similar to: Combining the components of a character vector

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 Help, I am trying to create a boolean vector that is TRUE whenever a particular value occurs in a numeric vector, and FALSE otherwise. For example, suppose that > y <- c(5, 2, 4, 3, 1) > y [1] 5 2 4 3 1 and suppose that I want to find where 3 occurs in y. Then, the following yields the solution: > y == 3 [1] FALSE FALSE FALSE TRUE FALSE My problem arises when the

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 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-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

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

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",

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

Hi sri, As your problem involves a few logical steps, I found it easier to approach it in a stepwise way. Perhaps there are more elegant ways to accomplish this. svdat<-read.table(text="Count id name type 117 335 sally A 19 335 sally A 167 335 sally B 18 340 susan A 56 340 susan A 22 340 susan B 53 340 susan B 135 351 lee A 114 351 lee A 84 351 lee A 80 351 lee A 19 351 lee A 8 351 lee A

Dear All, I am trying to reshape the data with some conditions. A small part of the data looks like below. Like this there will be more data with repeating ID. Count id name type 117 335 sally A 19 335 sally A 167 335 sally B 18 340 susan A 56 340 susan A 22 340 susan B 53 340 susan B 135 351 lee A 114 351 lee A 84 351 lee A 80 351 lee A 19 351 lee A 8 351 lee A 21 351 lee A 88 351 lee B 111 351

Hi Jim, Thanks for your time. But somehow this code did not help me to achieve my expected output. Problems: 1) x, y are coming as logical rather than values as I mentioned in my post 2) The values that I get for Max A and Max B not correct 3) It looks like a pretty big data, but I just need to concatenate the values with a comma, the final output will be a character

Hello. When one types "summary(fit)", where fit is an object from a call to aov(), one gets an ANOVA table. I want to save just one element of this summary. How does one extract this? As an example, here is my output from a split plot ANOVA: > summary(out)$"Error: soil.cores$block:soil.cores$treatment" Df Sum Sq Mean Sq F value Pr(>F)

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

Thanks to those who had suggestions on my last post, but none of those seems to have worked. I have narrowed down the problem a bit though, seems users can't write to a share that is not their primary group. For example: Bob's primary group is Bob and secondary group is Sally. Bob can write to the Bob group share but not the Sally group share. Anymore thoughts/suggestions. Thanks

#I would like to use the below data to make a scatter plot matrix with #code similar to that below the data #conceptually this is the right approach I think #thanks in advance melt.gg <- structure(list(stream = c("Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower",

If I have a dataframe which is organized like this: name color likes? 1 sally red 0 2 sally blue 1 3 sally green 1 4 jake red 0 5 jake blue 1 6 jake green 1 7 tom red 1 8 tom blue 0 9 tom green 0 And I want to create a matrix in the form: red blue green sally 0 1 1 jake 0 1 1 tom 1 0 0 Are there any built-in

Hello everyone, I just put together a brand new system, and I''m getting the following when I try to start a domU: > [ 1902.049066] xend[12924]: segfault at b9ff6cd8 ip 00007f36c474afe1 sp 00007f36b9ff6af8 error 4 in libxenguest.so.4.0.0[7f36c4730000+24000] This is on an AMD CPU with the AVX instructions, and I already have this in my grub.cfg: > multiboot /xen-4.1.2.gz