similar to: how to deduplicate records, e.g. using melt() and cast()

Esteemed useRs and developeRs, I need to create a '3D line plot' (proper name?) of which an excellent example can be viewed here: http://cococubed.asu.edu/images/87a/images/unknown_pleasures.jpg I have some experience using the rgl package to create 3D PCA plots, but have no idea where to start for an image like this. I'd really appreciate suggestions & help on how might

Esteemed UseRs, I've got many biggish data frames which need a lot subsetting, like in this example: # example eg <- data.frame(A = rnorm(10), B = rnorm(10), C = rnorm(10), D = rnorm(10)) egsub <- eg[eg$A < 0 & eg$B < 1 & eg$C > 0, ] egsub egsub2 <- eg[eg$A > 1 & eg$B > 0, ] egsub2 # To make this clearer than 1000s of lines of extractions with [] # I

Have you considered to introduce a "deduplicate mode" for rsync, replacing duplicate files in the destination directory by hard links? Of course there might be a lot of problems together with this feature, but on creating backups it could help to save a lot of disk space. --link-dest might be interesting in this context, too. Regards Harri

Esteemed R UseRs, Regarding specifying arguments in functions and calling functions within functions: ## beginning ## ## some data ex <- rnorm(10) ex[5] <- NA ## example function Scale <- function(x, method=c("mean", "median")) { scl <- method scl(x) } ## both return NA Scale(ex, method=median) median(ex, na.rm=FALSE) ## both return the median Scale(ex,

This is my first excursion into using reshape2 and I want to ensure that the melt() function call is syntactically correct. The unmodifed data frame is organized this way: head(tds.anal) site sampdate param quant 1 UDS-O 2006-12-06 TDS 10800 4 STC-FS 1996-06-14 Cond 280 7 UDS-O 2007-10-04 Mg 1620 9 UDS-O 2007-10-04 SO4 7580 19 JCM-10B 2007-06-21 Ca 79 20

Esteemed UseRs and DevelopeRs, Just coming to terms with the very attractive proportional venn gernator, venneuler(), but would like to customize a few things. Is it possible to- -suppress all circle labels? -suppress only certain circle labels? -print specific text strings at specified locations within the circles? and unions? -specify circle colors? -specify label font, size & color?

Hi Dimtris and esteemed useRs, I don't understand why i get this error message when attempting to use merge() - > temp <- merge(x, y[,17, drop=FALSE], by=rownames, sort=FALSE) Error in as.vector(x, mode) : cannot coerce type 'closure' to vector of type 'any' It should work because: > all(rownames(x[order(rownames(x)),]) == + rownames(y[order(rownames(y[,17,

Esteemed UseRs and DevelopeRs, Apologies if this question belongs else where, but it does concern R's package installation/maintenance. How does one start R within Emacs/ESS with root privileges? I tried without success: > M-x sudo R Why i'm motivated to do so: It seems logical to me, as the only user of the PC, to keep my R library consolidated in the universal library rather

Esteemed R-users, heatmap.2() is yielding an inappropriate key based on my colors and break-points. In the reproducible example below, the key is inappropriate (to me) because- 1. 'Orange' is simply not represented in the key, despite its prescence in the heatmap. 2. The proportions of the key are clearly out, ie., my largest bin, (0.1 - 0.2) is half the range, but this bin (colored

Hi, I have installed R on my computer with windows 7 . I also installed reshape software, but I am not being able to work with melt cast commands . I have chjecked the commands.It is not working. Thankyou, Deepika [[alternative HTML version deleted]]

I have a data frame with a number of observed and predicted values by classification as shown below: Count Volume FCLASS 1 55000 60000 Grade Separated 2 43000 39000 Grade Separated 3 26000 26500 Major Arterial 4 19500 20000 Major Arterial ... There are four classes here: Grade Separated, Major Arterial, Minor Arterial, and Collector I am looking

I'm sorry everyone for the inconvenience of spamming the R-help... Here's the complete post: Hi everyone, > > Since it's quite a while that I used the reshape package, I now feel kind > of rusty. > > I have a data.frame like this: > > > > id Sample.Name Marker Allele.1 > Allele.2 sample_id species

I have a dataset that is based on crop output for a single crop *sugarcane*...but each observation is further subdivided into 3 kinds of sugarcane i have read the file and have also used melt it to sort it on the basis of *crop group* using melt(sugarcane, m=c("Crop_group")) -> canefile this is how it has cast the data variable value 1 Crop_group Sugarcane

Esteemed R users and developers, How does one 'programatically' list or call objects for use in a function? For example, i thought i could do something better than this: save(A.cwb, B.cwb, C.cwb, D.cwb, E.cwb, F.cwb, file="afile.RData") with something like these- prfxs <- c("A", "B", "C", "D", "E", "F") #**

Esteemed useRs and Devs, Attempts to update package:rJava to the latest version have failed. See my code and output below. Notably, as suggested here http://stackoverflow.com/questions/3311940/r-rjava-package-install-failing $ sudo apt-get install r-cran-rjava ran successfully without error or warning, but my rJava package is not updated, and remains un-updatable... Greatly appreciate any

Hello, I need to convert dataframe from: ID T0 T1 T2 A 1 2 3 B 4 5 6 C 7 8 9 to: ID Variable Value A T0 1 A T1 2 A T2 3 B T0 4 B T1 5 B T2 6 C T0 7 C T1 8 C T2 9 i tried to use melt cast but it gives me all the time not exactly what I need. Thank

Dear R helpers, I have a data.frame as given below - dat1 = data.frame(date = as.Date(c("3/30/12","3/29/12","3/28/12","3/27/12","3/26/12", "3/23/12","3/22/12","3/21/12","3/20/12", "3/30/12","3/29/12","3/28/12","3/27/12",

>Wasn't our (lld/ELF's) position on debug info size that we should focus on providing a great split-dwarf workflow and not try go too far out of our way to deduplicate >or otherwise reduce debug info size inside LLD? I recall there being some patches that made linking of large debug binaries like 1.5GB+ clang faster, but we decided to >reject those changes because split-dwarf was

Hi, I have a list of mutations, called "mutList", of the form: > head(mutList) Alu 1 AluJ 2 AluJ/F(R)AM 3 AluJ/FLAM 4 AluJ/FRAM 5 AluJ/monomer 6 AluJb It contains about 500 elements and not all of them contain the sequence "Alu". I tried using this code: Alu<-mutList[which(grep("Alu",mutList)==1)] But that simply returned

R gurus, I have a data set that looks something like this: Site Species DBH #Vines G PLOC 45.9 4 G ACNE 23.3 1 G ACNE 12.0 0 G FRAM 35.9 5 G AEGL 11.2 2 N PLOC 77.3 12 N JUNI 78.6 7 N ACNE 18.9 1 N ACNE 15.7 3 N ACRU 35.5 4 H ACSA2 24.1 6 H ULAM 35.2 7 There are 730 individual trees (22 species) from four sites in the actual data set. I would like to create a second data frame that