similar to: rotated labels in barplot with beside=T and multiple groups

Hi all, I'm new to R, and have the following problem: I wish to draw a boxplot of simple data in two columns. The x-axis (taken from first column) is grouped to intervals (using 'cut'). These intervals serve as x-value to the boxplot, and the data from the second column are the y-values. The problem is that I want to give an impression of the trend of the data in the x-range.

Dear list, I have a dataframe with two column as fellow. > head(dat) V1 V2 0.15624 0.94567 0.26039 0.66442 0.16629 0.97822 0.23474 0.72079 0.11037 0.83760 0.14969 0.91312 I want to get the column V2 mean value based on the bin of column of V1. I write the code as fellow. It works, but I think this is not the elegant way. Any suggestions?

Hi, I'm trying to customize a window with 2 graphs. I'm able to do the first one with something like this general example par(mfrow=c(1,2),cex.axis=0.85,cex.lab=0.80,mai=c(1.3,1,0.5,0),las=3) bplot<-barplot(bar.values,names.arg=cf.names,width=0.5,ylab="% Area held") abline(h=0.3,lty=3,col="red") abline(h=0.1,lty=3,col="blue")

Hi All, I have a column that contains values between 0 and 1. I would like to make a table that consists of the number of elements in each category. For example , how many elements have values between 0 and 0.1, 0.1 to 0.2, 0.2 to 0.3,etc??..0.9 to 1. Is there an easy way to do this? Thanks -- View this message in context:

Hello! I have created a bplot-figure using this code: *file <- "2dcali_red.ttt" ux<-as.matrix(read.table(file, dec = ",")) mode(ux)<-'numeric' vel<-ux[,1] ang<-ux[,2] x<-ux[,3] y<-ux[,4] dat<- data.frame(ang=ang, x=x,y=y) require(rms) ddist2 <- datadist(dat) options(datadist="ddist2") fitn <- lrm(ang ~ rcs(x,4) +

I have a plot produced by function bplot (package = rms) that is really a lattice plot (class="trellis"). It is similar to this plot produced by a very minor modification of the first example on the bplot help page: requiere(rms) n <- 1000 # define sample size set.seed(17) # so can reproduce the results age <- rnorm(n, 50, 10) blood.pressure <- rnorm(n, 120,

>Ken, did you ever get afs support compiled into 2.0.2? I am in exactly >the same boat as you are (were), where samba 1.9.18 was working great, but >2.0.2 wouldn't compile with afs support. I too tried to copy the relavant >parts of the makefile over, but ended up with the same errors as you did. >Then I found your post to the samba list, and I'm hoping that you've

Dear R community, I have a medium sized matrix stored in variable "t" and a simple function " countRows" (see below) to count the number of rows in which a selected column "C" matches a given value. If I count all rows matching all pairwise distinct values in the column "C" and sum these counts up, I get the number or rows of "t". If I delete the

Dear All, I would like to plot a scalar (e.g. a temperature) on a non-rectangular domain (or even better: I would simply like to be able to draw a contour plot on an arbitrary 2D domain). I wonder if there is any tool to achieve that with R. I did some online search in particular on the list archives, found several queries similar to this one but was not able to find any conclusive answer. I

I have a hard disk full of live shows. Each show is in an individual folder (titled by name and date of show), and contains the individual wav files of the show, labeled "disc1track1, disc1track2, etc." It's the same naming scheme in each of the 200 or so folders for each show. I want to convert each audio file to flac - is there a way to do this all at once? I can't just

I have a data.frame as follows: a 3 a 2 a 1 b 3 b 2 c 2 c 3 c 1 c 1 Each factor (a, b, c) should be monotonically decreasing, notice that factor 'c' is not. I could use some help to figure out how to form a logical structure (mostly just syntax), that will check each 'next value' for each factor to see if it is less than the previous value. If it is less than the

On Fri, Jun 21, 2013 at 7:54 AM, David Tweed <david.tweed at arm.com> wrote: > | LLVM does not currently have special lowering handling for round(), and > I'll propose a patch to add that, but the larger question is this: should > fast-math change the tie-breaking behavior of > | rint/nearbyint/round, etc. and, if so, should we make a specific effort > to > have all

Dear All, The following code save my graphs as pdf: pdf("j:/mix.pdf", width = 18, height = 16) grid.newpage() pushViewport(viewport(layout = grid.layout(3,1))) vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y) print(Aplot, vp = vplayout(1, 1)) print(Bplot, vp = vplayout(2, 1)) print(Cplot, vp = vplayout(3, 1)) dev.off() How can I save it in

Dear list, I am trying to create a three-way table with percent occurrence instead of raw frequencies. However, I cannot get the results I expected: I have the following table: > ftable(table( mannerDF$agem, mannerDF$target, mannerDF$manner )) <snip> 50 bak 0 0 0 0 1 0 pak 0 0 0 0 3 0 sak

Hi, I have a function that approximates some data and indicates "segments". I'd like to plot the original data, and then the linear approximations on top of it. (Ideally, just a subset of N rows at a time, as the data set is large.) I can't figure out a clean way to do this. Suggestions? here is some sample data: ================================== Row X Seg ?.

On Sat, Jul 12, 2014 at 3:15 PM, Alexander Perlis <aperlis at math.lsu.edu> wrote: > On 07/11/2014 09:39 PM, Gene Cumm wrote: >> >> With everything else from 6.03-pre18, try this binary (xzip-compressed): >> http://www.zytor.com/~genec/lpxelinux-6.03p18g3.tgz > > > It works! Thanks! > > Anything else I should do/report on this hardware before I upgrade the

Hi I have implented boxplots in my script to create box plots BoxplotsCheck <- readline(prompt = "Would you like to create boxplots for any Feature? (y/n):")   if (BoxplotsCheck  == "y"){     BoxplotsFeature <- readline(prompt = "Which Feature would you like to create a Boxplot for?:")     BoxplotsFeature <- as.numeric(BoxplotsFeature)     BoxplotsData

Dear R experts, I have a Matlab code which I am translating to R in order to examine and enhance it. First of all, I need to reproduce in R the results which were already obtained in Matlab (to make sure that everything is correct). There are some matrix manipulations and '\' operation among them in the code. I have the following data frame > ABS.df Pro syn

Hi r-sers, I have a data of relative frequencies for the interval of 0-20, 20-40,...380-400.  I would like the two data on the same graph using the same x-axis label.  My question is how to get a smooth curve using kernel density code if it possible for this data.   > cbind(rel_obs,rel_gen)           rel_obs rel_gen  [1,] 0.000000000  0.0000  [2,] 0.092534175  0.0712  [3,] 0.105152471  0.1092

I have the following matrix: > dat [,1] [,2] [,3] [,4] foo 0.7574657 0.2104075 0.02922241 0.002705617 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 and given this: