similar to: npmc function: 'x' must be atomic

HI, I am a new user of R and want to analyse some data using npmc. My data have several levels of factor (Site, Year and Season) and several variable (Percentages). I have tried to use npmc but I always get an error message. My data are in a table following this example: Site YEar Season Var1 Var2 .... A 2009 Dry 10 56 B ........ here is the error

Hi folks, sorry if this has been answered before, I searched long and hard before deciding to make a thread. I'm trying to include multiple variables in a non-parametric analysis (hah!). So far what I've managed to figure out is that the NPMC package from CRAN MIGHT be able to do what I need, but I can't get it to. First I created a dataset as NPMC calls for. > Ind=Individual

I followed the threads that enquired about doing post-hoc tests after doing Kruskal testing. It took me to npmc. But npmc is giving an output I do not understand. I noticed a thread entitled "npmc function: 'x' must be atomic" but there never appeared to be a resolution. > npmc(npmcinput) Error in sort(unique.default(x), na.last = TRUE) : 'x' must be atomic

Hi there, I am having a problem with package npmc. If I use the included datasets (brain, kronen) everything is fine, but if I try and use my dataset I receive an error message: Error in probval.GenzBretz(algorithm, n, df, lower, upper, infin, corr, : NAs in foreign function call (arg 2) In addition: Warning message: In probval.GenzBretz(algorithm, n, df, lower, upper, infin, corr, : NAs

Hi Does anyone know where is the package: npmc (Nonparametric Multiple Comparisons). I found the reference on R Site Search, but not the package itself on CRAN as suggested. Thanks Mauricio

Hello, I am trying to run a nonparametric comparison of multiple datasets (A-E). After importing my csv file I sorted the variable value by the letter class (representing height along a streambank). a=Z[Letter=="A"] b=Z[Letter=="B"] c=Z[Letter=="C"] d=Z[Letter=="D"] e=Z[Letter=="E"] Next I tested normality and variance assumptions and the

Hi, I recently tried to conduct non-parametric multiple comparison with npmc package, and encountered some problem; sometimes it stopped with following error. Error in uniroot(f = function(arg) p - z.dist(arg, corr = corr, df = df, : f() values at end points not of opposite sign Although I'm not quite sure about calculation of z.quaintile in npmc.R, it seems increment of

Hi, I sent an earlier message concerning this, but perhaps I wasn't clear enough. Up until about a month ago, I downloaded packages by clicking on the filename of the package. Now this action leads me to a directory listing, e.g.: drwxr-xr-x hornik/users 0 2002-03-20 18:00:54 npmc/ -rw-r--r-- hornik/users 314 2002-03-20 11:33:42 npmc/DESCRIPTION -rw-r--r-- hornik/users 202

Hi, I am using R 2.10.1 and I have a doubt. Do you know how many cases can R handle? I want to use the library npmc but if I have more than 4,500 cases I get an error message. If I use less than 4500 cases I don´t have problems with this library. Is there any way to increase the number of cases in order to use this library. Thanks in advance Julio Flores [[alternative HTML version

Hi there all, This is my first post to the list and I'll first say a few things: - R is great! - The archives of this list have helped me solve all of my problems/questions so far - I only know enough statistics "to be dangerous" I'm looking for a way to do post-hoc tests for the Friedman test. I have a dataset from a within-subjects design with 5 conditions where some of

Dear R Developers, the following CRAN packages do not cleanly pass R CMD check for quite some time now and did not have any updates since the time given. Several attempts by the CRAN admins to contact the package maintainers had no success. norm, 1.0-9, 2002-05-07, WARN sound, 0.6, 2002-08-31, WARN Bhat, 0.9-07, 2003-11-04, WARN HI, 0.1, 2003-11-04, WARN mmlcr, 1.3.2, 2003-11-15, WARN mvnmle,

Hi, I was wondering if there is a ready made function or parameter for indicating the sample size in boxplots? Here's what I came up with so far: library(ISwR) data(energy) attach(energy) boxplot(expend~stature) sample.size <- tapply(expend, stature, length) sample.size <- paste("N=", sample.size, sep="") mtext(sample.size, at=1:length(unique(stature)), line=2,

Hi, I have the following data file to be parsed and captured as a data frame: __DATA__ #GDS_ID GENE_NAME GENE_DESCRIPTION GENE_FUNCTION 1007_s_at | DDR1 | discoidin domain receptor tyrosine kinase 1 | protein-coding 1053_at | RFC2 | replication factor C (activator 1) 2, 40kDa | protein-coding 117_at | HSPA6 | heat shock 70kDa protein 6 (HSP70B') | protein-coding __END__ In particular it is

This is a lil bit off topic, but I thought I would bring it up, since we have users that are trying to run windows BOINC under wine. The wine project has a SETI@Home team (has had for some time), so if you run the windows or linux BOINC/SETI@Home client, you can join our team and apply your credits towards the project's total. Just go to

Hi, I would like to add confidence intervales to an ANCOVA with 2 covariates when using xyplot. What would be a good way of accomplishing this? --8<---------------cut here---------------start------------->8--- rm(list = ls(all = TRUE)) rm(list = c(ls())) library(lattice) ## 1. generate data random <- rnorm(200) y <- abs(random) x1.cont <- abs(random) x2.fac <-

Hi, is there a grayscale setting for lattice plots? I like the default color settings. I also like the settings that are available for setting black and white with something like this: --8<---------------cut here---------------start------------->8--- ltheme <- canonical.theme(color = FALSE) ## in-built B&W theme ltheme$strip.background$col <- "transparent" ##

Microsoft probably has unix CPUs running seti, and I see no point in running it on wine, it would just be slower. The unix client is much better. The point is if M$ have a seti team we must have one too. The Linux team is way ahead of M$ so don't worry about being redundant. Ivan.

Hello, I would like to ask all users running seti@home to join wine's team http://setiathome.berkeley.edu/team_display.php?teamid=38091 if you haven't got a seti@home account you can create one and join our team automatically by using this link http://setiathome.berkeley.edu/create_account_form.php?teamid=38091 Our current target is to catch up with the Microsoft team that's here

For those of you who don't know yet, the Wine project has it's own seti@home team, at http://setiathome2.ssl.berkeley.edu/stats/team/team_172471.html The current objective is to overtake the Microsoft team http://setiathome.ssl.berkeley.edu/stats/team/team_28.html Help is needed, please if you already have seti@home installed. If you don't, it's only 300k to download, runs natively

Hi, I was wondering if it's possible to have fonts in plots to be autoscaled to the same font size used by LaTeX in a surrounding Sweave document. Here's a short example in which the fonts of the first plot are barely readable: --8<------------------------schnipp------------------------->8--- \documentclass{article} \usepackage{graphicx} \newcommand{\mytext}{Some normal sized