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Hello R users, Can someone tell if there is a package in R that can do outlier detection that give outputs simiilar to what I got from SAS below. Many thanks in advance for any help! Outlier Details Approx Chi-

Hi R users, I am doing cross correlation analysis on 2 time series (call them y-series and x-series) where I need the use the model developed on the x-series to prewhiten the yseries.. Can someone point me to a function/filter in R that would allow me to do that? Thanks in advance for any help! -- View this message in context:

Hi R users, I have a time series variable that is only available at a monthly level for 1 years that I need to decompose to a weekly time series level - can anyone recommend a R function that I can use to decompose this series? eg. if month1 = 1200 I would to decompose so that the sum of the weeks for month1 equals 1200, etc.. Many thanks in advance for any help. -- View this message in

Hi R users, I have an R object with the following attributes: > str(sales.bykey1) 'by' int [1:3, 1:2, 1:52] 268 79 118 359 87 147 453 130 81 483 ... - attr(*, "dimnames")=List of 3 ..$ GROUP: chr [1:3] "III" "II" "I" ..$ year : chr [1:2] "2006" "2007" ..$ week : chr [1:52] "1"

Hi R users, I have a data frame that contains 10K obs and 200 variables where I am trying to format the numeric columns to look like the output table below (format to 2 decimal places) but I am having no luck.. Can someone tell me the best way to accomplist this? Thanks in advance for any help! str(ad.test) 'data.frame': 10,000 obs. of 200 variables: $ ID : Factor

Hi R users, Is there an easy way in R to generate the results table below using table 1 and the formula (simplified version of the real problem)? It would be easy if I knew the R equivalent of SAS's retain function, but could not find one. Thanks in Advance for any help! table1: ID X2 X3 1.00 1.00 0 2.00 0.00 3.00 1.00 4.00 3058 5.00 0.00 6.00 6.00 Formula: X3 = x2 + (.24 *

Hello R users, I am new to R and am wondering if anyone can help me out with the following issue: I wrote a function to build ts models using different inputs, but when R displays the call for a model, I cannot tell which variables it is using because it shows the arguments instead of the real variables passed to the function. (e.g Call: lm(formula = dyn(dep ~ lag(dep, -1) + indep)) --->

Hello R users, I have been trying to output all my results (text, plots, etc) into the same postscript file as one document, but have been unable to...Can anyone help me improve my code below so that I can accomplish this? Currently I have to output them separately then piece them back together into one document.. Thanks in Advance for any help! options (scipen=999, digits=7)

Hi R users, Can anyone share some example code using merge_all (from the reshape package) to merge 10 data frames into 1 file. Thanks in advance for any help! -- View this message in context: http://www.nabble.com/Merge-10-data-frames-with-3-id-columns-that-are-common-to-all-data-frames-tp22402493p22402493.html Sent from the R help mailing list archive at Nabble.com.

Hi R users, I am looking for a date function that will give the following: - The number-of-week value is in the range 01-53 - Weeks begin on a Monday and week 1 of the year is the week that includes both January 4th and the first Thursday of the year. If the first Monday of January is the 2nd, 3rd, or 4th, the preceding days are part of the last week of the preceding