search for: 0.90

Dear list I'm testing a predictor and I produced nice performance plots with ROCR package utilizing the 3 standard command pred <- prediction(predictions, labels) perf <- performance(pred, measure = "tpr", x.measure = "fpr") plot(perf, col=rainbow(10)) The pred object and the perfo object are S4 with the following slots An object of class "performance"

Hello everyone,           I have a basic question regarding logical operators. > x<-seq(-1,1,by=0.02) > x   [1] -1.00 -0.98 -0.96 -0.94 -0.92 -0.90 -0.88 -0.86 -0.84 -0.82 -0.80 -0.78  [13] -0.76 -0.74 -0.72 -0.70 -0.68 -0.66 -0.64 -0.62 -0.60 -0.58 -0.56 -0.54  [25] -0.52 -0.50 -0.48 -0.46 -0.44 -0.42 -0.40 -0.38 -0.36 -0.34 -0.32 -0.30  [37] -0.28 -0.26 -0.24 -0.22 -0.20 -0.18 -0.16

hi, I don't know what I am doing wrong, but with that code; x1 <- c(1.60, 0.27, 0.17, 1.63, 1.37, 2.00, 0.90, 1.07, 0.89, 0.43, 0.37, 0.59, 0.47, 1.83, 1.79, 0.90, 0.72, 1.83, 0.23, 1.97, 2.03, 2.19, 2.03, 0.86) x2 <- c(1.30, 0.24, 0.20, 0.50, 1.33, 1.87, 1.30, 0.75, 1.07, 0.43, 0.37, 0.87, 1.40, 1.37, 1.63, 0.80, 0.57, 1.60, 0.39, 2.03, 1.90, 2.07, 1.93, 0.93) model <-

Habría que buscar la vuelta, yo no lo se, pero posiblemente lo siguiente da una pista. Nota: al mismo código le sume una línea al final datos<-c(2,3,4,5,6,7,8) quantile(datos) quantile(datos,probs = c(0.25, 0.75, 0.85, 0.90, 0.95)) as.matrix(quantile(datos,probs = c(0.25, 0.75, 0.85, 0.90, 0.95))) as.data.frame(quantile(datos,probs = c(0.25, 0.75, 0.85, 0.90, 0.95))) # ¿ y si solo solicita

Save/restore is ok against staging tree''s changeset 15020: d2ef85c6bf84, but is NOT ok against changeset 15021: 00618037d37d (Update to qemu 0.90). I use IA32pae HV; both SMP Windows 2K3 and FC5 can''t be saved properly. After "xm save dom_id 1.save" returns, Qemu window disappears, but "xm vcpu-list" still shows the domain has not been killed. If I

Hi Group, I posted this question on the ggplot list and was advised to try here also. The code below produces a plot as a png and pdf. The pdf looks great, and I cannot make the png look this way. I've tried various combinations of height, width, and dpi, but it has not worked out so far. Any suggestions to make the png look like the pdf? I received a response that the problem does not occur

Maybe this is dumb, but I seem to be having problems reading a file saved in R v. 0.99 into R 0.90.1 (in a different machine). I did >save(test1, file="test1.RData") then I tried to read that data file in R 0.90.1: >load("test1.RData") Error in load("test1.RData") : restore file corrupted -- no data loaded More info: - both machines are running Linux;

Estimado Mauricio Monsalvo Le paso una idea, no es un código muy lindo que digamos, pero al correrlo seguramente se dará cuenta de mi sugerencia. datos<-c(2,3,4,5,6,7,8) quantile(datos) quantile(datos,probs = c(0.25, 0.75, 0.85, 0.90, 0.95)) as.matrix(quantile(datos,probs = c(0.25, 0.75, 0.85, 0.90, 0.95))) as.data.frame(quantile(datos,probs = c(0.25, 0.75, 0.85, 0.90, 0.95))) # ¿ y si solo

Hi, Dear R users I have problem with the following code. The matrix result must be a matrix (3x3). But I have obtained a matrix(3x1) and I don't know why. So, I need your help Best regards ##################################################################### taille <- function (delta, t, prob = 0.2) { niv.conf <- c(0.90, 0.95, 0.99) if(niv.conf <- 0.90) { t <- 1.645 }

hello all, when running ./configure in my [new] R-0.90 directory, the process stop at the following step : (...) checking whether g77 and gcc agree on int and double... can anybody tell me what's the problem (I believe it is due to g77 but what can I do?) thanks, Mathieu I'm using Redhat 6.0 on a Intel P90 -- ----------------------------------------------------------------------

hi, i'm using /"boxplot()"/ to show some data: x <- c(0.99, 0.97, 0.91, 0.72, 1.00, 0.99, 1.02, 0.90, 0.91, 0.90, 1.02, 0.90, 1.35, 1.01, 0.92) boxplot(x) is it correct when i say: /"Boxes represent interquartile ranges (IQRs); bold horizontal lines, medians; whiskers, lowest and highest values still within 1.5 x IQR; open circles, outliers."? /thanks in advance

Full_Name: Scott Wilkinson Version: 2.3.1 OS: WinXP Pro Submission from: (NULL) (140.253.203.4) In the example below round() does not report to the specified number of digits when the last digit to be reported is zero: Compare behaviour for 0.897575 and 0.946251. Ditto for signif(). The number of sigfigs is ambiguous unless the reader knows this behaviour. Is this a bug or intended behaviour? Is

I came to report this same bug and found it already in the trash, but I slightly disagree with that assessment. If it's not a bug, then perhaps it's a feature request. Comments at the end. On Mon, May 14, 2007, Duncan Murdoch wrote: >>On 13/05/2007 8:46 PM, scott.wilkinson at csiro.au wrote: >> >> In the example below round() does not report to the specified number of

I am using R Version 2.6.2007-11-23. I do not know if the problem exists for other values or versions I encountered a problem when searching for the number 0.94 and 0.95 in a vector of values. I illustrate it below by creating a sequence of values 2 ways and then looking for the value 0.94 (same result for 0.95). It looks like the vector generated by seq( ) is a bit off: >

Dear all Is there an easy way to display only one half (top-right or bottom-left) of a correlation matrix? > require(Hmisc) > rcorr(as.matrix(mtcars[ , 1:4])) mpg cyl disp hp mpg 1.00 -0.85 -0.85 -0.78 cyl -0.85 1.00 0.90 0.83 disp -0.85 0.90 1.00 0.79 hp -0.78 0.83 0.79 1.00 n= 32 P mpg cyl disp hp mpg 0 0 0 cyl 0 0 0 disp 0 0

Dear R forum I have a following vector of random no.s x = runif(100, 0.01, 0.99)  [1] 0.47212037 0.77867992 0.33947474 0.93369035   [5] 0.03720073 0.79307831 0.81801835 0.92710688 ................................................. I need to count the random no. falling in the range (0 - 0.10), (0.10 - 0.20), (0.20 - 0.30)..upto (0.90 - 1) Thus, I need to have a data frame as

Somewhere, mdadm is cacheing information. Here is my /etc/mdadm.conf file: more /etc/mdadm.conf # mdadm.conf written out by anaconda DEVICE partitions MAILADDR root ARRAY /dev/md0 level=raid1 num-devices=4 metadata=0.90 UUID=55ff58b2:0abb5bad:42911890:5950dfce ARRAY /dev/md1 level=raid1 num-devices=2 metadata=0.90 UUID=315eaf5c:776c85bd:5fa8189c:68a99382 ARRAY /dev/md2 level=raid1 num-devices=2

Hello all, I'm new in R, and I have a data-frame like this (dput information below): Specie Fooditem Occurrence Volume 1 Schizodon vegetal 1 0.05 2 Schizodon sediment 1 0.60 3 Schizodon vegetal 1 0.15 4 Schizodon alga 1 0.05 5 Schizodon sediment 1 0.90 6 Schizodon

Hi all, I''m still not quite happy with the NA and factor handling of lm and predict.lm in R1.6.1 (forcing me to use my not very skillfully crafted patches). Here is the problem 1: >

I am trying to obtain some more detail regarding the nlm function available in the latest release of R. Specifically, what mimimization routine is being used... and ... does there exist a fortran or C version of it? Thank you, Joanna Joanna Elizabeth MILLS, M.Sc. Ph: (902) 494-3747 Dalhousie University Fax: (902) 494-5130 Department of Mathematics and