similar to: Editing figure without re-running the plotting code?

Hi All- I have 24 boxplots on one graph. I do not have the whiskers extending to the outliers, but I would like to label the maximum value of each outlier above the whiskers. I have the stats but am having trouble figuring out how to label the whiskers. Any suggestions would be great! sherri

Hi All- I have a data set (spdco2) > spdco2 [,1] [,2] [,3] [1,] 1 5.4 382.4212 [2,] 2 5.1 383.0315 [3,] 3 4.8 383.9520 [4,] 4 4.7 384.4376 [5,] 5 4.7 384.5929 [6,] 6 4.4 384.8864 [7,] 7 4.1 385.2156 [8,] 8 3.8 385.2919 [9,] 9 3.7 385.5925 [10,] 10 3.9 385.6801 I am subsetting it to output when [,2] is >= 4.7 .

Dear All - I would like to make multi-page plots, but my plots are writing over one another - thus leaving just the last plot. Here is what I am doing: pollutionRose(temp, "nox", type="hour") update(trellis.last.object(), layout =c(3,3,3) ) I would like 24 plots with 9 plots/page (the last page would not have 9 plots) Is there any way to "force" layout to make 3

Dear All- I have been given some Rcode that was written using a Linux OS, but I use Windows-based R. The person that is giving it to me said that it needs to run on a Linux system. Does anyone have any insight and/or can verify this. I haven't yet obtained the code, so I haven't been able to try it yet. cheers- sherri

Dear All- I am trying to plot over one hundred figures. I do not want to save them, just walk through them to take a look. If I run the code as it is below, then the plots just rapidly run through. I tried adding a new device, but I reached the device number limit. I have gone through the online manuals, done google searches and the R Site help pages and haven't found anything to

I am trying to compare the speed of my R code with that reported by the authors of a reference paper who used Matlab. The authors of the paper state "Total CPU time for the algorithm was 10 s for the ...on a modest mobile 2.2 GHz Pentium processor running MATLAB v.6". I am using proc.time (similar to the example shown in ?proc.time) to determine the speed of my R code. Could someone

Dear All- I have a dataset that is comprised of the following: doy yr mon day hr hgt1 hgt2 hgt3 co21 co22 co23 sig1 sig2 sig3 dif flag 244.02083 2005 09 01 00 2.6 9.5 17.8 375.665 373.737 373.227 3.698 1.107 0.963 -0.509 PRE 244.0625 2005 09 01 01 2.6 9.5 17.8 393.66 384.773 379.466 15.336 11.033 5.76 -5.307 PRE 244.10417 2005 09 01 02 2.6 9.5 17.8 411.162 397.866 387.755 6.835 5.61 6.728

Dear all- I have a dataset (see a sample below - but the whole dataset is June 2005 - June 2008). The "LST" format is "YYMMDDHHmm" and I would like to get the hourly average of the "mph" for the summer months (spanning all years). I have been trying to use "aggregate" but am not having much success at all! any thoughts would be greatly appreciated.

I'm new to the topic of wavelets. When I tried to use the mra function in the wavelets package, the data is not getting compressed. eg. if the original data has 500 values , the output data also has the same. However in MATLAB, depending on the level of decompositon, the data gets compressed. How do I implement this in R? -- View this message in context:

hi all- i am creating a boxplot and would like to shift the x-axis tick marks (named 1:23) so that the ticks are in between the boxes and not centered in the middle of the boxes. i have searched the help files and google and have not found what i am looking for. does anyone know how to do this? thanks! s.heck University of Colorado, Boulder

Hi, I have been searching everywhere for an implementation of those algorithms, but I have only observed them in Matlab and on the literature. I noticed a package called 'ada' in CRAN but it is not for multi class. I would be happy with just Adaboost.m2, Smoteboost over adaboost.m2 or any other combination that could account for imbalanced multiclass classification problems. Thanks!

Apologies for the intrusion. I am a lurker on list. I have been working to convert a digitized signal from a matlab file into R for analysis and other applications. R.matlab is working fine, and it is easy to convert the matlab date-time number (days since year 0) into R date-time numbers (seconds since 1970-01-01). Unfortunately, when I cast the R date-time number into POSIXct format it seems

I want to classify bipolar neurons in human cochleas and have data of the following structure: Vol_Nuc Vol_Soma 1 186.23 731.96 2 204.58 4370.96 3 539.98 7344.86 4 477.71 6939.28 5 421.22 5588.53 6 276.61 1017.05 7 392.28 6392.32 8 424.43 6190.13 9 256.41 3850.51 10 249.17 3118.14 11 276.97 3037.29 12 295.30 3703.76 13 314.43 5265.97 14 301.15 5781.73 I

Dear All- I am trying to create a legend where the first 9 terms are represented as pch=16 in one column (which I am able to do); but, I would like the last two terms in that column to be 'lines" (which are black and red - just as it looks like in the plot). I have read through many help pages and searched the help listserv, but haven't figured this one out yet. Does anyone have

I'm running R 2.15.2 on Max OS X 10.6.8 If I write a simple file Data1<-1 DF<-data.frame(Data1) colnames(DF)<-"Col1" and write to a csv file write.table(DF,file="Data.csv",sep=",",row.names=FALSE,col.names=TRUE) I can then append to it no problem Data2<-2 Data3<-4 DF2<-data.frame(Data2) DF3<-data.frame(Data3)

Dear All- I am trying to merge two data files - they have different date formats and different times zones. I need to match up the date/time of the datasets and then invoke a conditional statement, such as: if dataC$mph is >= 12 then keep dataM$co23 for the corresponding time/date stamp. snippets of data files: *dataC.txt* LST in mph Deg DegF DegF2 % volts Deg

Are they the same with .RData being the newer format?? Thanks, ...Tao

Dear all, I have an R script that uses Rcpp, and I have been trying to parallelize it using mclapply (I tried with the multicore and the parallel library) Sometimes (not always, interestingly), the CPU use for each core drops, usually so that the total over all cores reaches 100%, i.e., as fast as if using just one single core fully. I tried my code directly from within emacs, and also using a

Hi, I'm trying to user lmer function from lmerTest package because, if I understood correectly, it allows to make better inference than lmer method from lme4 package. However, whatever I do I keep getting this error: Error in lme4::lFormula(formula = mark ~ ssCount + sTime+ : rank of X = 1660 < ncol(X) = 1895 any ideas what could be a problem? thanks, Srecko [[alternative HTML

Hello r-help, I've been banging my head against the computer in an attempt to learn how to divide my matrix into segments by rows. I want to be able to return each segment as a newly named object. I've tried looking at the apply functions and creating a for loop but brain no work. Here's the basic starting objects that I believe would be needed to separate the matrix. mat <-