similar to: Error in lm.fit(

Hi, I have the following data and there is no binary operator contained, however, I still receive the error message when running unitrootTest function, could someone give me a guidance on it?? >readClipboard() [1] "245" "246" "261.5" "275.5" "307" "284.5" "289" "313.5" "323.75"

  Dear R helpers   Suppose I have two sets of ranges (interest rates) as   Range 1 : (7 – 7.50, 7.50 – 8.50, 8.50 – 10.00) with respective probabilities 0.42, 0.22 and 0.36.     Range II : (11-12, 12-14, 14-21) with respective probabilities 0.14, 0.56 and 0.30 respectively.     My problem is to form the combinations of these ranges in a decreasing order of joint probabilities. It is assumed that

Hi, I haven't tried the code yet. Is there a way to parse this data using R and create bar plots so that each program's 'RAM used' figures are grouped together. So 'uuidd' bars will be together. The data will have about 50 sets. So if there are 100 processes each will have about 50 bars. What is the recommended way to graph these big barplots ? I am looking

Hello Helpers, I have some problems with fitting the model for my data... -->my Literatur says (crawley testbook)= Non-normality of errors-->I get a banana shape Q-Q plot with opening of banana downwards Structure of data: origin wt pes gender 1 wild 5.35 147.0 male 2 wild 5.90 148.0 male 3 wild 6.00 156.0 male 4 wild 7.50 157.0 male 5 wild 5.90

G'day. I have a UPS here that is driven by the Fenton UPS driver, and which requests that I report the ID string to the NUT developers: root@anu:~# upsdrvctl start smk800 Network UPS Tools - UPS driver controller 2.0.4 Network UPS Tools - Fenton UPS driver 1.22 (2.0.4) Unknown ups - please report this ID string: #M+H SMK-800 2000 V6.2 Detected Unknown MK-800 on /dev/ttyS0 The

Dear All, I am running Slackware64-14.1(Linux marto 3.10.17 #1 SMP Fri Feb 14 16:39:21 CST 2014 x86_64 Intel(R) Pentium(R) CPU G3250 @ 3.20GHz GenuineIntel GNU/Linux) with kernel 3.10.17 and nut package nut-2.6.5-x86_64-1_SBo, buit from source using the build script http://slackbuilds.org/repository/14.1/system/nut/ In the README.Slackware it is suggested that the commands for killing the

Hi all, I have an eaton ENV800HA connected for a freebsd 9.0 box with nut 2.6.5 installed (on the supported list). The UPS is connected using the Blazer_USB driver (not sure how to check its version). When I kick off upsd it detects the UPS no problems and I get all my information: battery.charge: 100 battery.voltage: 13.60 battery.voltage.high: 13.00 battery.voltage.low: 10.40

This is my a part of my data set > D[1:15,c(1,5:10)] X. media IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010 1 1108 22.00000 60.0 39 4.0 8.0 16.0 5.0 2 1479 110.00000 NA NA 53.0 1166.0 344.8 110.0 3 1591 86.60000 247.0 87 95.0 94.0 81.0 76.0 4 3408 807.00000 302.0 322 621.0 1071.0 1301.0 1225.0

Hello, I get > summary(E) level nodes ave_nodes time Min. : 1 Min. : 1.00 Min. : 10.71 Min. : 0.0000 1st Qu.: 237414 1st Qu.: 2.00 1st Qu.: 19.70 1st Qu.: 0.0100 Median : 749229 Median : 3.00 Median : 27.01 Median : 0.0100 Mean : 767902 Mean : 49.85 Mean : 98.89 Mean : 0.2296 3rd

Dan Nordlund wrote: "It would be necessary to see the code for your 'brief test' before anyone could meaningfully comment on your results. But your results for a single test could have been a valid "random" result." I've re-created what I did below. The problem appears to be with the weighting process: the unweighted sample came out much closer to the actual

Hi, to get the residuals and coefficients I did the following: kurse <- read.table("kurse.txt" header=T) the data: index bmw mru rwe vow kar sie bas 1 159,70 74,18 338,21 89,03 110,30 141,23 178,53 67,97 2 160,76 73,46 343,66 89,38 110,30 142,66 180,45 68,30 3 162,45 74,18 349,12 91,54 108,54 146,22 183,12 68,85 4 162,18 72,74 349,12 92,20 106,43 144,80 181,75

Hi I have a set of data like this: *Time of Day* *Pct of Daily Volume* 9:45 7.50% 10 6.25% 10:15 4.45% 10:30 4.80% 10:45 4.45% 11:00 4.20% 11:15 2.50% 11:30 2.30% 11:45 2.25% 12:00 2.45% 12:15 2.60% 12:30 2.00% 12:45 2.05% 13:00 2.40% 13:15 1.90% 13:30 3.10% 13:45 2.90% 14:00 2.80% 14:15 2.50% 14:30 3.40% 14:45 4.40% 15:00 5.40% 15:15 4.00% 15:30 4.70% 15:45 6.20% 16:00 8.50% I want to fit

Hello Timo, I will try this evening. Kind regards, Andr?. On 10 December 2018 07:56:26 GMT+00:00, Timo Sirainen <tss at iki.fi> wrote: >On 10 Dec 2018, at 7.50, Andr? Rodier <andre at rodier.me> wrote: >> >> On 2018-12-09 23:13, Timo Sirainen wrote: >>> On 9 Dec 2018, at 16.44, Andr? Rodier via dovecot ><dovecot at dovecot.org> wrote:

Hi, I'm having especially hard time today and couldn't find any clue/answer through the internet. ?I hope you can help. I'm in a process of writing a script to estimate error correction model, and I was following an example in Bernhard Pfaff's Analysis of Integrated and Cointegrated Time Series with R. ?I have the following price data: > head(series,15) ?? ? ? ? ? PX_SETTLE

Building the current release 2.7 branch on x86_64-apple-darwin10 with r81455 reverted, I get the following Polyhedron 2005 benchmark results (with no test failures)... ================================================================================ Date & Time : 7 Apr 2010 22:24:16 Test Name : llvm_gfortran_lin_p4 Compile Command : llvm-gfortran -ffast-math -funroll-loops -msse3

Hi All, I have a Data.frame that looks like that one below. I would like to do some text mining on it to possibly find some patterns between Opis, ACklasifikacija and Vodja. I looked over a tm package which loks promissing, more specifically DocumentTermMatrix or TermDocumentMatrix. But I can not figure out how to change my data from data.frame to Corpus or VCorpus. Globina

On Apr 7, 2010, at 8:41 PM, Jack Howarth wrote: > Building the current release 2.7 branch on x86_64-apple-darwin10 > with r81455 reverted, I get the following Polyhedron 2005 benchmark > results (with no test failures)... Very nice! A 14% speedup on a benchmark we don't tune for isn't bad. I imagine that there are several easy wins you could get on it if you were interested

Hi, I'm stuck on creating a plot with x tick labels for every Nth tick mark - how is that done? I don't see a simple solution to this in help(plot) or help(par) and what I've tried is not working, eg, the following does not work, although it seems intuitive to me that it should work: x <- seq(-100,1000,25) y <- x * x % find all the x values that are multiples of 100 tmp <-

Comparing the Polyhedron 2005 benchmark results for gfortran from llvm-gcc-4.2 of April 7th, 2010 and September 18th, 2010 (from the rc2 2.8 release branch), we seem to be regressing in performance for this release.... ================================================================================ Date & Time : 7 Apr 2010 22:24:16 Test Name : llvm_gfortran_lin_p4 Compile Command :

Hi all, I am currently building an application based on R 1.7.1 (+ compiled C/C++ code + MySql + VB). I am building this application to work on 2 different platforms (Windows XP Professional (500mb memory) and Windows NT 4.0 with service pack 6 (1gb memory)). This is a very memory intensive application performing sophisticated operations on "large" matrices (typically 5000x1500