similar to: lattice: problem with cex argument.

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

Hey guys, I'd really appreciate any help. I have a multivariate analysis done, the output of which is: > GraphData <-read.table("eigen.coa") > GraphData V1 V2 V3 V4 1 1 0.371970 0.8552 0.8552 2 2 0.061785 0.1420 0.9972 3 3 0.001211 0.0028 1.0000 4 4 0.000000 0.0000 1.0000 > summary(GraphData) V1 V2 V3

Hi, I'm using RF to simulate a correlated variable with GaussRF set.seed=1 GaussRF(sim.kfinegrid, grid=F, model="exponential", param=c(0,0.5,0,0.2)) However when I simulate again using the same random seed I get different results. > set.seed=1 > summary(GaussRF(sim.kfinegrid, grid=F, model="exponential", param=c(0,0.5,0,0.2))) Min. 1st Qu. Median Mean 3rd

Hello List, i have been agonizing over this for days, any reply would be greatly appreciated! Situation:___________________________________ My original dataset is a .csv dataset (w/ 2M records) with 4 variables: job_id (Primary key, won't be used for analysis, just used for join tables), sector_id (categorical variable, for 19 industry sectors), sqft (con't variable for square

I have a binary file(a) with size of (360 720 )for the globe.I wrote the code given below to read and extract an area (south america)from that file. when I use summary for the whole file I got: summary(a, na.rm=FALSE) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 0.00 1.00 3.00 4.15 7.00 20.00 200083 . But when I used summary for the region(b) which I extracted, I got

Hi, I'm trying to make a model in order to know wich factors got?s influence in the intensity of a infection, but just in the individuals who's got this infection. In my data I've got a variable called "prevalence" with 2 levels: 1.- Infected individual 0.- Non infected So what i'm trying to do is a subset in a model like this,

Hello, this is quite a minor issue but as summary() is in all likelihood one of the most widely used functions in R I decided to email this list. When producing a count of missing values, summary() in English generates an unnecessary and grammatically incorrect apostrophe (NA's rather than NAs) in its table header. For example: > summary(c(1,2,NA,3,4,NA)) Min. 1st Qu. Median Mean

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

Hi, I want to use a different text for the strips of my xyplot but I'm failing to do it. Can someone check on the following and comment ? Thanks EJ xyplot(rnorm(100)~1:100|factor(rep(c(1,2),50)), strip=strip.custom(var.name=c("M","F")))

Hello, I get > summary(E) level nodes ave_nodes time Min. : 1 Min. : 1.00 Min. : 10.71 Min. : 0.0000 1st Qu.: 237414 1st Qu.: 2.00 1st Qu.: 19.70 1st Qu.: 0.0100 Median : 749229 Median : 3.00 Median : 27.01 Median : 0.0100 Mean : 767902 Mean : 49.85 Mean : 98.89 Mean : 0.2296 3rd

Dear all, I often import data sets from other programs that contain user defined missing values. As an example consider a variable MXPLOCO with a user defined missing value of as -9. > summary(MXPLOCO) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's -9.000 4.750 5.000 5.349 6.000 8.500 2.000 The following command successfully converts the value -9 to NA. However,

Hi, I'm trying to cross compile R260 in a ubuntu 6.06 linux. I downloaded the Makefile for 251 and simply replaced the R version by 260. However I'm getting an error about mingw. ernesto at gandalf:~/ipimar/devel/R/ccompile260$ make R export

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

Hello, It appears there is a limit in the number of criteria that can be put into the Aggregate sum function. (It looks like it is 32). My code is; HSfirst=aggregate(count,

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,

Hello, there, I got this error when i tried to run " data.kr <- surf.gls(2, expcov, data, d=0.7);" "Error: cannot allocate vector of size 382890 Kb Execution halted" My data is 100x100 grid. the following is the summary of "data": > summary(data); x y z Min. : 1.00 Min. : 1.00 Min. :-1.0172 1st Qu.: 26.00

Hola colegas: He estado usando R Studo para obtener unos reportes que espero me ayuden a comprender un ejemplo que estoy tomando de la red. Usando sink("Tabla.txt") , al pedir summay(n), obtengo: sr tl 1 : 1 1: 4 10 : 1 2:13 18 : 1 3:10 30 : 1 4: 4 47 : 1 7: 9 67 : 1 (Other):34 d Min. : 1.000 1st Qu.: 2.000 Median : 5.000

The following reproducable code shows the setting of my problem: set.seed(260808) n = 50 x = rnorm(n) y = rnorm(n) z = ceiling(runif(n,0,4)) g = runif(n,0,6) G = factor(ceiling(g)) xyplot(y ~ x | G) plsy <- trellis.par.get("plot.symbol") plsy$pch = z trellis.par.set("plot.symbol",plsy) xyplot(y ~ x | G) plsy$pch = as.character(z)

Hi everybody, I want to do a contourplot in lattice with my raw data overlaid on it(xyplot) which seemed to be a very easy thing to do. I've tried it in many ways, but I haven't succeeded at obtaining it. let's say x, y, and z as the variables that comes from the data frame ''ex'': therefore my countourplot is as followed : contourplot(z ~ x * y, cuts=550) I