similar to: Help with a scatter plot

Hi All, I'm trying to find out a way to plot multi-panel pie charts. It may not be the best way to present data, but I would still need one. 1. Is anyone aware of some in-built script/function which can do this for me. I'm aware of one given in Deepayan's book, but anything apart from this? 2. I tried using Deepayan's script on following data set but it doesn't seem to work

Hi, I want to control the plots in the output of the xyplot(). It is easier to explain it through an example: #------------------------------------------------------------- library(lattice); # months months <- c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep",

I have a need to call and pass arguments to nlme() from within another function. I use R version 1.8. I have found an apparent way to make this work, but I would appreciate some comments on whether this fix is really appropriate, or there is another way to do it that does not involve changing the source code. I don't have enough experience to start changing the sorurce code of a library

I apologize for posting on this question again, but unfortunately, I don't have and can't get access to MASS for at least three weeks. I have found some code on the web however which implements the prediction error algorithm in cv.glm. http://www.bioconductor.org/workshops/NGFN03/modelsel-exercise.pdf Now I've tried to adapt it to my purposes, but since I'm not deeply familiar

Hi, I'm trying to fit a multinomial logistic regression to my data which consists of 5 discrete variables (scales 1:10) and 1000 observations. I get the following error: Error in `row.names<-.data.frame`(`*tmp*`, value = c("NA.NA", "NA.NA", : duplicate 'row.names' are not allowed In addition: Warning message: non-unique value when setting

Hi, I'm using metafor to perform a mixed-effects meta-analysis. I'd like to test whether the effect is different for animals and plants/whether "group" (animal/plant) influences the effect size, but am having trouble interpreting the results I get. I've read previous posts about QM in metafor, but I'm still a bit confused. I've dummy-coded the factors:

*I have the following function:* /plot_mi_time = function(mdata, miname) { mdata2 = mdata[row.names(hakat) == miname, ] print(mdata2) xcoords <- c(1,1,2,2,3,3,4,4,5,5,6,6) plot(c(xcoords), mdata2, xaxt="n", ylab="Expression", xlab="Time(h)", , main=miname) axis(1, at=xcoords,

Hi, Sorry for my ignorance, but how can I see if a function is 'compiled code' or plain R? E.g. the daisy function from the cluster package.

Hi, I have the following function that i use to plot graphs. plot_mi_time = function(mdata, miname) { mdata2 = mdata[row.names(mir_test3) == miname, ] # print(mdata2) xcoords <- c(1,1,2,2,3,3) plot(xcoords, mdata2, xaxt="n", ylab="Expression", xlab="Time(h)", , main=miname) axis(1, at=xcoords,

Dear all, I need some help on plotting multiple boxplots on one figure. I have three matrix A, B and C. Each of them is a 1000 by 10 matrix. The 10 columns of all three matrix correspond to the 10 values of the same parameter, say k=1, ..., 10. I want to make a plot where x axis represents different values of k. For each k value, I want to plot three boxplots, one on top of another. For

Dear All Can you please do me favor and let me know how can I compare two files but not in line-by-line basis on my CentOS server ? I mean say row#1 in file1 has the same data as say row#5 in file2 , but the comm compares them in line-by-line basis that is not intended . It seems that the diff cannot do the job as well . Thank you in advance -------------- next part -------------- An HTML

Hi all, I need to replace missing values in a matrix by 10 % of the lowest available value in the matrix. I've got a function I've used earlier to replace negative values by the lowest value, in a data frame, but I'm not sure how to modify it... nonNeg = as.data.frame(apply(orig.df, 2, function(col) # Change negative values to a small value, close to zero { min.val =

Dear users, I have a question about the storage dbox. Is it possible to deliver e-mails from two different lda? I would have two independent servers working at the same time on nfs. Is it possible since the e-mails name will be the same? Thanks in advance Alex

Hi, I want to know which distance is using in the function kmeans and if we can change this distance. Indeed, in the function pam, we can put a distance matrix in parameter (by the line "pam<-pam(dist(matrixdata),k=7)" ) but we can't do it in the function kmeans, we have to put the matrix of data directly ... Thanks in advance, Nicolas BOUGET

I have some data 'myData' in wide form (attached at the end), and would like to convert it to long form. I wish to have five variables in the result: 1) Subj: factor 2) Group: between-subjects factor (2 levels: s / w) 3) Reference: within-subject factor (2 levels: Me / She) 4) F: within-subject factor (2 levels: F1 / F2) 5) J: within-subject factor (2 levels: J1 / J2) As this is the

Hi, I'm having difficulty importing my textfile that looks something like this: #begin text file Timepoint 1 ObjectNumber Volume SurfaceArea 1 5.3 9.7 2 4.9 8.3 3 5.0 9.1 4 3.5 7.8 Timepoint 2 ObjectNumber Volume SurfaceArea 1 5.1

Hi, I would like to tabulate the likelihood for an affection. For this, I retrieve indices of affected people and controls for my data set and proceed as follows: flags <- c(rep(1, length(patient_indices)), rep(0, length(control_indices))) # dataset is a data.frame and param the parameter to be analysed: data1 <- dataset[,param][c(patient_indices, control_indices)] fit1 <- glm(flags ~

Hi I was trying to import a dataset from access database into R My code looks like below >library(RODBC) >setwd("//STATESFPSOP1/docs/CRMPO/DEPT/Retail PD") >channel<-odbcConnectAccess("MortgagePD.mdb") >Mdata<-sqlFetch(channel, "MortgagePD") But I got error messages saying Error: cannot allocate vector of size 27.9 Mb In addition: Warning

Hi everybody I have a large number of Excel speadsheets that I want to merge into one R dataframe to process. I can read them one by one with read.xls but I really need a function to read a whole directory at once and merge the columns with the same name into a single dataframe. here is what I have thus far (on Mac OS X 10.5.2. for R 2.8.0): # Define the directory where the data is

Dear R-ers, I conducted a regression analysis, and then intended to add the regression function (y=4.33+1.07x) in a graph. But the following code can only give me a text like y=a+bx. Who can help me out? Thank you very much in advance. CODE # Read data x <- c(1, 2, 3, 4, 5, 6, 7, 8, 9) y <- c(6, 5, 8, 9, 11, 10, 11, 12, 15) data01 <- data.frame(x, y) #