similar to: vectorizing test for equality

Dear Help, Suppose I have a character vector. x <- c("Bob", "loves", "Sally") I want to combine it into a single string: "Bob loves Sally" . paste(x) yields: paste(x) [1] "Bob" "loves" "Sally" The following function combines the character vector into a string in the way that I want, but it seems somewhat inelegant.

I have run into a general problem with subsetting of which the following is a simple example. Suppose that x <- c(5, NA, 7, 5, NA, 3) y <- c(1, 2, 3, 4, 5, 6) I want to extract the values of y for which x = 5, but y[x==5] yields > y[x==5] [1] 1 NA 4 NA I find that y[!is.na(x) & x==5] yields the desired result: > y[!is.na(x) & x==5] [1] 1 4 but I am wondering whether

Dear R Users, I want to write a function that applies to the dataframe and variables that were used in a previous call to lm or aov. In order to do this, I need to write a function that applies to the output of lm or aov, and yields the names of the dataframe and variables that were used in the lm or aov analysis. For example, suppose that I give the command: aov.out <- aov( Rt ~

Dear R-Help, Suppose I have a character matrix, e.g., (ch.mat <- matrix(c('a','s','*','f','w','*','k','*','*','f','i','o'), ncol=3)) When I convert 'ch.mat' to a dataframe, the columns are converted to factors: (d1 <- data.frame(ch.mat)) mode(d1[,1]) is.factor(d1[,1]) To prevent

Dear R-users, I am learning to use R 1.3.1 on a Pentium running Windows '98. I'm puzzled that several statistical procedures, t.test and chisq.test, do not appear to be available on R version 1.3.1. For example, if I type "t.test", I get the reply, "Object "t.test" not found". Is there a package that I have to load in order to have access to these

Dear R-Help, I'm using R version 1.6.0 on a Windows computer. I am trying to create a function that, among other things, constructs strings that refer to Windows files, e.g., I might want to construct a string like 'c:\work\part1.txt'. I have found that the following does not work. > paste("c:", "\", "work", "\", "part1.txt",

A student of mine wants to use R to do some nonmetric multidimensional scaling. According to the R FAQ, there's a package called pcurve that computes multidimensional scaling solutions, but I was not able to locate it the contrib page (I am a Windows user with R version 1.4.1). Can anyone tell me whether it is possible to do nonmetric multidimensional scaling with R, and if so, how? John

Hi R community, These days, I am writing some functions to work with 2-ways frequency tables ; you know all this tuff about measures of association: Chisq and derived (phi, cramer's v), tau b, tau c, somer's d and so on. So I consider all those functions could be gathered in a single R file, as they are coherent and dealing with the same problem / objective (analysis of crosstables).

Hello, I wonder if someone could help me with the following: I have generated 10 000 values from rnorm and now I want to randomly replace 500 of those with NA. The problem is that values indexed between 6-10,16-20,26-30.... only should be considered for replacement. Any suggestions? Patrik Waldmann -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

Greetings, I have a question pertaining to the concept of "environment variables" that is mentioned in the R documentation for "Startup" and also in the discussion of the Windows configuration of R in the recent book "An Introduction to R" authored by Venables, Smith, and the R Development Core Team (referred to as VS in this message). The Startup documentation and

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I sent a query to R-Help about the availability of nonmetric multidimensional scaling (MDS) algorithms in R. I would like to thank Tony Rossini, Jonathan Baron, Sundar Dorai-Raj, and Brian Ripley for helpful replies. The gist of the replies is that isoMDS in the MASS library provides Kruskal's method for nonmetric MDS, sammon in the MASS library provides Sammon's nonlinear mapping method

Dear R-Help, I am using the studres function from the MASS package to compute studentized deleted residuals in a oneway anova. I'm having trouble interpreting the results in situations where a factor level has only one observation. Sometimes studres yields an NaN and sometimes it produces a numeric value for cases where a factor level has only one observation. I would think it should

Hello, I would like to try Tcl/Tk library on Windows. I installed ActiveTCL 8.3.4.3 and add the environment variable TCL_LIBRARY linking to the directory of installation. When I load the Tcl/Tk package, I have the following error: +--------------------------------------------------------------+ Error in firstlib(which.lib.loc, package) : Can't find a usable init.tcl in the

Does this help on our backtest reporting? Regards, Gordon Morrison Global Head of Quantitative Research > * + 44 20 7653 7642 > Mob: + 44 7867 801951 > fax: + 44 20 7645 7442 > * mailto:gordon.morrison at commerzbankib.com > web: http://www.cbksec.com/research/quant > * Commerzbank Securities > 60 Gracechurch Street > London EC3V 0HR, U.K. >

Hello R communauty, I have submitted to CRAN the package R2HTML. The purpose of this package is twice: - provide base HTML exportation functions. Basically, you will use them exactly as a print function (or a cat(...file=)). Thus, making dynamic HTML reports is possible. - making live HTML output with frames and command, which is very usefull for teaching purpose, as the student can keep a

Hi (again), Please find here a correction of the function I send previously --------------------------------------------------------- tableChisqMH=function(x) { n=sum(x) G2=(n-1)*(tablepearson(x)$estimate^2) dll=1 p.value=1-pchisq(G2,dll) out=list(estimate=G2,dll=dll,p.value=p.value,dim=dim(x),name="Mantel-Haenszel Chi-square") return(out) }

Hello R-users, is it possible to navigate from one workspace to the other from within an R session or does one has to close R and restart it from the directory where resides the desired workspace? For example from Splus I have this little function, see at the end, which I used all the time to navigate between valid Splus directories. I find this particularly usefull when I develop new

Dear list members, I would like to know the difference in outputs and calculation processes between residuals.glm(object, type="response") and residuals.lm(object). For above-ground biomass estimation of trees, I estimated parameters of an allometric equation (ln y = b0 + b1*ln x) using glm as follows: fm <- glm(Ws~log(Wb), family=quasi(link="log",

Hello UseRs: Excuses for my english. I have a dataset with 65000 records and I'd like to make a summary where I can view all the values (with the number of times that it repeats) that there are each column of my dataset. I tried with summary( ), str( ), but nothing gives me the result that I am loking for. Thank you very much.