similar to: write.csv changes the format of the date

Dear All, I encounted in a problem with as.POSIXct() function. > as.POSIXct("2009/03/26 01:00:00 AM" , format="%Y/%m/%d %I:%M:%S %p") [1] NA > as.POSIXct("2009/03/26 02:00:00 PM" , format="%Y/%m/%d %I:%M:%S %p") [1] NA I have tried this in the R version 2.11.1, R version 2.10.1 and R version 2.9.2 . They all does not work. The operation system is

Dear all I am getting this strange error when checking my package. Would you have an idea what causes it? Thank you Liviu * checking Rd cross-references ... WARNING Error in .find.package(package, lib.loc) : there is no package called 'KernSmooth' Calls: <Anonymous> -> lapply -> FUN -> .find.package Execution halted > sessionInfo () R version 2.10.0 (2009-10-26)

I stupidly decided to save my last workspace (a large dataset) and every time I open R it loads it back in. Can I stop this? Also how do you clear variables. Thanks, Sachin --- Please consider the environment before printing this email --- Allianz - General Insurance Company of the Year 2009+ + Australia and New Zealand Insurance Industry Awards This email and any attachments has been sent by

Dear all I am working on unbalanced panel data and I can readily fit a "pooling" model using plm(), but not a "within" or "random" model. Reproducing the examples in vignette("plm") and in the AER package I encountered no such issues. ##unfortunately I cannot disclose the data, and it is too big anyway > dim(ibes.kld.exp.p[x.subs , ]) [1] 13189 34

Hi all, I am just curious how to sort the groups in a categorical box plot chart bwplot here is the example: d<-data.frame(sample(rep(month.abb,20), 100), runif(100,1,10)); colnames(d) <- c("Month", "Value"); bwplot(d$Month ~ d$Value); as you can see Months are not sorted alphabetically. Does anybody know ho to sort those on the chart level? Thank you Jan

Dear all I am trying to fit Variable Coefficients Models on Unbalanced Panel Data. I managed to fit such models on balanced panel data (the example from the "plm" vignette), but I failed to do so on my real, unbalanced panel data. I can reproduce the error on a modified example from the vignette: > require(plm) > data("Hedonic") > Hed <- pvcm(mv ~ crim + zn + indus

Hi, Can you add the following two publications from our group to the LLVM publications page. - *Alive-FP: Automated Verification of Floating Point Based Peephole Optimizations in LLVM [pdf] <http://www.cs.rutgers.edu/~santosh.nagarakatte/papers/alive-fp-sas16.pdf> *David Menendez, Santosh Nagarakatte, and Aarti Gupta *To Appear in the Proceedings of the 23rd Static Analysis

Dear Rxperts, I am aware of Sweave that generates reports into a pdf, but do know of any tools to generate to export to a MS Word document... Is there a way to use R to generate and export report/publication quality tables and figures and export them to MS word (for reporting purposes)? Thanks so much, Santosh [[alternative HTML version deleted]]

Dear All, I am trying to create a empty structure that I want to fill gradually through the code. I want to use something like rbind to create the basic structure first. I am looking for a possibility to do an rbind where the columns names dont match fully (but the missing columns can be defaulted to either zero or n/a) (my actual data has a lot of columns). Please see the data frames below I

I'm attempting to create an array of treatment comparisons for modelling data generation. This involves comparison of one treatment (c2) with another (c3), relative to a common comparator (c1). Attached code gives me the correct array but need to remove duplicates. Duplicates relate only to c2 and c3 such that I need to remove r3 because c2 and c3 are same as r1 with c2 and c3 swapped r5

Hello Rxperts.. I have a peculiar situation.. XML library is not available with R2.15.1 whereas I was able to install it with R version 2.13.1. Would highly appreciate your suggestions. I am now trying to see if XML works with previous versions of R. Thanks, Santosh [[alternative HTML version deleted]]

Hello, I have a data frame as below ... in cases where I have N.A. I want to use an average of the past date and next date .. any help? 13/10/2010 A 23 13/10/2010 B 12 13/10/2010 C 124 14/10/2010 A 43 14/10/2010 B 54 14/10/2010 C 65 15/10/2010 A 43 15/10/2010 B N.A. 15/10/2010 C 65 ---------------------------------------------------------------------------- -------------------------- Thanks

Dear Rxperts! I was wondering if it is possible to write a function which can take in argument of a subset or condition.. Of course, I am aware of the alternate methods like coplot, par.plot, xyplot etc... I am specifically interested in using conditions/subsets with "plot".. A simple fragmented example is shown here.. pltit <- function(y,x,dat,dat1,dat2,sbst) { plot(y~x, data=dat,

Dear Group, I have the following data matrix which is a timeseries. > dput(tData) structure(list(A = c(0.2, 0.13, 0.05, 0.1, 0.02, 0.18, 0.09, 0.06, 0.13), B = c(0.15, 0.06, 0.09, 0.02, 0.03, 0.12, 0.01, 0.15, 0.06), C = c(-0.1, 0, -0.07, -0.06, -0.05, -0.05, -0.06, -0.08, -0.07), D = c(-0.15, -0.05, -0.1, -0.03, -0.13, -0.04, -0.1, -0.04, -0.15), E = c(-0.17, -0.16, -0.08, -0.07, -0.09,

Hello Group, Is there a simpler way to get data out of a list object? (like in data frame without using the apply functions) I have the following dataset > dput(d) list(c("20110405", "092102"), c("20110405", "092538"), c("20110405", "093458"), c("20110405", "101124"), c("20110405", "102041"),

Dear Group, I have a following dataset: > a A B C D 1 22 3 31 40 2 26 31 36 32 3 3 7 49 16 4 24 40 27 26 5 20 45 47 0 6 34 43 11 18 7 48 48 24 2 8 3 16 39 48 9 20 49 7 21 10 17 36 47 10 > dput(a) structure(list(A = c(22L, 26L, 3L, 24L, 20L, 34L, 48L, 3L, 20L, 17L), B = c(3L, 31L, 7L, 40L, 45L, 43L, 48L, 16L, 49L, 36L), C = c(31L, 36L, 49L, 27L, 47L, 11L, 24L,

Dear Rxperts, q <- data.frame(p=rep(c("A","B"),each=10,len=30), a=rep(c(1,2,3),each=10),id=seq(30), b=round(runif(30,10,20)), c=round(runif(30,40,70))) The operation below... tabular(((p=factor(p))*(a=factor(a))+1) ~ (N = 1) + (b + c)* (mean+sd),data=q) yields some rows of NAs and NaN as shown below b c p a N mean sd mean sd A 1 10

Dear R experts, There seems to be a problem (please see the error messages below) with the installation of the latest version of xpose4 (version 4.2.1) with the latest R version.(2.11.1)... I didn't face such installation problems when using version R.2.10.1 Would really appreciate your assistance in debugging installation of xpose 4..2.1 with R.2.11.1 Thanks again.. -Santosh On Wed, Jul

diff -r e6266fc76d08 -r 6feac926cf80 xen/drivers/passthrough/vtd/iommu.c --- a/xen/drivers/passthrough/vtd/iommu.c Fri Jul 27 12:22:13 2012 +0200 +++ b/xen/drivers/passthrough/vtd/iommu.c Mon Jul 30 15:35:16 2012 -0700 @@ -2137,6 +2137,15 @@ int __init intel_vtd_setup(void) { iommu = drhd->iommu; + printk("Intel VT-d supported page sizes: 4kB"); + if

Hi R-users, Was wondering if there is a way to quickly compute correlations between continuous variables grouped by some categorical variables? What function do I use? Thanks much in advance. Regards, Santosh [[alternative HTML version deleted]]