search for: i12

...173041 i8 -1.166290e-18 1.287370e-17 -9.059482e-02 0.92788026 i9 1.627371e-17 1.540567e-17 1.056345e+00 0.29173427 i10 4.001692e-18 1.365740e-17 2.930053e-01 0.76973827 i12 -1.052843e-17 1.324484e-17 -7.949081e-01 0.42735000 i13 2.571236e-17 1.357336e-17 1.894325e+00 0.05922715 This is my coeffcients table.Here I want ti inser t rows with value NA in all columns in between and after...

...t it’s not working *predictors_values data frame is shown below:---------------* x 2 recmeanC2 3 recmeanC3 4 recmeanC4 5 i1 6 i2 7 i3 8 i4 9 i5 10 i6 11 i7 12 i8 13 i9 14 i10 15 i11 16 i12 17 i13 18 i14 19 i15 *coef_dataframe_rownames data frame is shown below:----* if (stringsAsFactors) factor(x) else x 1 recmeanC2 2 recmeanC3 3 recmeanC4 4...

...such cases using current llvm trunk, it uses a set of instrinsics starting with llvm.amdgcn, while it still uses llvm.r600.read.local.size.x(). The output LLVM IR code is like: define void @g(float addrspace(1)* nocapture %array) #0 { %x.i.i = tail call i32 @llvm.amdgcn.workgroup.id.x() #2 %x.i12.i = tail call i32 @llvm.r600.read.local.size.x() #1 %mul26.i = mul i32 %x.i12.i, %x.i.i %x.i4.i = tail call i32 @llvm.amdgcn.workitem.id.x() #2, !range !7 %add.i = add i32 %x.i4.i, %mul26.i %0 = sext i32 %add.i to i64 %arrayidx = getelementptr inbounds float, float addrspace(1)* %array, i...

...==i6) for(i7 in levels(f$aktiv)){ g<-subset(f,f$aktiv==i7) for(i8 in levels(g$pocpartF)){ h<-subset(g,g$vekF==i8) for(i9 in levels(h$stav)){ i<-subset(h,h$stav==i9) for(i10 in levels(i$partner)){ j<-subset(i,i$partner==i10) for(i11 in levels(i$aktiv6)){ k<-subset(j,j$aktiv6==i11) for(i12 in levels(k$pocpart6F)){ l<-subset(k,k$pocpart6F==i12) for(i13 in levels(l$styk6F)){ m<-subset(l,l$styk6F6==i13) for(i14 in levels(k$kond6F)){ n<-subset(m,m$kond6F==i14) for(i15 in levels(k$styd)){ o<-subset(n,n$styd==i15) for(i16 in levels(k$zasl)){ p<-subset(o,o$zasl==i16) for(i17...

...%dim, label %get_local_id.exit [ i32 0, label %get_group_id.exit.thread i32 1, label %get_group_id.exit.thread22 i32 2, label %get_group_id.exit.thread24 ] get_group_id.exit.thread: ; preds = %entry %x.i = tail call i32 @llvm.amdgcn.workgroup.id.x() #13 %x.i12 = tail call i32 @llvm.r600.read.local.size.x() #3 %mul26 = mul i32 %x.i12, %x.i %x.i4 = tail call i32 @llvm.amdgcn.workitem.id.x() #13, !range !1 br label %get_local_id.exit ... } So it shows that some intrinstics are still using llvm.r600.xxx. I have no idea if I ever missed something so th...

...covariances cannot be computed". I have run CFA before with no issues. This is the first time I am running a nested model. Any help will be greatly appreciated. Regards, Mat cov.matrix<-cov(na.omit(df)) cfa.model<-specifyModel() F1->i2,a1 F1->i3,a2 F1->i4,a3 F1->i11,a4 F1->i12,a5 F1->i15,a6 F1->i18,a7 F2->i6,b1 F2->i7,b2 F2->i8,b3 F2->i13,b4 F2->i20,b5 F3->F1,c1 F3->F2,c2 F4->i1,d1 F4->i5,d2 F4->i9,d3 F4->i10,d4 F4->i14,d5 F4->i16,d6 F4->i17,d7 F4->i19,d8 F1<->F1,NA,1 F2<->F2,NA,1 F3<->F3,NA,1 F4<-&g...

How to NATURAL sort a vector or data frame* by row* , in ascending order ? V1 V2 V3 V4 i1 5.000000e-01 1.036197e-17 4.825338e+16 0.00000000 i10 4.001692e-18 1.365740e-17 2.930053e-01 0.76973827 i12 -1.052843e-17 1.324484e-17 -7.949081e-01 0.42735000 i13 2.571236e-17 1.357336e-17 1.894325e+00 0.05922715 i2 -5.630739e-18 1.638267e-17 -3.437010e-01 0.73133282 i3 4.291387e-18 1.207522e-17 3.553879e-01 0.72257050 i4 1.472662e-17 1.423051e-17 1.034863e+00 0.30...

...72 4.8545 > > > > Coefficients: > > Estimate Std. Error t value Pr(>|t|) > > > > > (Intercept) 9.440e-01 8.968e-02 10.526 < 2e-16 > > *** > > I11 -6.857e-02 3.693e-02 -1.857 0.063468 > . > > > > I12 -7.338e-02 4.142e-02 -1.771 0.076598 > . > > > > I13 3.329e-02 4.130e-02 0.806 0.420208 > > > > > I14 1.830e-01 3.717e-02 4.924 9.00e-07 > > *** > > I15 2.015e-01 3.480e-02 5.789 7.93e-09 > > *** &gt...

Hi all, hope someone can help me out with this. Background Introduction I have a data set consisting of data collected from a questionnaire that I wish to validate. I have chosen to use confirmatory factor analysis to analyse this data set. Instrument The instrument consists of 11 subscales. There is a total of 68 items in the 11 subscales. Each item is scored on an integer scale between 1 to 4.

...ssociated with the strata "id". I suppose the log odds associated with strata(id) gives me \alpha_k. But I can't seem to get them with summary(). Help is greatly appreciated. Yuelin Li. ---- my R syntax is ----------- > exam2.clog<- clogit(resp ~ i5+i6+i7+i8+i9+i10+i11+i12+i13+i14+ i15+i16+i17+ strata(id), data=exam1.1) > summary(exam2.clog) Call: clogit(resp ~ i5 + i6 + i7 + i8 + i9 + i10 + i11 + i12 + i13 + i14 + i15 + i16 + i17 + strata(id), data = exam1.1) n= 476 coef exp(coef) se(coef) z p i5 0.514 1.67...

...) function produces the results in this way:-- *RESULTS:--* *>fact1<- factanal(data_withNA,factors=1,rotation="none") >fact1$"loadings"* Loadings: Factor1 i1 0.784 i2 0.874 i3 0.786 i4 0.839 i5 0.778 i6 0.859 i7 0.850 i8 0.763 i9 0.810 i10 0.575 i11 0.745 i12 0.777 i13 0.674 i14 0.644 i15 0.796 * Factor1 SS loadings 8.995 Proportion Var 0.600* *How to access the second table* i.e the table other than the "Loadings" table? *Question2:---* How to calculate the* "initial" communalities*?Is there any funct...

Dear useRs from the physiology department, Does someone know of an implementation of the SF-36 questionnaire scoring in R? I only found SAS and STATA versions, e.g http://gim.med.ucla.edu/FacultyPages/Hays/util.htm Dieter

...4422313334 2343341333323233333343322 2213241223212322222223333 3113244123342212232312334 2113241123342213232313334 2114141123112214222113334 . . . . The syntax is: AGGREGATE /OUTFILE='C:\Documents and Settings\Coraz?n\Mis documentos\copia.sav' /BREAK=i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 i12 i13 i14 i15 i16 i17 i18 i19 i20 i21 i22 i23 i24 i25 /N_BREAK=N. The results is: 1112241123312213222443444 1 2111141123112212312313334 1 2111141123112414212113344 2 2111241123112311124312231 1 2111341122112111412113341 1 2111341123312213312413334 1 2112141123212213212213334 1 211221112221...

...nsure that its "target-neutral" bitcode really is neutral for the range of platforms it actually cares about. Portable code can't be truncating arbitrary pointers to some smaller type anyway; if the client just wants to munge the bottom bits, it can zext and trunc to and from i8/i12/whatever. John. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20091112/d7391b64/attachment.html>

...get- > neutral" bitcode really is neutral for the range of platforms it > actually cares about. Portable code can't be truncating arbitrary > pointers to some smaller type anyway; if the client just wants to > munge the bottom bits, it can zext and trunc to and from i8/i12/ > whatever. The optimizer assumes that the input and output of (e.g.) zext are both IntegerType's (which intptr won't be) and that the input is smaller (and thus non-equal to) the result type. We really don't want to break these invariants, -Chris

...1 15.639 15.639 2.63E+33 < 2e-16 *** i6 1 1.64E-34 1.64E-34 2.76E-02 0.86812 i7 1 1.72E-33 1.72E-33 2.89E-01 0.59112 i8 1 9.29E-34 9.29E-34 1.57E-01 0.69273 i9 1 6.38E-33 6.38E-33 1.07E+00 0.30092 i10 1 1.02E-32 1.02E-32 1.71E+00 0.19166 i12 1 2.25E-33 2.25E-33 3.80E-01 0.53831 i13 1 2.13E-32 2.13E-32 3.5885e+00 0.53831 0.53831 Regression 15 1.43E+02 9.54E+00 1.61E+33 < 2.2e-16 Residuals 276 1.64E-30 5.94E-33 Total 291 1.43E+02 Instead of the values in the rows from reacmeanC1 to i15...what i want is a summarized...

On Nov 12, 2009, at 7:35 PM, Talin wrote: > On Thu, Nov 12, 2009 at 5:58 PM, Chris Lattner <clattner at apple.com> > wrote: > > There is also the issue of how constants should be represented. > > For all current processors that I know of, an intptr will be either > 32 or 64 bits. However, there may be some future processor which > supports 128-bit pointers

* * Hi , Can anyone help me please with this problem?* * *CASE-I* all_raw_data_NAomitted is my data frame.It has columns with names i1 ,i2, i3,i4…, till i15.It has 291 rows actually ,couldn’t show here. The data frame looks like this:-- i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 i12 i13 i14 i15 2 2 2 2 2 2 2 2 2 2 2 1 2 2 3 2 3 2 2 2 2 3 2 2 3 3 3 2 3 3 3 3 4 2 2 2 2 2 2 2 1 1 1 2 1 2 2 2 6 2 2 1 2 1 1 2 2 1 1 1 1 2 2 2 8 3 2 2 2 3 3...

...l need to install the 'CCA' package in R before running it. I am also thinking maybe I may only be able to run the regularized CCA rather than Classical CCA. But I hope to run one or the other. If anyone needs an easy example of CCA please follow the link below: http://www.jstatsoft.org/v23/i12/paper (scroll to about the bottom of page 7 ) I've tried to follow the example as well and still have problems. Thank You...Thank You -- View this message in context: http://r.789695.n4.nabble.com/How-to-Perform-CCA-in-R-Help-please-tp2329336p2329336.html Sent from the R help mailing list a...

This question pertains to setting up a model in the package "dlm" (dynamic linear models, http://cran.r-project.org/web/packages/dlm/index.html I have read both the vignette and?"An R Package for Dynamic Linear Models" (http://www.jstatsoft.org/v36/i12/paper), both of which are very helpful. There is also some discussion at https://stat.ethz.ch/pipermail/r-help/2009-May/198463.html I have what I think is a relatively straightforward state-space model but am unable to translate it into the terms of dlm. ? It would be very helpful to get a basic...