similar to: trim function in R

Dear R-help, How can I replicate the beautiful math plot found in the right-hand side of http://www.r-project.org/screenshots/desktop.jpg? I tried the following code but didn't obtain something as beautiful. r <- seq(-10, 10, len=100) y <- cos(r^2)*exp(-r/6) par(pty="s") plot(r,y,type="l") Thanks in advance! Yung-jui Yang [[alternative HTML version deleted]]

Dear R users I have been looking for functions that can deal with overdispersed poisson models. According to actuarial literature (England & Verall, Stochastic Claims Reserving in General Insurance , Institute of Actiuaries 2002) this can be handled through the use of quasi likelihoods instead of normal likelihoods. However, we see them frequently in this type of data, and we would like to

I would like to add a footnote to this graph but do not see a "footnote" command in the package:lattice documentation. I would like to note the "span=.8" as the footnote. postscript(file= ?C:/Documents and Settings/dsonneborn/My Documents/Slovak/output/pcb_tables/smooth_PCB_lines_four.ps?, bg=?transparent?, onefile=FALSE, pointsize=20,paper=?letter?, horizontal=TRUE,

If I want to display a few polynomial regression fits I can do something like for (i in 1:6) { mod <- lm(y ~ poly(x,i)) print(summary(mod)) } Suppose that I don't want to over-write the fitted model objects, though. How do I create a list of blank fitted model objects for later use in a loop? Murray Jorgensen -- Dr Murray Jorgensen

Dear R users, I have started work in a Statistics government department and I am trying to convince my bosses to install R on our computers (I can't do proper stats in Excel!!). They asked me to prove that this is a widely used software (and not just another free-source, bug infected toy I found on the web!) by suggesting other big organisations that use it. Are you aware of any reputable

Hi list, I am trying to convert my Data from 1st following format to the second. Any comment? You could copy following in Tinn R Data<- data.frame(location=c("postcode","sector","long/lat","sector"),Grade=c(" h","m","L","h"),value=c(2,3,5,6)) #Question: how can I reshape Data to the following # Grade postcode

Dear R-Help I have some trouble to set the legend in a xyplot into two rows. The code below gives me the legend in the layout I am looking for, I just rather have it in two rows. library(lattice) schluessel <- list( points=list( col="red", pch=19, cex=0.5 ), text=list(lab="John"), lines=list(col="blue"),

Dear R-help I am wondering if somebody wrote some code to convert an adjacency list model into a nested set model. In principal I want to do the same as John Celko mentioned it here with SQL: http://groups.google.co.uk/groups?hl=en&lr=lang_en&selm=8j0n05%24n31%241 %40nnrp1.deja.com Assume you have a tree structure like this Albert / \ /

Dear R-users, I am looking for an elegant way to change some levels of a factor column in data frame according to a condition. Lets look at the following data frame: > data.frame(crit1=gl(2,5), crit2=factor(letters[1:10]), x=rnorm(10)) crit1 crit2 x 1 1 a -1.06957692 2 1 b 0.24368402 3 1 c -0.24958322 4 1 d -1.37577955 5 1 e

I use R / RStudio at work. Recently, I tried to download XLConnect package using install.packages("XLConnect") However, I got the following error message: Installing package(s) into 'WORKCOMPUTER SPECIFIC STUFF HERE Documents/R/win-library/2.15' (as 'lib' is unspecified) trying URL 'http://www.stats.bris.ac.uk/R/bin/windows/contrib/2.15/XLConnect_0.2-5.zip'

I am planning on using solid state disks with my CentOS 5.x systems. Currently, I am using EXT3 for the file system. >From what I can find, CentOS 5.x does not support TRIM on solid state disks? Is this correct? Should I obtain and build the updated hdparm and use that to trim my drives (for example, via CRON every night at midnight)? Or should I get fstrim (updated util-linux)? Any other

(I see this in both R-patched r43124 and R-devel r43233.) In the Argument section of ?mean: trim the fraction (0 to 0.5) of observations to be trimmed from each end of x before the mean is computed. Values outside that range are taken as the nearest endpoint. Then in the Value section: If trim is non-zero, a symmetrically trimmed mean is computed with a fraction of trim observations

Regarding unusual combinations of factors in categorical data. Are there any R packages that can be used to identify the outliers i.e. unusual combinations in categorical datasets ? Thanks. ================================================================================ Notice of Confidentiality This transmission contains information that may be confidential and that may also be

I get the following log messages using rsync 2.5.1 compiled on Solaris 8 when using the "hosts allow" option in rsyncd.conf: 2002/01/23 12:09:51 [28276] rsync: reverse name lookup mismatch on fd0 - spoofed address? 2002/01/23 12:10:18 [28276] rsync: connection unexpectedly closed (16 bytes read so far) Resolv.conf/DNS are configured and working properly with both A and PTR records

I feel like an idiot posting this because every language I've ever seen has a string function that trims blanks off strings (off the front or back or both). Ideally, it would process whole data frames/matrices etc but I don't even see one that processes a single string. But I've searched and I don't even see that. There's a strtrim function but it does something completely

To whom it may concern, Would appreciate it if anyone knows how we might easily exclude NFS mount points within a file system from being rsync'd? Regards, Craig Donnelly Andel Consulting 10 Fenchurch Avenue London EC3M 5BN Tel: 0207 6655055 Fax: 0207 6655060

H all, I have relative abundance data from >100 sites. This is from acoustic monitoring and usually the data is for 2-3 nights but in some cases my be longer like months or years for each location.. The data output from my management data base is proved by species by night for each location so data frame would look like this below. What I need to do is sum the Survey_time by Spec_Code for

The first two patches implement the change discussed here: https://www.redhat.com/archives/libguestfs/2016-April/msg00178.html The third patch fixes the mapping of inspection data to OVF VmType which was inherited directly from old virt-v2v and had never been changed. It had a number of problems. The fourth patch is only slightly related to the others. It adds an extra slow test to ensure that

Recently we changed Postfix to use Dovecot for our SASL authentication and we ran into trouble with some of our clients having extraneous spaces at the end of their usernames. The quick fix was to add a space to username_chars. The slightly longer fix was a pretty simple patch to Dovecot. I put the trimming in auth_request_fix_username. I didn't think it warranted a full strfuncs

subject: trimmed mean in R seems to round the trimming fraction to r-help at stat.math.ethz.ch. Consider the following example of 10 numbers. 10% trimmed mean is correct but you can see that the result is the same for many trimming fractions till 0.20! For example 13% trimmed mean should use interpolation of second and eighth ordered observation. R does not seem to do this. The correct 13%