similar to: Subset using partial values

Hi, I have two dataframes that have some common columns. I would like to join them by the common columns prochi and prescribed_date as there are duplicate prochis but they will be made unique by date. I tried doing an inner join but that just duplicated the columns whereas I would like the information from the test_sql_tsf to fill the NAs in the test_sql_psd common columns. require(sqldf)

Dear R help, I have the following data frame: structure(list(prochi = c("ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1"), date_1st_event = structure(c(14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784 ), class = "Date"),

Hi Everyone, I have the following problem: data <- structure(list(prochi = c("IND1", "IND1", "IND1", "IND2", "IND2", "IND2", "IND2", "IND3", "IND4", "IND5"), date_admission = structure(c(6468, 6470, 7063, 9981, 9983, 14186, 14372, 5129, 9767, 11168), class = "Date")), .Names =

Dear R users, I have two data frames that were read from text files as follows: x_data <- read.table("x.txt", header = TRUE, sep = "|", quote = "\"'", dec = ".",as.is = TRUE,na.strings = "NA",colClasses = NA, nrows = 3864284, skip = 0, check.names = TRUE,fill=TRUE, strip.white = TRUE,

Hi All, I have a character data.frame that contains character columns and date columns. I've manage to convert some of my character columns to a date format using as.Date(x, format="%m/%d/%y"). An example of one of my dates is PROCHI DtDeath icdcucd date_admission1 date_admission_2 CAO0004563 <NA> <NA> 2005-09-01 <NA> CAO0073505

On Sep 29, 2010, at 8:35 AMPDT, Ralf Karrenberg wrote: > Hello everybody, > > I have stumbled upon a test case (the attached module is a slightly > reduced version) that shows extremely reduced performance on linux > compared to windows when executed using LLVM's JIT. > > We narrowed the problem down to the actual code being generated, the > source IR on both systems

Hello everybody, I have stumbled upon a test case (the attached module is a slightly reduced version) that shows extremely reduced performance on linux compared to windows when executed using LLVM's JIT. We narrowed the problem down to the actual code being generated, the source IR on both systems is the same. Try compiling the attached module: llc -O3 -filetype=asm -o BAD.s BAD.ll Under

Dear R users, I have the following data frame: PROCHI date_admission 2 CAO0000713 1999-12-11 4 CAO0000713 1999-10-25 21 CAO0001743 1989-05-04 25 CAO0001743 1996-09-12 26 CAO0001743 1989-05-17 27 CAO0001743 1987-09-17 28 CAO0001743 1987-09-19 29 CAO0001743 1988-01-27 36 CAO0001747 2004-03-21 38 CAO0001747 2004-03-22 39

Hi, I have a problem with function match. I might not be using it properly? I have two character vectors that contain a unique identifier: gtype_prochi <- ("CAO1524452" "CAO0966182" "CAO9209719" "CAO4436178" "CAO3761898" "CAO3529266" "CAO2427148" "CAO8829776" "CAO2517174" "CAO5371418"

Hello everyone, please I need your help. To reproduce my problem I created simple pass for backends (TestPass.cpp in attached files). That pass I call from Mips backend in this way (MipsTargetMachine.cpp): bool MipsPassConfig::addPreRegAlloc() { addPass(createTestPass()); return false; } The problem becomes, when I am trying compile file ldtoa.ll (in attached files). Compiling

Hi, following system: Dell PE2650, 2 2.4ghz Xeon, 1gb ram, Dell Perc4DC Controller It has EL5 installed, but I wanted to change to Centos because of the missing workstation packages in the entry server repository. The system was redhat up2date until yesterday, so the latest kernel was missing. I changed redhat-release to centos-release packages and the new centos kernel was installed the via

Note: I don't know if this is a problem withe I20 drivers or Rsync so I'm submitting to both the Kernel Bugzilla and the Rsync mailing list. I couldn't find a bugzilla for Rsync. I hope this was the correct way to submit this issue. Distribution: Debian Hardware Environment: Intel 850MV Mother board, Pentium 4 processor, 1Gig of RAM, Adaptec 2400A RAID Controler. Both the

I'm trying to install either 32-bit or 64 bit centos 4.3 and I keep getting an error: "No valid devices were found on which to install filesystems". In checking BIOS and RAID, everything seems fine, but I just found some research about I20. An alternative would be the i2o_blocks module. How can I install CentOS 4.3 x86_64 using i2o_blocks? How do I instruct the boot prompt to

Hi Jianzhou, > The other question is about 'when loading a value of a type like i20 > with a size that is not an integral number of bytes, the result is > undefined if the value was not originally written using a store of the > same type'. At this case, can we make an assumption that typically we > only load the 20 bits, but ignore extra bits, like what store does at >

Hi all, I recently created a version of llvm/clang for an architecture with some odd properties: - front end side: -- char,short,int : 20 bits -- long, long long: 40 bits -- pointer: 20 bits On the backend side, I have hardware support for 20-bit registers (and load/stores). (So, I have support for 'i20' and 'i40', but 'i40' is lowered into operations on 'i20')

Hi, I have a confusion about types used in load/store, (http://llvm.org/docs/GetElementPtr.html#types) says that [...] Furthermore, loads and stores don't have to use the same types as the type of the underlying object. Types in this context serve only to specify memory size and alignment. Beyond that there are merely a hint to the optimizer indicating how the value will likely be used. [...]

hi guys: recently I want to buinding a meeting confence on asterisk and use the meetme application. I have a ztdummy kernel afteri the lsmod commond: ztdummy 5768 0 zaptel 182660 28 zttranscode,ztdummy crc_ccitt 3008 1 zaptel I also configure the meetme.conf conf => 1000; my extensions.conf [default] exten =>

Hi, I am doing a hierarchical CFA using the sem package. I have 20 items, and I have 2 factors (F3 and F4), and also F1 and F2 are nested within F3. Here is the code that I have, but it is giving me an error message "Warning message: In eval(expr, envir, enclos) : Negative parameter variances. Model may be underidentified." and a further error "Error in summary.objectiveML(cfa,

Just wanted to alert everyone regarding a problem that I only experience with R2.9.0 and not with R2.8.1 when I run both using exactly the same script and the same data. Here is what I do with my data "MyData", 2 predictors (V1 and V2) and my survival DV "Depvar": library(survival)

R users, I have df like this a <- data.frame( indx = 1:20, var1 = rep(c("I20", "I40", "A50", "B60"), each=5), var1_lab= rep(c("cat", "dog", "mouse", "horse"), each=5), var2 = rep(c("B20", "X40", "D50",