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...p'. I´m using as the initial values of the parameters those obtained from the nls fit. Is a problem of the initial estimates of the parameters that I get the error or could be something else? The code for the nls fit was: options(contrasts=c("contr.helmert","contr.poly")) VA1.lis<-nlsList(DRAM~SSlogis(MED,phi1,phi2,phi3)|TRAT, data=VA1,na.action=na.omit) The code for the gnls fit was (using a 'difference parameterization' like SAS): options(contrasts=c("contr.SAS","contr.poly")) VA1.gnls<-gnls(DRAM~SSlogis(MED,phi1,phi2,phi3), data=V...

Dear All! If I pass an object to an assignment function I cannot get it's name by deparse(substitute(argument)), but I get *tmp* and I found no way to get the original name, in the example below it should be "va1". Is there a way? Thanks, Heinz ## example 'fu1<-' <- function(var, value) { print(c(name.of.var=deparse(substitute(var))))} fu1(va1) <- 3 name.of.var "*tmp*" ## desired result: ## name.of.var ## "va1" version _...

...rrowed it down to lld/Writer.cpp:getFileAlignment (). (Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… Should this be abs(VA2 – VA1) ? Or Should it be cast to a signed integer so we subtract the difference rather than adding the large value? Thanks A. -------------- next part -------------- An HTML attachment was scrubb...

On Mon, 11 Sep 2006, [UTF-8] Rafael Esp?ndola wrote: > I am trying to build llvm-gcc4 on a amd64. I had to add the attached > patch to get the build system to select the correct library. Now the Applied. > build fails while compiling a code that has __builtin_va_copy. The > attached test.i fails with: > > cc1: ../../trunk/gcc/llvm-convert.cpp:443: llvm::Value* >

I am trying to build llvm-gcc4 on a amd64. I had to add the attached patch to get the build system to select the correct library. Now the build fails while compiling a code that has __builtin_va_copy. The attached test.i fails with: cc1: ../../trunk/gcc/llvm-convert.cpp:443: llvm::Value* TreeToLLVM::Emit(tree_node*, llvm::Value*): Assertion `(isAggregateType(((exp)->common.type)) == (DestLoc

...FileAlignment (). > > (Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) > > Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… > > > > Should this be abs(VA2 – VA1) ? > > Or > > Should it be cast to a signed integer so we subtract the difference rather than adding the large value? >...

...> > (Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) > > > > Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… > > > > > > > > Should this be abs(VA2 – VA1) ? > > > > Or > > > > Should it be cast to a signed integer so...

...[i]]=n11[[i]]/n P12[[i]]=n/n11[[i]] } # cr?ation d'une liste contenant les matrices W W=list() for (i in 1:q){ w=matrix(0,n,R[i]) w[1:n11[[i]][1],1]=1 for (j in 2:R[i]){ s1=sum(n11[[i]][1:(j-1)]) w[(1+s1):(s1+n11[[i]][j]),j]=1 } W[[i]]=w } for (i1 in 1:nbrefoissim){ # g?neration des donn?es VA1=mvrnorm(n,rep(0,(p+q)),diag((p+q))) X=VA1[,1:p] Y=VA1[,(p+1):(p+q)] # Calcul de Xbar Xbar=colMeans(X) # Calcul des Xjh bar Xjhbar=list() for (i in 1:q){ w=matrix(0,R[i],p) for (j in 1:R[i]){ w[j,]=colSums(W[[i]][,j]*X)/n11[[i]][j] } Xjhbar[[i]]=w } #calcul des TO jh TO.jh=list() fo...

Hi... I have one 2 data set with 3 variables and 4 observations. I want to combine the two data sets. I tried with merge but it gives only the common values. I need common values and and remaining values also. Please help me? this is my data set dataset:1 name va1 va2 AA 10 100 BB 20 200 CC 30 300 DD 40 400 dataset:2 name va1 va2 AA 36 444 BB 10 111 CC 20 222 DD NA 333 Please reply me..................................... -- View this message in context: http://r.789695.n4.nabble.com/How-to-add-a-new-row-in-to-an-existing-data-set-in-R-Language-tp4644855....

...(Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) > > > > > > Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… > > > > > > > > > > > > Should this be abs(VA2 – VA1) ? > > > > > > Or > > &...

...ion of a list containing the W matrices 59 W=list() 60 for (i in 1:q){ 61 w=matrix(0,n,R[i]) 62 w[1:n11[[i]][1],1]=1 63 if (R[i]>1){ 64 for (j in 2:R[i]){ 65 s1=sum(n11[[i]][1:(j-1)]) 66 w[(1+s1):(s1+n11[[i]][j]),j]=1 67 }} 68 W[[i]]=w 69 } 70 for (i1 in 1:nbrefoissim){ 71 # data generation 72 VA1=mvrnorm(n,rep(0,(p+q)),diag((p+q))) 73 X=VA1[,1:p] 74 Y=VA1[,(p+1):(p+q)] 75 # Xbar calculation 76 Xbar=colMeans(X) 77 # Calculation of Xjh bar 78 Xjhbar=list() 79 for (i in 1:q){ 80 w=matrix(0,R[i],p) 81 for (j in 1:R[i]){ 82 w[j,]=colSums(W[[i]][,j]*X)/n11[[i]][j] 83 } 84 Xjhbar[[i]]=w 85 } 86...

...> 61 w=matrix(0,n,R[i]) > 62 w[1:n11[[i]][1],1]=1 > 63 if (R[i]>1){ > 64 for (j in 2:R[i]){ > 65 s1=sum(n11[[i]][1:(j-1)]) > 66 w[(1+s1):(s1+n11[[i]][j]),j]=1 > 67 }} > 68 W[[i]]=w > 69 } > > 70 for (i1 in 1:nbrefoissim){ > > 71 # data generation > 72 VA1=mvrnorm(n,rep(0,(p+q)),diag((p+q))) > 73 X=VA1[,1:p] > 74 Y=VA1[,(p+1):(p+q)] > > 75 # Xbar calculation > 76 Xbar=colMeans(X) > > 77 # Calculation of Xjh bar > 78 Xjhbar=list() > 79 for (i in 1:q){ > 80 w=matrix(0,R[i],p) > 81 for (j in 1:R[i]){ > 82 w[j,]=colS...

...d/Writer.cpp:getFileAlignment (). > > (Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) > > Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… > > > > Should this be abs(VA2 – VA1) ? > > Or > > Should it be cast to a signed integer so we subtract the difference rather than adding the large value? > > > > Thanks > > A. &...

...t; > > > (Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) > > > > Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… > > > > > > > > Should this be abs(VA2 – VA1) ? > > > > Or > > > > Should it be cast to a signed integer so we subtract the difference rathe...

hi there, I have a dataframe in the shape vA1, vA2,..., vA11, vB1, vB2,..., VB11,......., VP1, VP2,...., VP11 (so 16 times a sequence of 11 variables) I am trying to build a double loop so that i can apply the function (i-1)*v(i) to the first 10 variables, then the same for the next 10 variables, etc... 16 times. I have tried the following wi...

...gt; > 63 if (R[i]>1){ > > 64 for (j in 2:R[i]){ > > 65 s1=sum(n11[[i]][1:(j-1)]) > > 66 w[(1+s1):(s1+n11[[i]][j]),j]=1 > > 67 }} > > 68 W[[i]]=w > > 69 } > > > > 70 for (i1 in 1:nbrefoissim){ > > > > 71 # data generation > > 72 VA1=mvrnorm(n,rep(0,(p+q)),diag((p+q))) > > 73 X=VA1[,1:p] > > 74 Y=VA1[,(p+1):(p+q)] > > > > 75 # Xbar calculation > > 76 Xbar=colMeans(X) > > > > 77 # Calculation of Xjh bar > > 78 Xjhbar=list() > > 79 for (i in 1:q){ > > 80 w=matrix(0,R[i],...

...> (Well, my local repository is from a while back (version 10) and for me it is lld/Writer.cpp:computeFileOffset ()) > > > > Either way, where it is calculating the file offset when two sections share same PT_LOAD, the formula used is off2 = off1 + (VA2 – VA1) but the subtraction is causing a negative number, causing out of bound value… > > > > > > > > Should this be abs(VA2 – VA1) ? > > > > Or > > > > Should it...

...) - return -1; - return 1; + const uint64_t *p1 = __map_domain_page(pfp1); + const uint64_t *p2 = __map_domain_page(pfp2); + int rc = memcmp(p1, p2, PAGE_SIZE); + + unmap_domain_page(p2); + unmap_domain_page(p1); + + return rc; } static inline int tmem_pcd_cmp(void *va1, pagesize_t len1, void *va2, pagesize_t len2) @@ -271,54 +269,58 @@ static inline int tmem_pcd_cmp(void *va1, pagesize_t len1, void *va2, pagesize_t return 1; } -static inline int tmem_tze_pfp_cmp(struct page_info *pfp1, pagesize_t pfp_len, void *tva, pagesize_t tze_len) +static inline int...

Hi Ian/Stefano, So, I''m back to using pfn space from maxphysaddr below. Stefano, you suggested ballooning, but that would be just too slow. There are lot of pages to be mapped, 4k at a time during guest creation, and I am afraid ballooning and hypercalls to populate EPT will be pretty slow. OTOH, there is tons of address space available between max-physaddr and max pfn in dom0. Stefano,

...0/boost/mpl/assert.hpp:56:58: note: expanded from macro 'BOOST_MPL_AUX_ASSERT_CONSTANT' # define BOOST_MPL_AUX_ASSERT_CONSTANT(T, expr) enum { expr } ^ cliques.cpp:53:19: error: expression is not assignable p = edge(*va1, *va2, g); ~ ^ cliques.cpp:54:25: error: member reference base type 'mpl_::assert_arg_pred_not<boost::detail::is_iterator_traversal<boost::random_access_traversal_tag>>::<anonymous enum at rbgl_trimmed_boost_1_49_0/boost/mpl/assert.hpp:149:5>' is not...