similar to: "argument is missing, with no default" OR "replacement has length zero"

I have two data sets: "new" and "combo". Within both data set, each row pertains to a unique individual. The "combo" data set is a subset of the "new" data set, meaning that all individuals within "combo" are within "new" but not all individuals within "new" are within "combo". Thus, nrow(new) > nrow(combo). Each

Hi all! I tried to perform Shapiro-Wilk test for my sample of 243 values. > Us [1] -10.4 -13.1 -12.2 38.1 -18.8 -13.3 -11.7 29.3 49.7 6.8 12.7 16.3 [13] 5.8 -0.7 -29.4 4.1 38.8 -1.4 8.8 15.6 32.9 -5.3 19.1 35.8 [25] 4.0 -1.5 0.6 -4.2 -10.0 -4.0 1.1 48.9 -21.0 -5.3 5.8 -10.8 [37] 21.9 8.2 -3.2 -3.9 -2.3 12.6 -4.7 -8.0 11.8 27.4 -9.5 -20.8 [49]

Hi r-users,   I have a data below but I would like to rearrange my data so that it will be in the following format: year, month, day, rain.  I also would like the data to be arranged so that it will be continues for example year 1939 it will go from january 1 to december 31 and continue with year 1940 from january 1st to 31st December and so on.  What I have now is all january for all the years

Hola!! tengo un data.frame donde cada fila corresponde a un año y cada columna a un mes (De enero a diciembre) > head(valT) V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 1941 18.0 16.3 15.2 10.1 8.1 8.3 8.8 9.2 7.9 12.2 11.9 14.6 1942 17.2 15.9 13.6 11.6 8.7 6.2 6.4 7.2 9.7 12.0 14.1 16.7 1943 17.6 17.3 13.5 12.5 10.5 7.0 8.2 7.9 -999.9 -999.9

Hi, I am very new to R and I've been trying to work through the R book to gain a better idea of the code (which is also completely new to me). Initially I imputed my data from a text file and that seemed to work ok, but I'm trying to examine linear relationships between gdist and gair, gdist and gsub, m6dist and m6air, etc. This didn't work and I think it might have something to do

Dear all, I am quite new to R; facing certain problems: Say, I have a text file( named as "try"): Year C1 C2 C3 C4 C5 C6 Y1 3.5 13.8 9.5 6.8 0.4 24.2 Y2 3.8 13.9 9.9 7.6 0.7 12.8 Y3 4.5 14.5 14.2 9.2 0.6 14.5 Y4 5.9 16.2 24.6 12.7 0.2 24.3 Y5 7.2 20.4 40.6 18.2 0.8 28.2 Y6 5.9 18.6 37.4 14.5 0.3 36.9 Y7 8.0 16.1 88.6 24.1 0.1 34.6 Y8 13.6 21.1 56.3 19.0 0.7 33.3 I wish to import the

Hello again, I'm trying to purge the indexes in i.delete from frame and end up with more rows!? Please be so kind and let me know where I screw this up ... Joh > i.delete [1] 40 45 165 212 253 270 280 287 301 352 421 433 463 467 487 [16] 517 537 542 573 594 596 612 614 621 635 650 696 699 707 732 [31] 738 776 826 891 892 936 937 935 940 976

Hi there I thought this would be of particular interest to people using 'optim' functions and perhaps people involved with R development. I've been beaten down by R trying to get it to perform an optimization on a mass-balance model. I've written the same program in excel, and using the 'solver' function, it comes up with an answer for my variables (p, ACT, which

Not sure if people are already aware of this, but it might save someone some time in the future. I''ve been tracking down the following error today, it''s rather unhelpful in telling you where the problem is in your manifests: # puppetd --test info: Retrieving plugin err: Could not retrieve catalog from remote server: Could not intern from pson: Could not convert from pson: Could

hi, i'd like to calculate a temperatursum, adding the value of each element. let's say the data looks like this: x<-c(1,2,3,4,5) what i want to do, is ploting not the sum in the end but all the subresults, too, so my vector holds: x[i] [1] 1,3,6,10,15 here is what i tried, which seems to be right to me, bu doesn't work out: x<-c(1,2,3,4,5) i<-1 j<-1

Hello, I have a binary file type that includes a zlib compressed data block (ie not gzip). Is anyone aware of a way using base R or a CRAN package to decompress this kind of data (from disk or memory). So far I have found Rcompression::decompress on omegahat, but I would prefer to keep dependencies on CRAN (or bioconductor). I am also trying to avoid writing yet another C level interface to

Dear all, I am attempting to explain patterns of arthropod family richness (count data) using a regression model. It seems to be able to do a pretty good job as an explanatory model (i.e. demonstrating relationships between dependent and independent variables), but it has systematic problems as a predictive model: It is biased high at low observed values of family richness and biased low at

Whilst on a call, I'm getting the following... -- Started music on hold, class 'default', on SIP/phone3-a7d5 -- Playing 'pbx-transfer' (language 'en') -- Unable to find extension '#' in context 'default' -- Playing 'pbx-invalid' (language 'en') ie - without anyone pushing keys - I hear the music on Hold - as does the

I have a simple vector, called tmp that I want to subset based on another vector called vec. Everything works as expected except for below where the subsetting returns something other than the original data. Any ideas? > vec <- c(1,2,3,4,5,59,60,27,32,21) > tmp [1] 1.0 1.1 2.0 2.1 2.2 3.0 3.1 4.0 5.0 5.1 6.0 7.0 8.0 8.1 9.0 [16] 9.1 9.2 10.0 10.1 11.0 12.0 13.0 14.0

Dear Listserv, Here is my latest in a series of simple-seeming questions that dog me. Consider the following data: x <- read.table(textConnection("temperature probability 0.11 9.4 0 2.3 0.38 8.7 0.43 9.2 0.6 15.6 0.47 8.7 0.09 12.8 0.11 9.4 0.01 7.7 0.83 8 0.65 9.3 0.05 7.4 0.34 10.1 0.02 4.8 0.07 9.1 0.6 15.6 0.01 8.4 0.9 9.6 0.83 8 0.12 8.4 0.01 8 0 5 0.11 9.7 0.41 7.4 0.05 9.4 0.09

Some use Dave (http://www.thursby.com/products/dave.html) or DoubleTalk (http://www.connectix.com/products/dt.html). However, we use Netatalk (http://netatalk.sourceforge.net/) successfully to share the Unix/Samba file system with our Mac clients. Is there any reason you can't use Netatalk? Khanh Tran Network Operations Sarah Lawrence College -----Original Message----- From: Corey Hart

Dear Community, I have been using two types of survival programs to analyse a data set. The first one is an R function called aftreg. The second one an STATA function called streg. Both of them include the same analyisis with a weibull distribution. Yet, results are very different. Shouldn't the results be the same? Kind regards, J -- View this message in context:

Hi, Suppose I have the following vector (data points): > x [1] 36.0 57.3 73.3 92.0 300.4 80.9 19.8 31.4 85.8 44.9 24.6 48.0 [13] 28.0 38.3 85.2 103.6 154.4 128.5 38.3 72.4 122.7 123.1 41.8 21.7 [25] 143.6 120.2 46.6 29.2 44.8 25.0 57.3 96.4 29.4 62.9 66.4 30.0 [37] 24.1 14.8 56.6 102.4 117.5 90.4 37.2 79.6 27.8 17.1 26.6 16.3 [49] 41.4 48.9 24.1

All, I have been trying to get CAPI4Linux working on my machine and being frank am failing miserably! I am looking for any help available, I am real newbie (so please be gentle) and choose to run Mandrake 9.2 as it appears quite friendly (or so I thought!). I have been following the guidance found at http://www.voip-info.org/wiki-Asterisk+How+to+connect+with+CAPI for the AVM card (actually I

I'm having some problems with ocfs2 and Suse 9.2. The documentation for ocfs2 says it comes with Suse 9.2. I've installed Suse and used YAST to get to SP2. # SPident -vv Summary (using 612 packages) Product/ServicePack conflict match update (shipped) SLES-9-x86_64 0 0% 293 47.9% 44 (1597 18.3%) SLES-9-x86_64-SP1 0 0% 110