search for: seg

Hi All.., I need to do the following repetitive jobs: seg71 <- read.csv("C:/Awork/geneAssociation/removed8samples/neuhausen71/seg.pr3.csv", head=T) seg71$id <-"sn71" seg72 <- read.csv("C:/Awork/geneAssociation/removed8samples/neuhausen72/seg.pr3.csv", head=T) seg72$id <-"sn72" seg73 <- read.csv(&quo...

...39;'[''); id = simple_strtoul(s + 1, &s, 0); - if ( id != (typeof(hpet_sbdf.id))id || *s != '']'' || *++s != ''='' ) + if ( (*s != '']'') || (*++s != ''='') ) return; s = parse_pci(s + 1, &seg, &bus, &dev, &func); if ( !s || *s ) return; + hpet_sbdf.id = id; hpet_sbdf.bdf = PCI_BDF(bus, dev, func); hpet_sbdf.seg = seg; hpet_sbdf.cmdline = 1; } custom_param("ivrs_hpet[", parse_ivrs_hpet); +static bool_t is_ioapic_overidden(u16 se...

...o visualise a time-progressing line (it's supposed to represent spread patterns) using brew package and Google Earth. The idea is to have a function which takes start and end point geographic coordinates, as well as number of intervals to chop the path up, and returns the collection of points segmenting this line. Unfortunately my calculations fail for large distances, as the generated lines are nowhere near being straigth (run the code to see the example). My R code so far: ############ #---LIBS---# ############ library(brew) ############################### #---GREAT CIRCULAR DISTAN...

...255) mydata<- data.frame(Year, Lake1, Lake2, Lake3, Lake4) #Running a for loop that indicates when an error or warning occurs y<- mydata[,2:5] year <- mydata$Year regimeshift <- data.frame() for (i in 1:4){ tryCatch({ y.val <- y[,i] lin.reg <- lm(y.val~year, mydata) seg.reg <- segmented.lm(lin.reg, seg.Z = ~ year, psi = NA, control = seg.control(stop.if.error = FALSE, n.boot = 0, it.max = 20)) RSyear <- summary(seg.reg)$psi [1,2] SlopeRegime1 <- summary(seg.reg)$coefficients[2,1] SlopeDiff <- summary(seg.reg)$coefficients[3,1] new.reg...

...uick response! > > In its current?state?the code?prints three lines that say "warning". What I was expecting is that I would?get?a matrix with 4 columns, 1. column names (from the original data, ex. Lake1) 2. breakpoint year 3. slope 4. slope difference from the first to the?second segment of the segmented regression. Each row in the matrix would be the results of the segmented regression test for each lake in the original data frame, so?Lake1 results would be in row 2 (row 1 would be titles) and so on. If any of?this is confusing please let me know and I will clarify! > >...

Hello, The following might do it. Without data it's untested. wd <- function(i){ paste0("C:/Awork/geneAssociation/removed8samples/neuhausen7", i, "/seg.pr3.csv") } seg <- lapply(1:5, function(i) { DF <-read.csv(wd(i)) DF$id <- paste0("sn7", i) DF }) seg <- do.call(rbind, seg) row.names(seg) <- NULL Hope this helps, Rui Barradas On 4/16/2018 9:54 PM, Ding, Yuan Chun wrote: > Hi All.., > >...

...for the quick response!? In its current?state?the code?prints three lines that say "warning". What I was expecting is that I would?get?a matrix with 4 columns, 1. column names (from the original data, ex. Lake1) 2. breakpoint year 3. slope 4. slope difference from the first to the?second segment of the segmented regression. Each row in the matrix would be the results of the segmented regression test for each lake in the original data frame, so?Lake1 results would be in row 2 (row 1 would be titles) and so on. If any of?this is confusing please let me know and I will clarify! Thanks!...

Hello Ding, try this: seg <- list() for ( d in 71:75) { s <- paste0("seg",d) sn <- paste0("sn",d) Dir<-paste("C:/Awork/geneAssociation/removed8samples/neuhausen", i, sep="") setwd(Dir) seg[[s]] <- read.csv("seg.pr3.csv", head=T) seg[[s]]$id <- s...

...y for obvious mistakes, as I am quite a newby with no Statistics background). My question is going to be what is the gain of logistic regression over odds ratios when none of the input variables is continuous. My experiment: Outcome: ordinal scale, ``quality'' (QUA=1,2,3) Predictors: ``segment'' (SEG) and ``stress'' (STR). SEG is nominal scale with 24 levels, and STR is dychotomous (0,1). Considering the outcome continuous, two-way ANOVA with aov(as.integer(QUA) ~ SEG * STR) doesn't find evidence of interaction between SEG and STR, and they are s...

...ake3, Lake4) > > #Running a for loop that indicates when an error or warning occurs > y<- mydata[,2:5] > year <- mydata$Year > regimeshift <- data.frame() > for (i in 1:4){ > tryCatch({ > y.val <- y[,i] > lin.reg <- lm(y.val~year, mydata) > seg.reg <- segmented.lm(lin.reg, seg.Z = ~ year, psi = NA, control = > seg.control(stop.if.error = FALSE, n.boot = 0, it.max = 20)) > RSyear <- summary(seg.reg)$psi [1,2] > SlopeRegime1 <- summary(seg.reg)$coefficients[2,1] > SlopeDiff <- summary(seg.reg)$coefficient...

IA-32 linear address translation is loads of fun. While cleaning up the LDT code, I noticed that kprobes code was very bogus with respect to segment handling. Many, many bugs are fixed here. I chose to combine the three separate functions that try to do linear address conversion into one, nice and working functions. All of the versions had bugs. 1) Taking an int3 from v8086 mode could cause the kprobes code to read a non-existent LDT...

IA-32 linear address translation is loads of fun. While cleaning up the LDT code, I noticed that kprobes code was very bogus with respect to segment handling. Many, many bugs are fixed here. I chose to combine the three separate functions that try to do linear address conversion into one, nice and working functions. All of the versions had bugs. 1) Taking an int3 from v8086 mode could cause the kprobes code to read a non-existent LDT...

Am I right in saying that first_sect & last_sect in blkif_request_segment are the relative sector numbers in the transfer? So if I wanted to transfer 9 sectors starting at 100, the resultant contents of the request would look like: req->sector_number = 100 req->seg[0].first_sect = 0 req->seg[0].last_sect = 3 req->seg[1].first_sect = 4 req->seg[1].las...

Hey, Ferret is repeatedly seg-faulting my mongrel servers on the same line: /usr/local/lib/ruby/gems/1.8/gems/ferret-0.10.11/lib/ferret/index.rb:718: [BUG] Segmentation fault ruby 1.8.5 (2006-08-25) [i686-linux] I''m using ferret 0.10.11. I haven''t had the time to dig into yet, it''s on the backburn...

...", + regs->errcode, regs->trapnum); + + lguest_dump_trace(vcpu, regs); +} + +struct guest_ksym_stuff { + unsigned long *addresses; + unsigned long num_syms; + u8 *names; + u8 *token_table; + u16 *token_index; + unsigned long *markers; +}; + +static struct lguest_text_ptr *get_text_segs(struct lguest_vcpu *vcpu) +{ + struct lguest_guest_info *linfo = vcpu->guest; + struct lguest_text_ptr *segs, **p; + struct lguest_text_ptr *g; + unsigned long addr; + int i; + + if (!linfo->lguest_data) + return NULL; + + addr = lhread_u64(vcpu, (u64)&linfo->lguest_data->text); +...

...", + regs->errcode, regs->trapnum); + + lguest_dump_trace(vcpu, regs); +} + +struct guest_ksym_stuff { + unsigned long *addresses; + unsigned long num_syms; + u8 *names; + u8 *token_table; + u16 *token_index; + unsigned long *markers; +}; + +static struct lguest_text_ptr *get_text_segs(struct lguest_vcpu *vcpu) +{ + struct lguest_guest_info *linfo = vcpu->guest; + struct lguest_text_ptr *segs, **p; + struct lguest_text_ptr *g; + unsigned long addr; + int i; + + if (!linfo->lguest_data) + return NULL; + + addr = lhread_u64(vcpu, (u64)&linfo->lguest_data->text); +...

Add some convenient segment macros to the kernel. This makes the rather obfuscated 'seg & 4' go away. Patch-keys: i386 segment cleanup Patch-base: 2.6.13-rc5-mm1 Signed-off-by: Zachary Amsden <zach@vmware.com> Index: linux-2.6.13/include/asm-i386/segment.h ==============================================...

Add some convenient segment macros to the kernel. This makes the rather obfuscated 'seg & 4' go away. Patch-keys: i386 segment cleanup Patch-base: 2.6.13-rc5-mm1 Signed-off-by: Zachary Amsden <zach@vmware.com> Index: linux-2.6.13/include/asm-i386/segment.h ==============================================...

...             ID Mem(MiB) VCPUs State   Time(s) Domain-0                                   0     3202     8 r-----   5220.1 vm1                                  3     4095     2 -b----   3529.2 vm2                                  5     8191     4 -b----    399.0 [root@serverxen ~]# xm console 3 4gb seg fixup, process prelink (pid 10142), cs:ip 73:08083da1 4gb seg fixup, process prelink (pid 10142), cs:ip 73:08083da1 4gb seg fixup, process prelink (pid 10142), cs:ip 73:08083da1 4gb seg fixup, process prelink (pid 10142), cs:ip 73:08083da1 4gb seg fixup, process prelink (pid 10142), cs:ip 73:08083d...

...un with your patch. > > I am using libvirt (virt-manager) to configure and run the virtual > machine, but looking at the xml, I do not think it's passing > 'scsi=off' at all. > > Btw, that xfs file system is a root file system. > > > [ 3.667553] blk_recount_segments: 1-0-1 vcnt-0 segs-128 > [ 3.668692] blk_recount_segments: 1-0-1 vcnt-0 segs-128 > [ 3.669897] blk_recount_segments: 1-0-1 vcnt-0 segs-128 > [ 3.671083] blk_recount_segments: 1-0-1 vcnt-0 segs-128 Hamm, I should have used bi_phys_segments to decide if merge is needed, and at...