similar to: Showing NAs when using table()

I have two factors, WC and WD. If I want a table including all the values of each factor, including NAs, I can get a table by going: table(as.character(WC),as.character(WD),exclude=c()) Is there an easier way? I guess this is a feature request for table() Thanks, Robert. ---- Robert King, Australian Environmental Studies, Griffith University, Australia 3875 6677 Robert.King at

Estimados usuaRios: deseo hacer una consulta, debo realizar una prueba no paramétrica a un conjunto de datos que posee una variable de respuesta con tres factores que poseen interacción, o al menos debo probar ello. Es decir, realizar una prueba Scheirer-Ray-Hare o de Contrastes de rangos alineados. Estuve trabajando el paquete ARTool aunque no me queda claro

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C3738F.63DE3390 Content-Type: text/plain; charset="iso-8859-1" #I want to be able to create a new S4 class and read data into it using C code # Here is a very simple S4 object inheriting from "array", but with 5

Dear List, I've been looking tirelessly for a solution to this dilemma but without success. Perhaps someone has an idea that will guide me in the right direction. Suppose I have the following data.frame: DF = data.frame(X = c(114.5508, 114.6468, 114.6596, 114.6957, 114.6828, 114.8903, 114.9519, 114.8842, 114.8579, 114.8489), Y = c(47.14094, 46.98874, 46.91235, 46.88265, 46.80584, 46.67022,

Dear R users, I have received a table in the following format: id a b c1 c2 d1 d2 1 1 1 65 97 78 98 2 1 2 65 97 42 97 3 2 1 65 68 97 98 4 2 2 65 97 97 98 Factors of the design are: a, b, and e, where e has levels c and d. The levels c and d then have 2 replicates (r) each. Now I would like to get: id a b e r value 1 1 1 c 1 65 2 1 1

Hello, I have an unbalanced panel dataset and would like to exclude all objects that don't appear at least x times. Therefore, I would like to include a column indicating for every line how many periods are available, e.g. id, year, number 1, 2000, 3 1, 2001, 3 1, 2002, 3 2, 2001, 1 3, ..., ... This would allow me to exclude companies by setting "subset=number>=x". However, I

Hi all, i'm trying to run a two-sample t-test. i have a longitudinal data that looks like this: idn age class 1 22 1 1 22 1 1 22 1 1 22 1 2 63 3 2 63 3 2 63 3 3 43 2 3 43 2 3 43 2 3 43 2 3 43 2 3 43 2 4 37 1 4 37

I am using read.table to import a text file within R.   There are several "errors" in my text file.  An "extra" quotation mark has inadvertently been included within a few text fields.   e.g. for a pipe (|) delimited text file, I have something similar to this:   1|7|30| "dog" 2|6|25| ""cat" 3|4|20|"" 4|5| 56| "mouse" 5|3|56|

Hi R-Wizards: I've looking through the R docs and have yet to find what I'm looking for and have tried a few intermediate steps to now avail yet and rather than spend another few hours looking for the solution, I figured I would post a message. I have a matrix (actually a set of them) that I want to pull all the names of the non-zero columns into a vector/list for further processing:

R-devel, Below is a simple example calling split and unsplit on a numeric vector of length 2 where 'f' is c(1,NA). > unsplit(split(c(1,2), c(1,NA)), c(1,NA)) [1] 1 0 I noticed that the call to vector in unsplit gives us 0 as the 2nd element of the result. Is this the intended result, as opposed to NA? Thanks for your help, Jeff -- Jeff Enos Kane Capital Management jeff at

Hi, Suppose I have the following tabular data: 1729_at | TRADD | TNFRSF1A-associated via death domain | protein-coding 1773_at | FNTB | farnesyltransferase, CAAX box, beta | protein-coding 177_at | PLD1 | phospholipase D1, phosphatidylcholine-specific | protein-coding What is the right separator used for read.table function? I tried this: dat <-

I've been trying to build a bundle with the R-devel snapshot from yesterday. (Yes I know it is unstable and just tell me if I shouldn't be trying to do this yet.) It is failing with the message tar : /dev/rmt/0 : Permission denied It happens after "removing junk files" and just after the message "building dse_2000.9-1.tar.gz" It looks to be coming from the line in

Hi all, Assume that I have a data set (“xcv”) with several variables and some of the variables have a missing observation represented by -9 as shown below. I want to exclude these observations from the analysis ( as a NA). Is there a command that I can do it for the entire data set rather than one by one for each variable ( tmp <- xcv[xcv$v1 != -9, ]) V1 v2 v3 v4 11 23

Hello, I''m new to Xen and especially to the hypervisor code. I''m working off a 3.0.4.1 base and have the following questions regarding the memory management code for an x86, 32-bit platform (capable of supporting PAE). I''m doing some research into providing grant table hypercall support from a Windows 2003 HVM. I have made all the necessary changes to allow the

This code consistenly segfaults for me. Can someone please take a look and tell me if the problem is due to something I am doing or is there a problems with the dwt (idwt) functions in the waveslim library. Thanks tom library(waveslim)

Hi, I am having some difficulties with matrix operations. It is a little hard to explain it so please bear with me. I have a very large data set, large enough that it needs to be split in parts in order to deal with. I can work things on these "parts" but the problem lies in adding together these parts for the final answer. So that been said, let's say that i split the data in 2

https://bugzilla.samba.org/show_bug.cgi?id=5318 Summary: Rsync assertion in check_prior() when using --append Product: rsync Version: 3.0.0 Platform: Other OS/Version: FreeBSD Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy:

I am trying to exclude integer values from a small data frame 1, d1 that have matching hits in data frame 2, d2 (Very big) which involves matching those hits first. I am trying to use sqldf on the df's in the following fashion: df1: V1 12675 14753 16222 18765 df2: head(df2) V1 V2 13647 rd1500 14753 rd1580 15987 rd1590 16222 rd2020.....

Is there a simple way to calculate summary statistics for all the matrices or dataframes in a list? For example: > z <- list(matrix(c(2,2,2,2), ncol = 2), matrix(c(4,4,4,4), ncol = 2)) > z [[1]] [,1] [,2] [1,] 2 2 [2,] 2 2 [[2]] [,1] [,2] [1,] 4 4 [2,] 4 4 > I would like to calculate, for example, the mean value for each cell. I can do that the hard

Hi All I am trying to use the round function on some columns of a dataframe while leaving others unchanged. I wish to specify those columns to leave unchanged. My attempt is below - here, I would like the column d3 to be left but columns d1, d2 and d4 to be rounded to 0 decimal places. I would welcome any suggestions for a nicer way of doing this. d1= rnorm(10,10) d2= rnorm(10,6) d3=