search for: elelments

I have an AST, and I walk it to generate llvm-IR. For function definitions, I need to be able to generate functions : vector<datatypes> foo (param_list) i.e. my return value is a vector of different datatype.s, similar to the param list. My question is, what do i put my elelment type in the vector? It can be a vector of any of the element types.. i.e. the first value can be a float, the

Hi, We have Ubuntu 14.04.3 server and Samba 4.1.6-Ubuntu. Windows and Mac Os X clients connect this server. Some Os X users sometimes report "error code -43" when file copying to server. What can cause the problem? this is my smb.conf [global] workgroup = hurguc realm = HURGUC.LOCAL preferred master = No security = ads password server = dbdns2.hurguc.local encrypt passwords =

...p #i=1 to 140 if (LCfirst1 = 0). * SET UP A CONDITIONAL TRANSFORMATION THAT IS EVALUATED FOR EACH ELEMENT OF THE VECTOR. THUS, WHEN #i = 1, THE EXPRESSION EVALUATES THE FIRST ELEMENT OF THE VECTOR (THAT IS, THE FIRST OF THE 140 ITEM RESPONSES). AS THE LOOP RUNS AND #i INCREASES, SUBSEQUENT VECTOR ELELMENTS ARE EVALUATED. THE do if STATEMENT RETAINS CONTROL AND KEEPS LOOPING THROUGH THE VECTOR UNTIL A '1' IS ENCOUNTERED. + do if x(#i) = 1. * WHEN A '1' IS ENCOUNTERED, CONTROL PASSES TO THE NEXT STATEMENT, WHICH RECODES THE VALUE OF THAT VECTOR ELEMENT TO '99'. + comp x(#i) = 9...

Hi, Im using geoR and I'm trying to do some predictions, based on an external trend. I'm having some problems specifying my model.control, specifically how do I define my model, and also the source of the covariate data at the prediction locations? I am assuming that the covariate data at the prediction locations should be imported to a geodata object along with the prediction location

> On Oct 15, 2017, at 3:35 PM, Miluji Sb <milujisb at gmail.com> wrote: > > Dear David, > > This is amazing, thank you so much. If I may ask another question: > > The output looks like the following: > > ### > dput(head(x,15)) > c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", >

I have done the following using readLines directory <- "~/" files <- list.files(directory) data_frames <- vector("list", length(files)) for (i in seq_along(files)) { df <- readLines(file.path(directory, files[i])) df <- df[-(1:13)] df <- data.frame(year = substr(df,1,4), month = substr(df, 6,7), day =

Dear David, This is amazing, thank you so much. If I may ask another question: The output looks like the following: ### dput(head(x,15)) c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", "param_short_name=Tair_f_inst", "param_name=Near surface air temperature", "unit=K",