search for: 0.312

Dear R users I have a big matrix like 6021 1188 790 290 1174 1015 1990 6613 6288 100714 6021 1 0.658 0.688 0.474 0.262 0.163 0.137 0.32 0.252 0.206 1188 0.658 1 0.917 0.245 0.331 0.122 0.148 0.194 0.168 0.171 790 0.688 0.917 1 0.243 0.31 0.122 0.15 0.19 0.171 0.174 290 0.474

Dear R community members, I think I am asking a very simple question, but I really looked up in the faqs and manuals and found nothing helpful. I am trying to plot a data frame with the following structure (this is just a small extract): glo conc odor line series X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 1 0 AIR LN1 UP -0.488

Hello, I've been looking through ?phantom and ?expression and this forum for examples of how I might be able to manipulate some of the names that appear on the y-axis of the barplot below. For example, the "gw" in "ECgw" would appear as a subscript...or "qr" would be the theta symbol followed by subscript "r". My attempts haven't even come close

Dear Everybody: I'm doing my usual "how does that work in R" thing with some Stata projects. I find a gross gap between the Stata and R in Cox PH models, and I hope you can give me some pointers about what goes wrong. I'm getting signals from R/Survival that the model just can't be estimated, but Stata spits out numbers just fine. I wonder if I should specify initial

Hi Arun, thank-you very much! The 2nd option worked perfectly. That was what I wanted. Now, I have another question. I am using the R packages dataRetrieval and EGRET from https://github.com/USGS-CIDA/WRTDS. I have 2 objects Daily and Sample that have the naming convention (Names = "21NC02WQ.C1000000" or whatevver the list of site names happens to be) that I need to have after running

I have a Dell 2007FP monitor. NV43 (GeForce 6600) can not use the native resolution. 1600x1200 is listed under "DDC gathered Modelines" with the rest of the info, but then is missing from "probed modes". I have a secondary card, NV4a (GeForce 6200, PCI). It works with this card. This card does not show "DDC gathered modelines" at all, and 1600x1200 is listed

http://bugs.freedesktop.org/show_bug.cgi?id=25319 Summary: KSnapshot in allocation mode crashes X Product: xorg Version: unspecified Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org

Hi, I wrote a function which works for one group but not for multiple groups in several years. Could anyone help me out? The dateset has 3 variables, year, group, and sales. I want to calculate the annual group median adjusted sales performance for observation i in group j and year yr, I do the following procedure. For each yar, 1. exclude observation i from group j 2. calculate the sales median

Hello every body, I am trying to do a factorial anova analysis following this model: model<-anova(lm(responsevariable~factorA*factorB)) model<-anova(lm(luz$dosel~luz$estado*luz$Bosque)) Df Sum Sq Mean Sq F value Pr(>F) estado 1 6931.1 6931.1 41.6455 7.974e-06 *** Bosque 1 36.6 36.6 0.2197 0.6456 estado:Bosque 1 36.6 36.6 0.2197 0.6456 Residuals

Dear list, I am facing an unusual situation where I need to create two sets of legends based on the color mapping. Can't get exactly what I want and really appreciate any advice from ggplot experts. Let's say I have the first dataset "df1" that draws some points and based on which a "loess" line with confidence interval is added. Then the second dataset

Hello, My tests are messing with one another because it seems that they aren''t cleaning the database after execution. I have the tables headlines and articles. And the articles table has a foreign key to the headlines table. My schema structure is created by this script ---- drop table if exists changes; drop table if exists articles; drop table if exists headlines; create table

hi, - big and ugly mail. If you don't like them, delete it now :-) - I have collected and classified some information of: http://home.earthlink.net/~rwhron/kernel/bigbox.html And I observed that ext3 performance is worse than previous kernels(2.4.19...). -ac and -aa are here only as reference. Complete information is in the upper URL. dbench: Performance is worse. dbench (Numbers are in

Thanks Ayal! On Wed, Aug 17, 2016 at 2:14 PM, Zaks, Ayal <ayal.zaks at intel.com> wrote: > Hi Michael, > > > > Don’t quite have a full reproducer for you yet. You’re welcome to try and > see what’s happening in 32 bit mode when enabling interleaving for the > following, based on “https://en.wikipedia.org/wiki/YIQ#From_RGB_to_YIQ”: > > > > void rgb2yik

Dear R gurus, I am interested in permutations-based cpu-intensive methods so I had to pay a little attention to Random Number Generators (RNG). For my needs, RNGs have to: 1) be fast. I profiled my algorithms, and for some the bottleneck was the RNG. 2) be scalable. Meaning that I want the RNG to remain fast as I add threads. 3) offer a long cycle length. Some basic generators have a

I have a data matrix with genes as columns and samples as rows. I want to create all possible gene ratios.Is there an elegant and fast way to do it in R and write it to a dataframe? Thanks for any help. Som. -- View this message in context: http://r.789695.n4.nabble.com/Calculating-all-possible-ratios-tp4627405.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML

Dear all, I am attempting to explain patterns of arthropod family richness (count data) using a regression model. It seems to be able to do a pretty good job as an explanatory model (i.e. demonstrating relationships between dependent and independent variables), but it has systematic problems as a predictive model: It is biased high at low observed values of family richness and biased low at

I just tried the rsync version of R-1.1.0 on one of my alphas: It compiles without problems (gcc/g77 2.95.2, system is DU4.0E) but make check stops in base-Ex.R at > X <- cbind(1, 1:7) > str(s <- svd(X)); D <- diag(s$d) List of 3 $ d: num [1:2] 12.07 1.16 $ u: num [1:7, 1:2] -0.0976 -0.1788 -0.2601 -0.3413 -0.4225 ... $ v: num [1:2, 1:2] -0.198 -0.980 -0.980 0.198 >

Hi all, What would be an efficient way to match rows of a matrix to a vector? ex: m<-matrix(1:9, nrow=3) m [,1] [,2] [,3] [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 ################################# which(m==c(2,5,8)) # I want this to return 2 ###################### Thanks, Sachin [[alternative HTML version deleted]]

Hello everybody, Without any loop and any package, I would like to return N products of M rows in a matrix A : Today, I managed to do it with a loop : B <- matrix(NA, ncol = ncol(A), nrow = 0) for (i in 1 : N) B <- rbind(B, apply(A[sample(1 : nrow(A), M, replace = T), ], 2, prod)) Do you have a solution ? Thank you in advance ! [[alternative HTML version deleted]]

Hi Ayal, Elena, I'd really like to enable this by default. As I wrote above, I didn't see any regressions in internal benchmarks, and there doesn't seem to be anything in SPEC2006 either. I do see a performance improvement in an internal benchmark (that is, a real workload). Would you be able to provide an example that gets pessimized? I have no doubt you've seen regressions