similar to: Plotting question

Dear R-friends, For the following data: > xy x y i 1 731 0.313 2 2 739 0.340 2 3 790 0.373 2 4 855 0.451 2 5 980 0.608 2 6 575 0.156 1 7 608 0.207 1 8 630 0.249 1 9 670 0.332 1 10 838 0.377 1 11 964 0.466 1 > coplot(y ~ x|i, data=xy) coplot gives 3 panels, rather than 2, namely one for i=1 and one for i=2. Futhermore, when I extand data fram xy to have i=3 as follows:

Hello, I'm just beginning to learn R. What books/online learning modules with datasets would you suggest? Thank you! Best wishes, Michael ____________________________________ Michael McCulloch Pine Street Clinic Pine Street Foundation 124 Pine Street, San Anselmo, CA 94960-2674 tel 415.407.1357 fax 415.485.1065 email: mm at pinest.org web: www.pinest.org

Hi , I have a data frame (Data1) which has a area variable (AREA) with codes (RA,RG,LT etc.). I would like to split the data frame into individual data frames called RA, RG, LT conatining only the observations from those areas. Thanks yours sincerely Andrew McCulloch -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I'm new to R and struggling to reproduce graphs I've made with gnuplot. Example here: http://www.slamb.org/tmp/one-active.png I have three different data sets plotted on the same axis. (I also have a number of samples for each X value which I displayed with quartiles rather than plotting every point; that will likely be the subject of my next question.) My attempts to do this in R:

New to R. I am trying to create a simple xy plot wherein the line segment color is determined by a categorical column The following does not change colors for me, probably because I don't quite have a handle on either functions or value mapping syntax. ---------- time <- c(1, 2, 3, 7,10,11,14,16,20) pressure <- c(0,10,20,20,50,18,60,65,90) status <- c(0, 0, 1, 1, 1, 0, 3, 3,

Dear useRs, When I use coplot() and output to png/jpeg/bmp, the grid lines from the scatter plots disappear. If I output to pdf() the grid lines are there, however I can't use it - I have many points, and the resulting PDF file is large and very slow to open and scroll through. (By the way, if I click File-Save As-png/jpeg/bmp from Rgui.exe, the grid lines are preserved - but I need to use

Thank you to all who made very helpful suggestions to get started with R. Duncan Murdoch raised an excellent question, asking about my background and reason for using R. I'm an epidemiologist, applying the marginal structural models approach (inverse probability of treatment weights) in a Cox proportional hazards analysis. The statistical program which I had been using does not have

Hi, It is easy to understand the types vector and frame. But I am wondering why the type factor is designed in R. What is the advantage of factor compare with other data types in R? Can somebody give an example in which case the type factor is much better than other data types? Regards, Peng

Hi! I would like to know, how do you plot more than one data series when using "coplot"? I think I know the answer if "plot" is being used: x <- 1:10 y <- 1:10 y2 <- 1:10* 1.1 plot ( y ~ x, type="n" ) points( y ~ x, type = "b", col = "red" ) # plot the points and lines for the first series points( y2 ~ x, type = "b", col =

R 1.9.1 on Win2000 or Win98SE. I am using coplot as follows: coplot(AVG~LRPI| REGION) the output seems normal but I get: "Warning message: calling par(new=) with no plot" This is the only explanation that I have for being unable to use par() with coplot for changing the way the xlab and ylab appears. From within coplot I can change the text itself but not the font, fontsize, etc,

Hi,I would like add a horizontal line at 126 (col=red) and a vertical line at 6.5 ( col= blue) in each panel .How should I use the panel.abline function in the following code I am using: ------------------ library(lattice) with(reg.dat.5,coplot(lbxglu~lbxgh|eth,panel=panel.smooth,xlab="ABC", ylab="FBG")) ---------------------------------------- Thanks a lot. Professor of

Hi, I have a dataset with x and y coordinates and in each point I have an identity of point, in some cases I can have more then one identity by point. My dataset is something like this: > x <- rep(c(1:4),4) > y <- rep(c(1:4),c(4,4,4,4)) > area1 <- sample(factor(rep(c("a","b","c","d"),4))) > area2 <-

Hi All, I have data for two groups, group with 100 points and group B with 15 points. i needed plot these two groups in one scatter plot, each group with a different color. I tried plot3d(data, col = c("red", "blue")[c(rep(1, 100), rep(2, 15))], pch=20) . this works but the graph does not look good. the other option that I tried is scatterplot3d(data, type="p",

Greetings: I am unsuccessful in suppressing "Given : myvariable" from a coplot. There was such a question in the past but the thread breaks down. I am sure this is a "for dummies" question :-). I tried: coplot(myvar~myvar | myvar, show.given=FALSE, xlab="....", ylab="...", main=" ") and some other variations (including without main=" ")

G''day I''ve been performing an analysis of some data by a follow the leader method (Bad I know but it seems to work and I think I understand all the steps now) and I''ve run into a problem. The analysis is for all practical purposes identical to the non-linear mixed effects analysis performed on Ludbrooks Rabbit data in the second edition of Venables & Ripley (page

Hello - I'm trying to construct a coplot to check the residuals conditioned on a factor using the following formula, however I keep getting an error message. I've used the same formula for another data set and it worked fine - the only difference is that now I have missing values for each level (2 levels) of the factor. Is this the problem and how can I fix it. Thank you. > E2 <-

Hi, I know there is a package 'elipse' available but I'm not sure how to use it for my specific implementation. What I would like to do is fit an elipse to two lines of identity (at right angles to each other), as indicated in the following figure: http://imageshack.us/photo/my-images/30/poincareplotwip.png/ Conceptually, I'm really struggling to even come up with a way of

Hi all, I could not find a way to add the dashed horizontal separator line to the top panel of a coplot (the one indicating which panel belongs to which range of the given variable a in y~x | a). This line should separate the ranges plotted in a row of panels in the panel matrix below (hmmm, hope this is reasonably clear). I like it because it enhances readability. I'll try a sketch: >

Hello, I have a dataset with a continuous independent variable (fish length, range: 30-150 mm) and a binary response (foraging success, 0 or 1). I want to discretize fish length into 5 mm bins and give the proportion of individuals who successfully foraged in each each size bin. I have used the cut function to discretize the length values into my desired bins, but I can't figure out how to

Hi all, sorry for my english, but I don't speak yours language. I'm trying to use bart() and rbf(). The package I'm using now is "BayesTree" and "neural", respectively. I could create the models, but I can't predict my test data. Does anyone have such an experience? Any advice is appreciated! Thank you in advanced!. Andr? -- View this message in