similar to: Singularities in glm()

Hi, I have a set of new registers for x86 which I defined in X86RegisterInfo.td to be: def POI0: X86Reg<"poi0", 0>; def POI1: X86Reg<"poi1", 1>; def POI2: X86Reg<"poi2", 2>; def POI3: X86Reg<"poi3", 3>; def POI4: X86Reg<"poi4", 4>; def POI5: X86Reg<"poi5", 5>; def POI6: X86Reg<"poi6",

Hi all, I've got a few new registers and I've extended the pointer size to be 128 bits. For allocas, that is done by adding another SelectionDAG after FrameIndex that extends it to 128 bits. That seems to work okay, except that the final representation throws in additional instructions. For example for a piece of code such as: int a; int* pointer = &a; it returns pushq %rbp

Hi, I am having a problem figuring out how to extract a subset of rows. I have a list with 68 similar data.frames. Each data.frame is 500 rows by 5 columns. I want to take one row from each data.frame based upon the data in a particular column (i.e. it matches a symbol). For example: > str(database) List of 68 $ X2011.01.11:'data.frame': 500 obs. of 5 variables: ..$ Symbol

I run lm to fit an OLS model where one of the covariates is a factor with 30 levels. I use contr.treatment() to set the base level of the factor, so when I run lm() no coefficients are estimated for that level. But in addition (and regardless of which level I choose to be the base), lm also gives a vector of NA coefficients for another level of my factor. The output says that these coefficients

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I got the report Coefficients: (1 not defined because of singularities) while trying to get my model's coefficients from lm() What shall I do to avoid it and get the one missing coefficient? Thank you. lukas - -- Lukas Kubin lukas.kubin at permonik.com phone: 00420603836180 -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.0.5 (GNU/Linux)

Hello, I want to specify a linear regression model in which the metric outcome is predicted by two factors and their interaction. glm() computes effects for each factor level and the levels of the interaction. In the case of singularities glm() displays "NA" for the corresponding coefficients. However, svyglm() aborts with an error message. Is there a possibility that svyglm()

Hi- I'm wrestling with some of my data apparently not being called into a GLM or an LM. I'm looking at factors affecting fish annual catch rates (ie. CPUE) over 30 years. Two of the factors I'm using are sea surface temperature and sea surface temperature anomaly. A small sample of my data is below: CPUE Year Vessel_ID Base_Port Boat_Lgth Planing SST Anomaly 0.127

Hello, I'm doing an lm(y1~x1), no NAs in them, both of length 283. I get out however and 'NA' for the estimate of x1 and summary gives: Residuals: Min 1Q Median 3Q Max -0.1998309 -0.0447269 -0.0006252 0.0390933 0.3141687 Coefficients: (1 not defined because of singularities) Estimate Std. Error t value Pr(>|t|) (Intercept) -0.021291 0.003994 -5.331 2.01e-07 *** x1

Hello, I have a data set which I am using to find a model with the most significant parameters included and most importantly, the p-values. The full model is of the form: sad[,1]~b_1 sad[,2]+b_2 sad[,3]+b_3 sad[,4]+b_4 sad[,5]+b_5 sad[,6]+b_6 sad[,7]+b_7 sad[,8]+b_8 sad[,9]+b_9 sad[,10], where the 9 variables on the right hand side are all indicator variables. The thing I don't understand

I am using a nested model in R and the lm output shows 47 not defined because of singularities and I have no idea why. Any help on why this is happening or how to fix this problem would be very much appreciated. Below is the output I received from R. Thanks and happy holidays! Call: lm(formula = Dist ~ Treatment/SiteL/Territory) Residuals: Min 1Q Median 3Q Max -6.646 -1.443

Hello, I am trying to run a linear regression analysis on my data set. For some reason most variables are removed due to singularities. My linear regression looks this way (I am using only partial data, which is selected by flags): fm<-lm(log(cplex6.time..sec..[flags]) ~ cplex6.cities[flags] + log(1/features.meanOver.frust[flags]) + log(1/features.meanOver.minDist[flags]) + [...]

Hi, I have been trying draw tickmark labels along the y - axis perpendicular to the y axis while labels along the x - axis parallel to x axis while making box plot. Here is my test dataset. TData ID Ratio 1 0 7.075 2 0 7.414 3 0 7.403 4 0 7.168 5 0 6.820 6 0 7.294 7 0 7.238 8 0 7.938 9 1 7.708 10 1 8.691 11 1 8.714 12 1 8.066 13 1 8.949 14 1 8.590 15 1 8.714 16 1

Dear all, I am trying to use the crr function in the cmprsk package version 2.2 to analyse 198 observations.I have receive the error in solve.default. Can anyone give me some insights into where the problem is? Thanks here is my script : cov=cbind(x1,x2) z<-crr(ftime,fstatus,cov)) and data file: x1 x2 fstatus ftime 0 .02 1 263 0 .03 1 113 0 .03 1 523

Upgrading an ancient customer installation... was running 1.4.23.1 (Trixbox) with Zaptel 1.4.12.9 and a Sangoma A102D, which has been running fine for 5+ years. Customer getting anxious about hardware failure, so we built a new box and installed 1.8.24.0, Dahdi 2.7.0.1, and a new Sangoma A104D. The single active span is an RBS T1 B8ZS/ESF/E&M Wink. I tried to move one span over one

https://bugzilla.mindrot.org/show_bug.cgi?id=1944 Bug #: 1944 Summary: Wrong "Date flow start" and "Duration Proto" in version 9 with nfcapd Classification: Unclassified Product: softflowd Version: -current Platform: amd64 OS/Version: FreeBSD Status: NEW Severity:

Hello, I'm new here, and I hope I can get any help. At first I thought this is a support mailing list, but it looks more like one for developers. I'm using Nouveau in ubuntu bionic. My problem is, when I connect a second Monitor to my Laptop on DVI-D connector, the monitor is not detected, Nouveau reports it as "disconnected". The Hardware works, because the BIOS uses the

Hey, So in Fedora rawhide we are now building llvm 3.7.1 into the lots of little shared libraries format. However I'm running into a major problem with the fact that sometimes dlclose isn't dropping all the LLVM libraries from the address space of the process. We have a sequence like this: a) X server asks mesa gbm library to init, it loads the kms_swrast_dri.so with

Hello, I have attached a model file which can be used to rank new queries. Disclaimer: I don't remember if its is the updated one or the one with which I evaluated the API before. But it should work with your new queries with libsvm based letor module. Parth. -------------- next part -------------- An HTML attachment was scrubbed... URL: