similar to: subset bug?

Hello, I submitted this bug report to r-core and got a rejection saying I should post to r-help. This is my first time ever submitting a bug report, so forgive me if I'm using some wrong format. So, here's my bug report: Component: Graphics OS: Mac OS 10.5.8, X11 XQuartz 2.5.0 Summary: In the symbols function of the graphics package, scaling of the y-axis is wrong, causing symbols

I'm using (Linux version) xfig() within a function and then simple matplot() and matline() plots. Although I do not define any bg or fg default color, sometimes all lines in the final fig file are green. The same code works as (I) expected if I use x11() or pdf(). This is what I'm doing: I open 2 devs: xfig() dev.set(2) layout(mat1) xfig() dev.set(3)

Hi all, I use the symbol functions to draw circles. But the argument lty does not work on windows but works correctly on my macbook: x <- -4:4 y <- -4:4 plot(x,y,type="n") symbols(0, 0, add = TRUE, circles = 1, inches = 1, fg="black", lty="solid") symbols(0, 0, add = TRUE, circles = 1, inches = 2, fg="black", lty="dashed") The

Dear all I am a BEGINNER and have R on my Mac. I saved my excel file as .txt file, I have just one column with first row as the column name. My file when read by R looks like this. After reading the table I try to make a histogram by hist(dbh), it says object dbh not found. What am I doing wrong? thanks dbh 1 11.53 2 16.05 3 7.36 4 16.05 5 8.66 6 12.74 7 22.93 8 7.55 9

Hi, I am trying to draw a dotted circle by using symbols command: symbols(0, 0, circles = 1, inches = FALSE, fg = 'gray', lty=2) But it gives me a solid line. I was just wondering whether am I making a mistake? Ved [[alternative HTML version deleted]]

Dear RUsers, I am new to R. I am learning how to use R. I am a PC user and run R on windows. I would appreciate if some one could guide me on a few questions I have: 1) I have 4 cel files (2 replicates for NORM and Disease resp). I have been able to run siggenes on this dataset where I have 4 labels in the class file groupsnhi.cl op-> (0,0,1,1) and my data has been read into datrmanhi after

Is there a grayscale equivalent to alpha levels in rgb? Example: I have the following to make red transparent circles overlap with previously plotted blue symbols. symbols(x=sites$long,y=sites$lat,circles=log(sites$prop.nem +1),add=T,inches=F,bg=rgb(red=1,green=0,blue=0, alpha=0.5),fg=rgb(red=1,green=0,blue=0, alpha=0.5)) I'm having a hard time coming up with a grayscale equivalent.

I'm new to R and i'm having some trouble with a bubble chart. Basically I have 3 series (a,b,c), but the third one is a binnary variable (assumes only 0 or 1 to the entire data). How can I use these binnary information to make 2 different colours in a bubble chart?. I.e., I'm using this code: symbols(inv$a, inv$b, circles=radius, inches=0.35, fg="white", bg="red",

Hi all, I'm an R newbie, I did this script to create a scatterplot using the "tree" matrix from "datasets" package: library('datasets') with(trees, { plot(Height, Volume, pch=3, xlab="Height", ylab="Volume") symbols(Height, Volume, circles=Girth/12, fg="grey", inches=FALSE, add=FALSE) } ) I'd like to use the column Named

Greetings, I am printing lattice plots from the R-interface to a printer, and although the y-axes of the left-most panels are visable on the screen, they are not present on the paper when there are multiple panels (ie, >1). For example: trellis.device(bg='white') histogram(~dbh, data=diameter.df) ###print to a printer from the R-interface by clicking the print button on the

I'm trying to create a fairly basic map using R. What i want to get is the map of the country with circles representing a count of students in each state. What I've done so far is as following - map("state") symbols(data1$count,circles=log(data1$count)*3,fg=col,bg=col,add=T,inches=F) this gives me the map of the country, but one that's not populated by my counts. Does

Hi, there I am a graduate student new to coding in S who is hitting a bit of a wall at present using an "optim" function. I am running into some troubles, and was hoping someone might be able to recognize where I am going wrong. As background: I have constructed a loop that carries out a 365-day calculation for a mass-balance model. Basically, the model depends on 2 variables (p,

I do not know the precise language to describe the situation. But here it is what I want to do. I need to annotate a graph that contains two or more curves with labels that contain math symbols. The label must go on top of the curve. The problem is that when I annotate the plot, I can see the curve behind the label. Here it is an example using a simple straight line. x<-c(0,1)

I have created a bubble plot in R using the following formula: symbols(Data$Day.Number,Data$Team,circles=Data$Total.amount, inches=0.5, fg="white",bg="red",xlab="Day Number",ylab="Team") The data set is called Data, and I have the columns Day.Number, Team and Total.amount. The data is plotting fine, but where my y axis should have the names of each team,

Hi, I'm trying to plot an equation in two variables to get a feel for sensitivity to its parameters. I've run expand.grid to get made-up vectors of the combinations of the two independent variables, and am trying to plot the output of the dependent, M, against both the dependent in a 3d space. t <- 0:100 DBH <- 10:100 TxDBH<-expand.grid(t,DBH) time<-TxDBH[,1]

Hey, So I have a scatter plot and I am trying to plot a curve to fit the data based on a Holling Type III functional response. My function is this: nll2<-function(a,b) { conefun<-(a*DBH^2)/(b^2+DBH^2) nlls2<-dnbinom(x=cones ,size=DBH, mu=conefun,log=TRUE) -sum(nlls) } and my plot is this: plot (DBH,cones) DBH is on the x-axis and cones is on the y-axis. How do I get the curve

Now I have the forest plot data with x, y locations, and I measured the DBH for every indivicuals. The data looks like that: x=runif(100,0,100) y=runif(100,0,100) dbh=runif(100,1,100) rdata=data.frame(x,y,dbh) > rdata[1:5,] x y dbh 1 99.5354145 1.412844 34.10112 2 0.8259361 87.737036 39.12914 3 6.5678613 65.699032 22.55990 4 67.2987881 72.053877 45.83978 5 2.2491372

I've been trying to figure out how to prevent a column that is the result of an aggregate function call so that I can use it in further calculations. For example, I would like to aggregate the expf for the data.frame by sp (character) and dbh (double d=rounded to integer) using the command: > st2 <- aggregate( ntrs$expf, by=list(sp=ntrs$sp,dbh=ntrs$dbh), sum ) > st2$expf <- st2$x

Dear R-help, Here's a simple example of nonlinear curve fitting where nls seems to get the answer wrong on a very simple exponential fit (my R version 2.7.2). Look at this code below for a very basic curve fit using nls to fit to (a) a logarithmic and (b) an exponential curve. I did the fits using self-start functions and I compared the results with a more simple fit using a straight lm()

Dear people of the help list I am drying to analyze my data using the 'lmer' function and I keep having problems. This is the model: > fm1<-lmer(dbh~spec+scheme+(1|Plot),data=d, REML=FALSE). I analyse tree size (dbh) of 3 different species (spec) and 3 planting schemes (scheme). I have 5 plots, which I hope to model as a random factor. (However, the subsequent output is based on