search for: pender

Hi, For this example: O <- c(0 0 0 2 0 0 2 0) I want to create an array every time O[i] > 0. The array should be in the form; R[j] <- array(-1, dim=c(2,O[i])) i.e. if O[i] > 0 4 times I want 4 R arrays. Does anyone have any suggestions? Thanks, Doug -- View this message in context: http://r.789695.n4.nabble.com/Create-Arrays-tp2996706p2996706.html Sent from the R help

R community, I am trying to write a code that fills in data gaps in a time series. I have no R or statistics background at all but the use of R is proving to be a large portion of my PhD research. So far my code identifies where and the number of new entries required but I do not know how to add additional rows or columns into an array. Any advice on how this can be done? Here is an example:

I am trying to convert an array from numeric values back to date and time format. The code I have used is as follows; for (i in 0:(length(DateTime3)-1)) { DateTime3[i] <- (strptime(start, "%m/%d/%Y %H:%M")+ i*interval) where start <- [1] "1/1/1981 00:00" However the created array (DateTime3) contains [1,] 347156400 347157600 347158800 347160000 347161200 347162400

R community, I am creating a bivariate return level plot by adding calculated return period values as lines onto an existing plot using the following code with the points representing the return periods. plot(H2,D2,pch="+",axes=TRUE) points(H.10,D.10, type="l",col="blue") points(H.20,D.20, type="l",col="green") points(H.50,D.50,

(Apologies to those Toronto Asterisk Users' Group folks who have seen this message... I figured I'd have more success with a wider audience) I'm trying to boot a Cisco 7960 from an ISC DHCPD server (3.0.3 on FreeBSD 4.11), so far unsuccessful, and getting some odd behaviour on the wire. I wonder if anyone has done this before and therefore can validate whether or not the traffic I am

Hi, I am having some problems using the if statement correctly. I have used it many times previously so I dona't know what is different with this case. Here is my problem: I have a 1X10 matrix of values as follows: > H.MC [,1] [1,] 4.257669 [2,] 7.023242 [3,] 4.949857 [4,] 5.107000 [5,] 4.257669 [6,] 4.257669 [7,] 4.257669 [8,] 4.257669 [9,] 4.257669 [10,] 4.257669

Im having a trouble understanding the config files setup even with some documentation ive read such as the handbook, maybe im just illiterate. Anyway do you think some one can point me to some examples of real config files. Such as IAX, Extensions, and Sip. I just cant grasp the concept for some reason. If someone would like to help me out, maybe even explain one on one? Thanks a lot

Hi, and sorry for asking such an unspecific question. Does anybody know of statistical / data mining methods that are available in R that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS Enterprise Miner. I don't expect a complete list, just two or three examples or hints where and what to look for. I found some older comparisons, and the R methods mentioned there

...ical kites in KiteChart (plotrix) (Jim Lemon) 10. Re: vertical kites in KiteChart (plotrix) (Michael Bedward) 11. Re: Lattice: arbitrary abline in multiple histograms (Dennis Murphy) 12. Re: compare histograms (Dennis Murphy) 13. Re: Data Gaps (Dennis Murphy) 14. Date Time Objects (dpender) 15. Re: compare histograms (Michael Bedward) 16. Re: Lattice: arbitrary abline in multiple histograms (Alejo C.S.) 17. arima (nuncio m) 18. Re: vertical kites in KiteChart (plotrix) (elpape) 19. Re: LME with 2 factors with 3 levels each (Dennis Murphy) 20. Re: Data Gaps (dpender) 21....

...tiple .csv-files and assigning them to variable names (Gabor Grothendieck) 32. Contract programming position at Merck (NJ, USA) (Liaw, Andy) 33. doubt in climate variability analysis in R! (govindas@msu.edu) 34. I got lot in the permutation (cbbaniya@gmail.com) 35. Re: Clustering (dpender) 36. Re: Please help me about Monte Carlo Permutation (Chitra) 37. Re: Cox Proportional Models and Haplotypes (Brad McNeney) 38. Re: draw path diagram using dot (eshi) 39. Re: Clustering (David Winsemius) 40. Tukey post hoc comparison (glht?) after 3factorial mixed model (lmer) (...

...s i/o when using Rscript versus GUI (MacQueen, Don) 48. Re: complex transformation of data (Henrique Dallazuanna) 49. Re: complex transformation of data (Henrique Dallazuanna) 50. Information (Akash) 51. Re: complex transformation of data (Den) 52. Storm Clustering using clusters in evd (dpender) 53. confidence interval (Francesco Petrogalli) 54. ordering a vector (Francesco Petrogalli) 55. How to find data that includes certain values (poppinkid) 56. Re: User input in R program (jverzani) 57. Looping with incremented object name and increment function (Michael Costello) 58. Re:...

Hi guys I have been using R for a few months now and have come across an error that I have been trying to fix for a week or so now.I am trying to build a classifer that will classify the wine dataset using Naive Bayes. My code is as follows library (e1071) wine<- read.csv("C:\\Rproject\\Wine\\wine.csv") split<-sample(nrow(wine), floor(nrow(wine) * 0.5)) wine_training <-

Hi, I am using the clusters function in the evd package in order to determine storm events from a wave time series. So far I have the code working as I want it for wave height on its own but I would now like to include the period as well. The input data is in the form of: H t H t H t so every height measurement has a corresponding period. The storms are defined when the wave height exceeds a

Hi, I am using the clusters function in the evd package and was wondering if anyone knew how to set the row names as date/time objects. My data has 1 column of date and time and another of wave height (H). My two options are: 1 - When in import the data using read.table make sure that the row.names is set = 1 giving row names to the H data. 2 - Import H from the data file and set the row names

Hi, I am trying to determine the MLE of the following function: http://r.789695.n4.nabble.com/file/n3317341/untitled.bmp I have defined both parts of the equation as separate functions and looped over the t and G values to get summations of each part. The lamda function has 3 unknowns which I am trying to determine using MLE bub tin order to try and get the overall function working these

Hi, I am looking for some help regarding the use of the mle function. I am trying to get mle for 3 parameters (theta0, theta1 and theta2) that have been defined in the the log-likelihood equation as theta0=theta[1], theta1=theta[2] and theta2=theta[3]. My R code for mle is: mle(Poisson.lik, start=list(theta=c(20,1,1), method="Nelder-Mead", fixed=list(w=w, t1=t1, t2=t2)) But I keep

R community, I am trying to create an array of the time differences between datapoints for a very large set. For some reason for 4 of the values the difference has been calculated as NA. Looking at the individual points two of them are "1981-03-29 01:40:00" and "1981-03-29 02:00:00" This is the exact same format as the other points that return values of 20 mins as expected.

Hi, I am using the uniroot function in order to carry out a bivariate Monte Carlo simulation using the logistics model. I have defined the function as: BV.FV <- function(x,y,a,A) (((x^(-a^-1)+y^(-a^-1))^(a-1))*(y^(a-1/a))*(exp(-((1^(-a^-1)+y^(-a^-1))^a)+y^-1)))-A and the procedure is as follows: Randomly generate values of A~(0,1), y0 = -(lnA)^-1 Where: A=Pr{X<xi|Y=yi-1} and a is the