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Hi Guys I am want to join to strings in R. I am using paste but not getting desirable result. For the sake of clarity, a quick example: > a="Bio" > b="iology" > paste(a,b) [1] "Bio iology" *There is a SPACE in the word biology which is what I dont want * Thanks, -Abhi [[alternative HTML version deleted]]

I'm experiencing a new and annoying phenomenon which seems to consist of an unfortunate interaction between R-1.7.0 and netscape version 7. When I invoke help.start(), a netscape window duly appears with the browser pointed at the file .../R/doc/html/index.html as one would hope and expect. However if I then ask for help on a function, e.g. > help(glm) the help does NOT get displayed

Hopefully someone can help me. I've been running a windows 2000 Workstation and Server. This spring I added a Linux workstation (Red Hat 7.2 - Samba 2.2.3a) to the network. Took some work but that is running fine. smb.conf seems to be giving me what I want. LAN addresses are assigned with DHCP. I have had several people tell me that they have a network running with static addresses. I

Attention R users, especially those that are experienced enough to be opinionated, I need your input. Consider the following simple plot: x <- rnorm(100) y <- rnorm(100) plot(x, y, bty='n') A colleague (and dreaded SAS user) commented that she thought that my plots could be "cleaned up" by connecting the X and Y axes. I know that I can do that with bty='l' but I

I have a Master's student working on a project which involves estimating parameters of a certain model via maximum likelihood, with the maximization being done via optim(). A phenomenon has occurred which I am at a loss to explain. If we use certain pairs of starting values for optim(), it simply returns those values as the ``optimal'' values, although they are definitely not

I have from time to time seen inquiries on r-help in respect of how to obtain the estimated standard deviation from the output of fitting a linear model. And have had occasion to want to do this myself. The way I currently do it is something like summary(fit)$sigma (where fit is returned by lm()). It strikes me that it might be a good idea to have an extractor function, analogous with coef()

I've just checked out Jens Oehlschlgel's posting as regards assigning with the ``='' operator. Yep, the phenomenon described really does happen. And yep, it sure seems ***very*** dangerous to me. Mind you, using ``='' as the assignment operator strikes me as being dangerous anyhow. Bad design decision by the S people (by John Chambers?) and R should ***not*** have

I've just installed version 1.4.0 of R, and am experiencing a puzzling phenomenon with the library() function. I have .lib.loc set as follows: > .lib.loc [1] "/usr/local/lib/R/library" "/home/faculty/rolf/Rlib" If I invoke > library(melvin) I get the error message Error in library(melvin) : There is no package called `melvin' but if I invoke >

I have vague recollections of seeing this question discussed on r-help previously, but I can't find the relevant postings. I want to determine (from within a given function) the name of the function calling that given function. E.g. if I have a function foo() which calls a function bar(), and also a function clyde() which calls bar(), I want to have, in the code of bar(), an instruction

I got bitten recently by the following behaviour of detach(); > save(file="Junk") > attach("Junk") > search() [1] ".GlobalEnv" "file:Junk" "package:methods" "package:ctest" [5] "package:mva" "package:modreg" "package:nls" "package:ts" [9]

I'm mystified by a Windoze ``phenomenon'' which has just bitten me. I have a laptop which boots either Windoze or Linux; I (sad to say) need the Windoze OS for teaching purposes. I have R 1.9.1 installed on the laptop in the Windoze OS. Just now I decided to install, under the Windoze version of R, a library (``Misc'') of some local functions that I have collected over the

I am using/trying to use R 2.2.0. I have created a package of ``supplementary'' time series functions for use by my students in a time series course. The package involves only raw R code; no dynamic loading to complicate matters. I need to install this package in a location on a local area network where the students can access it under Windoze. In the past I learned that I could do

Folks: I thought the following excerpt from Bruce McCullough's post would be a good candidate for the R fortunes package -- except that it's about Excel, not R! So I nominate it... but leave it to others to say whether it's really "qualified" to be nominated. ---- "The idea that the Excel solver "has a good reputation for being fast and accurate" does not

Why does R think these numbers ***are*** equal? In a somewhat bizarre set of circumstances I calculated x0 <- 0.03580067 x1 <- 0.03474075 y0 <- 0.4918823 y1 <- 0.4474461 dx <- x1 - x0 dy <- y1 - y0 xx <- (x0 + x1)/2 yy <- (y0 + y1)/2 chk <- yy*dx - xx*dy + x0*dy - y0*dx If you think about it ***very*** carefully ( :-) )

Hi all, I 've just reinstalled from the scratch my Windows 2000 (Italian version) on a formatted HD, because I like to clean the environment from time to time (say once a year). I'm currently using XEmacs-21.4.13 and R (rw1091) and Xemacs is configured as described in http://socserv.socsci.mcmaster.ca/jfox/Books/Companion/ESS/ess-xemacs.pdf The problem is that the command help.start()

Faraway's book titled "Practical Regression and Anova using R", with full text available online at: http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf refers to a data set, stat500, which compares midterm and final grades. It can be used to illustrate similar concepts. A google search for faraway.zip will locate the actual data. --- Date: Sun, 15 Feb 2004 10:37:08 -0800

This may not actually be an R/Splus problem, but it started off that way ..... ===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+=== Executive summary: ================== Simulations involving extreme value distributions seem to ``work'' when the underlying distribution is exponential(1) or exponential(2) == chi-squared_2, but NOT when the underlying distribution is

Imagine that I have a large number of points (given by coordinates x and y) that vary in density per space. For the purpose of demonstration it could be generated like this: s <- data.frame(x=runif(10000,0,900),y=runif(10000,0,900)); plot(s) I want to create polygons around the points where point density is greater than a selected threshold (for example, by using krieging or equivalent

Dear R-helpers: May I ask a question related to storing a number of lmer model fit into a list. Basically, I have a for-loop (see towards the bottom of this email) in the loop, I am very sure that the i-th model fit (i.e.,fit_i) is successfully generated and the character string (i.e., tmp_i) is created correctly. The problem stems from the following line in the for-loop #trouble making line

I have noticed a slightly puzzling behaviour exhibited by smooth.spline(). If I do sss <- smooth.spline(x,y) for a certain pair of data vectors x and y, and then do length(sss$x) I get the result ``18''. However if I do length(unique(x)) I get ``27''. Trying to force smooth.spline() to use more knots I tried sss <- smooth.spline(x,y,all.knots=TRUE) but again