similar to: Accessor functions in lattice graphics

Hi R Users, I'm trying to re-order the "site names" ("Waseca", "Morris", ...). I'm using following code: libarry(lattice) barchart(yield ~ variety | site, data = barley, groups = year, layout = c(6,1), aspect=.7, ylab = "Barley Yield (bushels/acre)", scales = list(x = list(abbreviate = TRUE, rot=45,

How to show panels for factor levels of conditioning variables which do have no values? E.g. there are panels for "Grand Rapids" when they have values: data( barley ) with( barley, dotplot(variety ~ yield | year * site, layout=c(6,2) ) ) There are no panels for "Grand Rapids" when there are no values for "Grand Rapids": my.barley <- subset( barley, ! ( site ==

Hi , Name rate HEALTHALLIANCE HOSPITALS, INC -1.06211747 MOUNT AUBURN HOSPITAL 0.50960291 STURDY MEMORIAL HOSPITAL 2.64233232 LAWRENCE GENERAL HOSPITAL 2.15628558 CAMBRIDGE HEALTH ALLIANCE 1.23623144 I would like use

Hi,Can I use "reorder" function with barchart as in dotchart? Here are some codes which do not work for me. Thanks Chetty ___________________________ a1c.cast$bmi.cat.reordered[a1c.cast$eth!="Other"] <-with(a1c.cast[a1c.cast$eth!="Other",],reorder(bmi.cat.ordered[a1c.cast$eth!="Other"], BP.FN.RATE,median )) barchart(BP.FN.RATE~

Hello ! I'm struggling again against lattice graprhics. ;) I'm trying to produce a conditionnal xyplot with two conditionning factors (let's say A and B). I want the levels of those factors (A1, A2, etc) to show in the margins of the lattice plot, not in the strips between the panels. A1 A2 A3 plot11 plot12 plot13 B1 plot21 plot22 plot23 B2 I managed to remove the

Dear all, I am trying to train a randomForest using all my control data (12,000 cases, ~ 20 explanatory variables, 2 classes). Because of memory constraints, I have split my data into 7 subsets and trained a randomForest for each, hoping that using combine() afterwards would solve the memory issue. Unfortunately, combine() still runs out of memory. Is there anything else I can do? (I am not using

Hi, this is my first time using R. I want to simulate the following process: "in a population of size N, there are i individuals bearing genotype A, the number of those bearing A is j in the next generation, which following a binominal distribution (choose j from 2*N, the p is i/2*N), to plot the probability of the next generations, my script is as follows. It cannot run successfully,

Hi, I had the following code: testp <- rcorr(t(datcm1),type = "pearson") mat1 <- testp[[1]][,] > 0.6 mat2 <- testp[[3]][,] < 0.05 mat3 <- mat1 + mat2 The resulting mat3 (smaller version) matrix looks like: NA 0 0 0 0 NA 0 NA 0 0 NA 2 0 0 2 NA To get to the number of times a '2' appears in the rows, I was

I'm having problems getting code that runs under 3.6.1 on MacOSX (and Ubuntu) to run the R version 4.0.0 on Windows. I have not tested R 4.0.0 on mac (yet). Key question: Has anything changed in R 4.0.0/Windows regarding how dynamically loaded libraries are accessed? Can someone please point me in the right direction? WORKS On MacOSX Under: R version 3.6.1 (2019-07-05) -- "Action of

Dear all I solved a problem of customised labels on strips and boxes in bwplot by this construction. > bbb <- bwplot(zavoj ~ typmleti | pu) > bbb$condlevels$pu <- c("Povrchov? ?prava", "Bez PU") > bbb$x.limits <- c("Mleto", "Mleto a s?tov?no", "Nemleto") > bbb but I wonder if some other easy option exist. Let say something

Hi All, I am dealing with a large data set which translates in to a sparse matrix, I want to load this data that is spread in approximately 17000+ files each defining a row and each file has variable number of records that come with its column number and the value that they store. I wish to load this data in memory from these files one by one. Is there anyway I can do this in R, before I start

I have a question with llvm-gcc and llvm-gfortran. Is it possible that llvm-ld can combine different bc files compiled from C programme and Fortran Programme together? For example: Compile a c program into llvm bc file by the task: # llvm-gcc -emit-llvm test.c -c -o test.bc and then compile a fortran program into llvm bc file by the task: # llvm-gfortran -emit-llvm testf.f -c -o testf.bc And

I rebuilt a test version of my yaImpute package using Uwe Ligges' windows build service. I got this reply: Check result: OK R version 2.9.0 Under development (unstable) (2009-01-27 r47756) Here is the issue: I have the following construct in help files (this example relates to "data"): \format{ A data frame with 847 rows and 29 columns: \cr\cr Ground based measurements of

Hi all, I have one question on xyplot() function. I am trying to produce a graph by this code. tmp <- data.frame(a=rnorm(20), b=rnorm(20), rho=factor(rep(1:2, c(10,10))), k=factor(rep(1:5,4))) tmp.lattice <- xyplot(a ~ b | rho*k, data=tmp, par.strip.text=list(font=5), strip=function(...) strip.default(...,

Can anyone recommend one to run under CentOS? Dnk Sent from my iPhone

I would like to revisit a problem that was discussed previously (see quoted discussion below). I am trying to do the same thing, using a string to indicate a column with the same name. I am making "foo" a string taken from a list of names. It matches the row where "item" = 5, and picks the corresponding "taxon" > foo <- list$taxon[match(5,list$item)] Let's

Hi, I found another way to throw multiple rails apps under a single domain like: http://www.domain.com/app1 http://www.domain.com/app2 changes here... http://tonyrose023.blogspot.com/2007/01/multiple-rails-apps-with- mongrel.html Tony

Hello all, I am trying to get the variance-covariance (VCOV) matrix of the parameter estimates produced from the nlminb minimizing function, using vcov.nlminb, but it seems to have been expunged from the MASS library. The hessian from nlminb is also producing NaNs, although the estimates seems to be right, so I can't VCOV that way either. I also tried using the vcov function after minimizing

This is the rsync version I am using. rsync version 2.5.5 protocol version 26 Copyright (C) 1996-2002 by Andrew Tridgell and others <http://rsync.samba.org/> Capabilities: 64-bit files, socketpairs, hard links, symlinks, batchfiles, IPv6, 64-bit system inums, 64-bit internal inums I have a file with a looooong name which I rsync from PC1 to PC2. (redhat-9) I am getting the

Hi R people: I have huge files with as many as 5000 columns. I'd really like to read only certain columns of those files. I know column names I want to read. I looked at the documentation of read.csv . Although there is a col.names option, it allows users to specify the names of the columns, rather than to pick the columns of interest. Any suggestions on how to pick the columns I want to