similar to: Data extraction problem after importation using RODBC

Hi,   A question on something which normally should be easy !   I perform a linear regression using lm function:   > reg1 <- lm (a b+c+d, data = database1)   Then I try to perform the Chow (1960) test (structural change test) on my regression. I know the breakpoint date. I try the following code like it is described in the “Examples” section of the “strucchange” package :   > sctest(reg1,

  Dear Arne Henningsen,   I send you this message because I have question with regard to systemfit package. I hope you answer to my request.   I estimated a system of equation bu using SUR method. The function summary(xx) gives me summary of estimated equation system. However, this function does not give my the value of the durbin watson statistic  for each one of my equations (to chek for serial

  Hi, This is a newbie question. I would to be able to convert annual time series of flow data into quarterly data. I wonder if there is any existing R-function which permits to do it? In what package ?   I the archive, i found that some poeple speak about "tempDis" package for performing time series temporal disaggregation, but when I try to download it I can not found it in the list

Hello !   I’m trying to estimate a system of equation (demand and supply) using the systemfit package.  My program is:   library(systemfit) demand <- tsyud ~ tsyud1 + tsucp + tspo + tssn supply <- tscn ~ tsyn + tsqn + tsksn + tsucp system <- list(demand=eqdemand, learning = eqsupply) labels <- list(demand="eqdemand", learning="eqsupply") inst <- ~ tsupp1 + tsupp2

I''ve just dabbled the tiniest bit in AJAX, but I have an app with a grid of text_fields (each row of text_fields being a row from the database, and I would like the user to be able to navigate between fields with the arrow keys in a spreasheet-like fashion. Is this reasonably doable? -- Posted via http://www.ruby-forum.com/.

Hi, See below I reply your message for <https://stat.ethz.ch/pipermail/r-help/2008-April/160966.html>[R] predict.glm & newdata posted on Fri Apr 4 21:02:24 CEST 2008 You say it ##works fine but it does not: if you look at the length of yhat2, you will find 100 and not 200 as expected. In fact predict(reg1, data=x2) gives the same results as predict(reg1). So I am still looking for

Hi all, In several of our tests, I have noticed that the register allocator allocates to virtual registers in a different order when compiling with the clang option -g. Before entering the register allocator, the code is identical when compiling with and without -g (with the exception of " DBG_VALUE" instructions). The only difference I can see is the value assigned to the slot index

Hi list, in our LLVM-based-project we are writing a backend for our processor. The architecture is a quite straight-forward RISC, but it does not have hardware interlocks, i.e. data hazards involving memory access must be resolved by the compiler, either by scheduling unrelated instructions or by inserting NOOPs into the load delay slots: ---- For example, code which looks like that: load

We have a test that looks like this… define void @array16_store() { ; CHECK-LABEL: array16_store: ; CHECK: ldi [[REG1:r[0-9]+]], 204 ; CHECK: ldi [[REG2:r[0-9]+]], 170 ; CHECK: sts int.array+3, [[REG2]] ; CHECK: sts int.array+2, [[REG1]] ; CHECK: ldi [[REG1:r[0-9]+]], 187 ; CHECK: ldi [[REG2:r[0-9]+]], 170 ; CHECK: sts int.array+1, [[REG2]] ; CHECK: sts int.array, [[REG1]] ; CHECK: ldi

On Jan 19, 2009, at 9:17 AM, Patrick Boettcher wrote: > Hi list, > > in our LLVM-based-project we are writing a backend for our > processor. The > architecture is a quite straight-forward RISC, but it does not have > hardware interlocks, i.e. data hazards involving memory access must be > resolved by the compiler, either by scheduling unrelated > instructions or >

> On Feb 2, 2017, at 8:20 AM, David Blaikie <dblaikie at gmail.com> wrote: > > The goal/intent is that debug info does not affect code generation. There are (many?) bugs. I think Apple folks (cc'd Adrian) may be looking at this a bit recently, not sure. > > The fixes aren't usually too invasive (usually involve something counting instructions where it needs to skip

> On Feb 2, 2017, at 8:20 AM, David Blaikie via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > The goal/intent is that debug info does not affect code generation. There are (many?) bugs. I think Apple folks (cc'd Adrian) may be looking at this a bit recently, not sure. > > The fixes aren't usually too invasive (usually involve something counting instructions where

Hi folks, I'm running into this weird issue where the register spills appear to be missing for an "if" block for some reason. For example, the original if/else blocks: --- if reg0 // storeRegToStackSlot for reg1 // do something - missing a load for reg1? else // storeRegToStackSlot for reg1 // do something // loadRegFromStackSlot for reg1 end ---- I tried looking in the LLVM

Hello, I'm writing a backend for an architecture that only has LOAD Instructions that first copy the old value of the target register in another register and after that load the provided value into the register. Example of an addition: load a, reg1; // -> copies old value of reg1 in reg2 and loads value from a into reg1 load b, reg1; // -> copies old value of reg1 in reg2 and loads

> Of course, and the point is that, for example, on x86_64, the zext here is free. I'm still trying to understand the problem... > > In the example you provided in your previous e-mail, we choose the solution: > > `GEP @Global, zext(V)` -> `GEP (@Global + zext VStart), {i64 0,+,1}` > `V` -> `trunc({i64 0,+,1}) + VStart` > > instead of the actually-better

Hello, I have the fellowing problem and I am thankful for any advice! Regards, Samuel ################################################################ >   source("http://bioconductor.org/biocLite.R") BioC_mirror = http://www.bioconductor.org Change using chooseBioCmirror(). >     biocLite("SSPA") Using R version 2.11.0, biocinstall version 2.6.7. Installing

Each of the data sets contains monthly observations on price indices for 7 countries. I use the fitted values from reg1 in the reg2 model. The interior loop executes without error as long as I explicitly specify the data set, i.e. data=dat70. However the code fails to execute if I specify the model in the form of the commented line, i. e reg1 <-dynlm(form1,data=Dnames[j]) I get the following

Hi all - I'm stumped by the following mdl <- glm(resp ~ . , data = df, family=binomial, offset = ofst) WORKS yhat <- predict(mdl) WORKS yhat <- predict(mdl,newdata = df) FAILS Error in drop(X[, piv, drop = FALSE] %*% beta[piv]) : subscript out of bounds I've tried without offset, quoting binomial. The offset variable ofst IS in df. Previous postings indicate possible

Hi All, I am interested in creating a function that will take x number of lm objects and automate the comparison of each model (using anova). Here is a simple example (the actual function will involve more than what Im presenting but is irrelevant for the example): # sample data: id<-rep(1:20) n<-c(10,20,13,22,28,12,12,36,19,12,36,75,33,121,37,14,40,16,14,20)

I’m not sure if it’s truly deterministic. It always gives the same results (so far) on my machine but I’m not sure that’s enough. My guess is it’s probably going to be deterministic on one machine but might well not be deterministic across environments. Like it might give varying results if cross compiled on different hosts, macOS vs intel Linux vs arm vs s390. (Obviously AVR is always a cross