting events that disappear when the series is whitened (i.e., fitting an AR process and looking at the residuals). I'd like to remove the autocorrelation in stages to see the effect on the time series. Is there a way to specify the autocorrelation term while fitting an AR process? For instance, given the following:

Hi R-helpers, I'm new to time series modelling, but my requirement seems to fall just outside the capabilities of the arima function in R. I'd like to fit an ARMA model where the variance of the disturbances is a function of some exogenous variable. So something like: Y_t = a_0 + a_1 * Y_(t-1) +...+ a_p * Y_(t-p) + b_1 * e_(t-1) +...+ b_q * e_(t-q) + e_t, where e_t ~ N(0, sigma^2_t),

Hi R experts, How can I get a ts object from a data frame object which contains a daily time series in order to apply it time series functions? Tanks Aleto [[alternative HTML version deleted]]

dear Jim, Thanks for your reply and your proposition. I forgot to provide the header of the dataframe, here it is: ================================================================================ Byte-by-byte Description of file: lvg_table2.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations