search for: s12

Hi, ABCRegister.td : def SGPR32 : RegisterClass<"ABC", [i32], 16, (add S0, S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11, S12, S13, S14, S15 )>; def SFGPR32 : RegisterClass<"ABC", [f32], 16, (add S0, S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11, S12, S13, S14, S15 )>; ===== Instruction selection ends: ... t8: i32 = ADDrr t37, t32 ... Instruction Selection correct : i32 = ADDrr...

...has length > 1 and only the first element will be used 2: In if (!freq) "Density" else "Frequency" : the condition has length > 1 and only the first element will be used ----------------------------------------------------------------------------------- library(mvtnorm); s12<-c(1:1000); var21<-lapply(s12,function(x){ rs<-rmvt(10, sigma=diag(8), df=1); my<-mean(rs); sy<-sqrt(var(rs)) return(cbind(my,sy)) }); data1<-do.call(rbind,var21); dataMat<-data.frame(data1); W<-dataMat$my; hist(W,breaks=20,probability=T) ----------------...

Hi, I am trying to read the "credit.lisp" file of the Japanese credit database in UCI repository, but it is in lisp format which I do not know how to read. I have not found how to do that in the foreign library http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening <http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening> Could anyone help me? Best

...matrix), let (w.l.o.g.) X1 denote the first r of them, and X2 the last (k-r). Likewise, let mu1 and mu2 denote their respective expectations. Then, of course, the expectation of X2 given X1=x1 is mu2 + S21*inv(S22)*(x1 - mu1) and the covariance matrix of X2 given X1=x2 is S22 - S21*inv(X11)*S12 where Sij is the matrix derived from S by taking the rows corresponding to the indices of Xi and the columns corresponding to the indices of Xj, and these define the MVN conditional distribution of X2 given X1=x1. While these are not difficult to write one's own functions for in R, I feel alm...

...lumns of X for the ### conditioning variable X1 (implies complementary set of ### columns of X for the variable X2 whose conditional ### distribution (X2 | X1=x1) is to be found). iX1<-ixX(S, ... ); iX2<-!iX1; s11<-solve(S[iX1,iX1,drop=FALSE]); s12<-S[iX1,iX2,drop=FALSE]; s21<-S[iX2,iX1,drop=FALSE]; s22<-S[iX2,iX2,drop=FALSE]; mu1<-mu[,iX1,drop=FALSE]; mu2<-mu[,iX2,drop=FALSE]; Cmu <- (x1%.+%(-mu1))%*%s11%*%s12 %.+% mu2; Cvar <- s22 - s21%*%s11%*%s12; list(Cmu=Cmu,Cvar=Cvar,iX1=iX1,iX2=iX2) } ================...

...beta : 3.198345 gamma: 1 Coefficients: [,1] a -6.491044e+44 b -3.313740e+46 s1 -4.035877e+40 s2 9.734997e+40 s3 -2.348192e+41 s4 5.664108e+41 s5 -1.366248e+42 s6 3.295545e+42 s7 -7.949232e+42 s8 1.917446e+43 s9 -4.625098e+43 s10 1.115626e+44 s11 -2.691018e+44 s12 6.491044e+44 Subsequently using the predict() function the following results are produced which are quite unusual. > x.pred = predict(hw.ts, n.ahead = 10, + prediction.interval = T, conf.level = 0.8) > > x.pred fit upr lwr Jan 2010 -3.378...

...010 Min. :0.0000 alto : 41 acuto : 41 S10 : 37 1st Qu.:0.5521 1st Qu.:0.37500 1st Qu.:0.1771 1st Qu.:0.1042 ampio : 41 arrotondato: 41 S11 : 37 Median :0.6354 Median :0.47917 Median :0.2708 Median :0.2292 angoloso : 41 basso : 41 S12 : 37 Mean :0.6403 Mean :0.46452 Mean :0.2760 Mean :0.2598 aperto : 41 chiuso : 41 S13 : 37 3rd Qu.:0.7188 3rd Qu.:0.55208 3rd Qu.:0.3750 3rd Qu.:0.3854 appoggiato: 41 compl : 41 S14 : 37 Max. :0.9375 Max. :0.92708 Max. :0...

...d <;0;3;(0,23)> failure on __vt_17__array_type_info:G(0,32)=ar(12,3);0;3;(0,23) at ;0;3;(0,23) Nothing has been defined <;0;11;(0,11)>=s12!1,020,(2,4);type:(0,25),64,32;operator=::(0,76)=##(0,77)=&(0,75);:__as__19__pointer Nothing has been defined <> failure on from:p(0,30)=*(0,31)=f(0,25) at...

Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component Weibull mixture -- where the components have a large overlap, and I am trying to adapt the "mclust" package which concern to normal

...t;, lwd=3, xlab="My values", main="Default KDE") dev.off() print(paste("Plot was saved in:", getwd())) the problem here is that I a jagged distribution, you can see the result : http://s15.postimage.org/9ucmkx3bf/foobar.png this is the original histogram : http://s12.postimage.org/e0lfp7d5p/foobar2.png any ideas on how I can smoothen it to a Gaussian curve? Thanks, - vihan

Hi, I am trying to fit the HoltWinters exponential smoothing on a monthly time series data in R. My questions are: 1. I know that the level, trend and seasonality are updated over time. So are the output coefficients a, b and s1-s12 for a specific time t (a,b and s12 for last observataion for example) ? 2. I am trying to work out the fitted values but I could not figure out the h value used in HoltWinters function? Thanks in advance Sara B. [[alternative HTML version deleted]]

...d <;0;3;(0,23)> failure on __vt_17__array_type_info:G(0,32)=ar(12,3);0;3;(0,23) at ;0;3;(0,23) Nothing has been defined <;0;11;(0,11)>=s12!1,020,(2,4);type:(0,25),64,32;operator=::(0,76)=##(0,77)=&(0,75);:__as__19__pointer Nothing has been defined <> failure on from:p(0,30)=*(0,31)=f(0,25) at...

...on 6210006, it shows the output as stated below, but there is no ringing from the pstn number nor the iax softphone am using on my pc. I will be glad if someone can give me a working config? What I want to achieve is to send all my call to the pstn on A104D? The pstn am talking to is alcatel S12 and the pri status on their switch is showing the channel is external blocked meaning that the channels are blocked from my asterisk box. . Output from asterisk cli -- Accepting AUTHENTICATED call from 10.80.1.151: > requested format = ulaw, > requested prefs = (),...

...9;t find out how to get rid of it. It seems to be someones Inbox, but it doesn't tell me whose. Here's a screenshot of Open-Xchanges Web-GUI: /http://s9.postimage.org/6aohh97ov/iehadjhb.jpg / As you can see there is an unamed folder just under Freigaben (Shares). In Thunderbird: /http://s12.postimage.org/z0n82k2u5/bjddgefg.jpg/ Now the Folder is "INBOX"...But it is noones Inbox, as the corresponding user (amazon e.g.) should be a prefix-folder right before the share. some output over Telnet: 1 lsub "" "*" * LSUB () "/" "INBOX" * L...

...4 3 S7 8 s 8 1 3 11 6 0 3 10 S8 9 s 6 9 5 8 6 8 5 6 S9 10 s 14 5 6 10 13 5 5 10 S10 11 s 15 2 18 2 14 1 18 2 S11 12 s 6 9 4 9 5 11 3 8 S12 13 s 5 5 0 12 4 3 0 8 S13 14 s 5 6 4 9 4 6 2 6 S14 15 s 14 5 12 3 12 3 11 3 S15 16 s 7 2 11 3 5 2 10 2 S16 17 s 1 7 4 5 1 6 3 5 S17 18 s...

Hi! I have a problem with Kernel density estimate plot for 3-dimensional data in ks-package. Here the example: # load ks, spatstat # three-dimensional kernel density of B B <- pp3(runif(300), runif(300), runif(300), box3(c(0,1))) x <- unclass(B$data)$df H <- Hpi(x) fhat <- kde(x, H=H) plot(fhat) plot(fhat, axes=FALSE, box=FALSE, drawpoints=TRUE);

...uot;Ra", "Rb", "Rc", "Rd", "Re", "Rf"), class = "factor"), site = structure(c(1L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L), .Label = c("s1", "s10", "s11", "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9"), class = "factor"), temp = c(23L,...

...("Ra", "Rb", "Rc", "Rd", "Re", "Rf"), class = "factor"), site = structure(c(1L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L), .Label = c("s1", "s10", "s11", "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9"), class = "factor"), temp = c(23L, 2...

...s are in the first data frames. Predict Actual 1/3/2006 S1 3 -1.943 1/3/2006 S20 4 10.376 1/3/2006 S3 2 8.611 1/3/2006 S4 1 7.465 1/3/2006 S5 0 1.648 1/3/2006 S6 -1 5.36 1/3/2006 S7 -2 4.36 1/3/2006 S8 -3 3.574 1/3/2006 S9 -4 2.748 1/3/2006 S10 -5 1.933 1/3/2006 S11 -6 0.548 1/3/2006 S12 -7 -0.66 1/3/2006 S13 -8 -1.793 1/3/2006 S14 -9 -2.163 1/3/2006 S15 -10 -3.077 1/3/2006 S16 -11 -4.723 1/3/2006 S17 -12 -5.919 1/3/2006 S18 -13 -6.529 1/3/2006 S19 -14 -7.979 1/3/2006 S20 -15 -8.064 After making sure only positives are in for top 5 predictions and only negatives for the...

...7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L), .Label = c("S1", "S10", "S11", "S12", "S13", "S3", "S4", "S5", "S6", "S8", "S9" ), class = "factor"), Product = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,...