similar to: Matrix logical operator

Hello, I tried intalling mice package and got the following error: * installing *source* package ?mice? ... ** package ?mice? successfully unpacked and MD5 sums checked ** libs g++ -I/usr/local/lib/R/include -DNDEBUG -I"/home/djj/R/x86_64-pc-linux-gnu-library/3.4/Rcpp/include" -I/usr/local/include -fpic -g -O2 -c RcppExports.cpp -o RcppExports.o g++ -I/usr/local/lib/R/include

> On Nov 15, 2017, at 1:08 AM, Jeremie Juste <jeremiejuste at gmail.com> wrote: > > > > Hello, > > I tried intalling mice package and got the following error: > > * installing *source* package ?mice? ... > ** package ?mice? successfully unpacked and MD5 sums checked > ** libs > g++ -I/usr/local/lib/R/include -DNDEBUG

Hello, Have a look at the plm package https://cran.r-project.org/web/packages/plm/index.html It has a convenient way to structure your data into panel according to some id. Best regards, Jeremie On Wed, Jan 10, 2018 at 5:41 PM, deva d <devazresearch at gmail.com> wrote: > dear all, > > i need some help in structuring my data file for a hierarchical time series > analysis.

Hello, It's difficult to help without a sample of the format. Can you provide a short sample like 10 lines and a few columns.? Best regards, Jeremie On Wed, Jan 10, 2018 at 6:12 PM, John Kane via R-help <r-help at r-project.org> wrote: > Have a look at http://stackoverflow.com/questions/5963269/how-to-make- > a-great-r-reproducible-example > and >

You are the one with data. Supply what you have (or a simulated version of same, hence the reading recommendation) using dput, and someone may suggest how to transform it. In most cases a simple tabular format (data frame) is sufficient. -- Sent from my phone. Please excuse my brevity. On January 10, 2018 12:20:47 PM PST, "J?r?mie Juste" <jeremiejuste at gmail.com> wrote:

Hello, Where is the problem in this programming. I want two way matrix, but it gives problem. The program is given below: Thanks in advance. Regards Fazli Raziq rep = 2 genes = 5 pred = c() iter   = array (dim = c(rep, pred)) pred = array(dim = c(1, genes)) m = c() l = 1 w = 1 for(m in 1:rep) { t = time c = cens tab = cbind(t, c) # Resampling Time and Censoring cc = sample(c, replace = TRUE)

dear all, i need some help in structuring my data file for a hierarchical time series analysis. can someone help please ? i have a 600 row database in the nature of a panel data, with 3 time series values of interest. the data also has 4 classificatory variables comprising a code for each entity in the panel, a value for time (year), and classification of type of entity and a further sub-group

Followup: I have checked my package nleqslv which uses dgemv only from Fortran, on Kubuntu 18.04 with the development version of R. No errors or problems. Berend > On 12 Sep 2019, at 08:57, Berend Hasselman <bhh at xs4all.nl> wrote: > > > I have tried what I proposed in a virtual Kubuntu 18.04 which uses gfortran 7.4. > I used the latest development version of R. >

Berend, I do not think this works with gfortran 7+. I am calling the BLAS subroutine dgemv from Fortran code in my package eha, and the check (with R-devel) gives: gmlfun.f:223:1: warning: type of ?dgemv? does not match original declaration [-Wlto-type-mismatch] & score, ione) ^ /home/gobr0002/R/src/R-devel/include/R_ext/BLAS.h:107:1: note: type mismatch in parameter 12

I have a vaiable named NAM having value : 1,2,3,4,5,6,7,8,9. I want to make an indicator variable that will take value 1 if NAM=7 or NAM=8 or NAM=9. How can I do that? I usually do: Var001<- ifelse(NAM==7,1,0) for the simplest case. [[alternative HTML version deleted]]

I have an ordered "set" of numbers, represented by a vector, say > X <- c(10:13, 17,18) > X [1] 10 11 12 13 17 18 then I have a "sub-set" of X, say > Y <- c(11,12,17,18) Is there a simple way in R to have a logical vector (parallel to X) indicating what elements of X are in Y, i.e., > Inclusion [1] FALSE TRUE TRUE FALSE TRUE TRUE I'm

Dear R users,I'm a new user of R. I'm trying to do a LM test an there is this type of error: Error in t(mX) %*% mX : requires numeric/complex matrix/vector arguments. To be clear I write down the code in which mY ( 126,1 ) mX (126,1) mZ(126,1) are matrix. LMTEST <- function(mY, mX, mZ)#mY, mX, mZ must be matrices!#returns the LM test statistic and the degree of freedom{iT =

Sorry for cross-posting, but I realized my question might be more appropriate for r-devel... Thank you, Giovanni ________________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Giovanni Petris <gpetris at uark.edu> Sent: Tuesday, September 10, 2019 16:44 To: r-help at r-project.org Subject: [R] Calling a LAPACK subroutine from R Hello R-helpers!

In this email to the R-help list: https://stat.ethz.ch/pipermail/r-help/2017-June/447474.html and in this question on Stackoverflow: https://stackoverflow.com/questions/44486643/nleqslv-memory-use-in-r Andrew Leach has raised a question about the memory usage of my package nleqslv. In a model with a loop within a function he has experienced continuously increasing memory usage by package nleqslv

hello to all. I am working on macroeconomic data series of India, which in a yearly basis. I am unable to convert my data frame into time series. kindly help me. also using zoo and xts packages. but they take only monthly observations. 'data.frame': 30 obs. of 4 variables: $ year: int 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 ... $ cnsm: num 174 175 175 172 173 ... $ incm:

You can just use the same code that I provided before but now use your dataset. Like this df <- read.csv(file="data2.csv",header=TRUE) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <- xts(df,order.by=dates) head(myXts) #The last command "head(myXts)" shows you the first few rows of the xts object year cnsm incm wlth

Thanks for your email. I try to change the name in lowercase but it conflicts with a C implementation also named halton. So I rename the C function halton2() and sobol2() while the Fortran function are HALTON() and SOBOL() (I also try lower case in the Fortran code). Unfortunately, it does not help since I get init.c:97:25: error: use of undeclared identifier 'halton_'; did you mean

Sorry for messed up text. Here it goes again: I am learning to use the gsDesign package. I have a question about Pocock and OBF boundary. As far as I can understand, these 2 boundaries require equal spacing between interim analyses (maybe this is not correct?). But looks like I can still use gsDesign to run an analysis based on unequal spacing:? >

Dear all, Please suggest me how can I do it. I have a matrix which look like following: x1 x2 x3 t1 .01 0.3 0 t2 0 0.1 0.01 t3 0 .01 .01 t4 0 0 t5 5 0 0 t6 0 0 0 t7 0 0 0 t8 0 0 0 t9 0.6 0 0 t10 0 0 0.66 t11 0 0.6 0.11 t12 0 0.4 0 I want to sort decreasing order in each column based on rows. and then to display only those rows which has a value. The expected out put matrix will

> On 6 Feb 2019, at 10:58, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > ..... > --------------------------------------------------------------------------- > > I summarize what has been reported till: > > Failure in these cases > ======== > 1. Kasper K ("Scientific Linux", self compiled R, using Intel's MKL > for BLAS/LAPACK)