similar to: (no subject)

Hi, Am I hitting some limit in match? Consider the following example: > tst<-seq(100,125,by=.2)%in%seq(0,800,by=.1) > sum(tst) [1] 76 > seq(100,125,by=.2) [1] 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 [13] 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 [25] 104.8 105.0 105.2 105.4 105.6 105.8 106.0 106.2 106.4 106.6 106.8

Hi, Am I hitting some limit in match? Consider the following example: > tst<-seq(100,125,by=.2)%in%seq(0,800,by=.1) > sum(tst) [1] 76 > seq(100,125,by=.2) [1] 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 [13] 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 [25] 104.8 105.0 105.2 105.4 105.6 105.8 106.0 106.2 106.4 106.6 106.8

Using str() in a function. I am in the early phase of learning R, and I find I spend a lot of time trying to figure out what is actually in objects I have created or read in from a file. I'm trying to make a simple little function to display a couple of things about a object, let's say the summary() and the str(), sequentially, preferably without a bunch of surplus lines between them. I

Hello, I faced something I can't understand. When I use boxplot.stats(1:10) and quantiles(1:10) the results are different for 25% and 75%: > boxplot.stats(1:10) $stats [1] 1.0 3.0 5.5 8.0 10.0 > quantile(1:10) 0% 25% 50% 75% 100% 1.00 3.25 5.50 7.75 10.00 Actually, I expected the value 3 for 25% and 8 for 75% as results of quantile(1:10). Can you please explain me

Hi, I am a total beginner with this whole thing so please have patience! I am trying to run an S-plus program with a certain line: spline(1:nrow(y), y[,1],n=100); This crashes with: Error: NAs in foreign function call (arg 8) Apparently, this is caused by the last command of spline: u <- seq(xmin, xmax, length.out = n) .C("spline_eval", z$method, length(u), x = u, y =

Dear R Community, When making a summary with a vector, the result is "numeric" and I can recall its components (like median, mean, etc.) for further use. However, if I use summary with a matrix, the result is of mode "character" (like "Median : 1.2127") and I cannot extract the results for direct further use. Thanks for any hints, Patrick -------------- next part

SUMMARY: Specific problem: I'm regridding biomass-burning emissions from a global/unprojected inventory to a regional projection (LCC over North America). I need to have boundaries for Canada, Mexico, and US (including US states), but also Caribbean and Atlantic nations (notably the Bahamas). I would also like to add Canadian provinces and Mexican states. How to put these together? General

Hi, I'm stuck on creating a plot with x tick labels for every Nth tick mark - how is that done? I don't see a simple solution to this in help(plot) or help(par) and what I've tried is not working, eg, the following does not work, although it seems intuitive to me that it should work: x <- seq(-100,1000,25) y <- x * x % find all the x values that are multiples of 100 tmp <-

Is the following behaviour of the quantile function what one would expect? > a <- 1:100 > quantile(a,.6) 60% 60.4 Philippe -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

Hi, is there a way I can calculate a summary statistics for a columns matrix let say we have this matrix x <- matrix(sample(1:8000),nrow=100) colnames(x)<- paste("Col",1:ncol(x),sep="") if I used summary summary(x) i get the output for each column but I need the output to be in matrix with rownames and all the columns beside it this how I want it

Full_Name: Barry Rowlingson Version: 1.5.0 OS: x86 linux Submission from: (NULL) (130.95.16.114) Elements of a dataframe may be a matrix or another dataframe. In this case the summary() method can do bad things: > x <- data.frame(1:10) > x$z <- data.frame(x=1:10,y=1:10) > summary(x) X1.10 z Min. : 1.00 NULL:Min. : 1.00 1st Qu.: 3.25

I haven't been able to solve two issues, really appreciate any help. Q1. Why this one goes like that? (could it be a bug?): What I want: > J_c(1,2,3) > MA_NA > MA[1]_min(J[1:2]) > MA[2]_min(J[2:3]) > MA [1] 1 2 Good, so now lets do it a little more faster (since the real vectors have over 15000 obs): > for (i in 1:2) MA[i]_min(J[i:i+1]) > MA [1] 2 3 It does the same

If I use latex(summary(X)) where X is a data frame with four variables I get something like Rainfall Education Popden Nonwhite Min. :10.00 Min. : 9.00 Min. :1441 Min. : 0.80 1st Qu.:32.75 1st Qu.:10.40 1st Qu.:3104 1st Qu.: 4.95 Median :38.00 Median :11.05 Median :3567 Median :10.40 Mean :37.37 Mean :10.97 Mean :3866

Hi, I have a few hundreds files with numerical information of different length but with the same column structure. I use the following code to get summary statistics fplist <- list.files(pattern=".*analysis") for (fp in fplist){ x2 <- read.delim(fp) summary(x2) } Summary gives something like: summary (x2) V1 V2

Full_Name: Michael Spiegel Version: 2.10 OS: Windows Vista Submission from: (NULL) (76.104.24.156) The following error is produced when attempting to call install.packages. Here is the results of the traceback: > source('http://openmx.psyc.virginia.edu/getOpenMx.R') Error in f(res) : invalid subscript type 'list' > traceback() 7: f(res) 6: available.packages(contriburl =

Hello All, I need a script to perform different actions depending on the file from which it was source()'d. Thus, my script needs a way to figure out from whence it was sourced. There seems to be some relevant information in sys.calls() (see below). However, I need to get at the name of the file that directly source the file in question. That is, just one level above. For example, in the

I'm manipulating a large dataset and need to eliminate some observations based on specific identifiers. This isn't a problem in and of itself (using which.. or subset..) but an imprint of the deleted observations seem to remain, even though they have 0 observations. This is causing me problems later on. I'll use the dataset warpbreaks to illustrate, I apologize if this isn't in

Hello everyone, I am using *mlogit* to analyse my choice experiment data. I have *3 alternatives* for each individual and for each individual I have *9 questions*. I have a response from *516 individuals*. So it is a panel of 9*516 observations. I have arranged the data in long format (it contains 100 columns indicating different variables and identifiers). In mlogit I tried the following

Hello, I don't understand the behavior of apply() on the data frame below. test <- structure(list(Date = structure(c(13361, 13361, 13361, 13361, 13361, 13361, 13361, 13361, 13362, 13362, 13362, 13362, 13362, 13362, 13362, 13362, 13363, 13363, 13363, 13363, 13363, 13363, 13363, 13363, 13364, 13364, 13364, 13364, 13364, 13364, 13364, 13364, 13365, 13365, 13365, 13365, 13365, 13365, 13365,

I have a data frame 'tmp' and a vector 'name' containing 'd2'. I want to save 'tmp' under the name hidden in 'name', and the file must have the same name, plus the extension '.rda'. So I try > tmp x y 1 1 3 2 2 4 > name [1] "d2" > assign(name, tmp) > summary(get(name)) x y Min. :1.00 Min. :3.00 1st