similar to: Cohen's kappa, unequal score ranges

Here is a couple of very simple data.frames: X<-data.frame(A=1:10, B=0, C=1, Ob1=1:10, Ob2=2:11, Ob3=3:12, Ob4=4:13, Ob5=3:12, Ob6=2:11) Y<-data.frame(A=1:20, B=0, C=1, D=5, Ob1=1:10, Ob2=2:11, Ob3=3:12, Ob4=4:13, Ob5=3:12, Ob6=2:11, Ob7=5:9) Z<-data.frame(A=1:30, B=0, C=1, D=6, E=1:2, Ob1=1:10, Ob2=2:11, Ob3=3:12, Ob4=4:13, Ob5=3:12, Ob6=2:11, Ob7=1:10, Ob8=3:12) Each row in the

Hello, I?m looking for a way to measure the goodness of fit of my model with Cohen?s Kappa (scaling between 0 and 1). The kappa function does not give the results I?m looking for. Heres the code: z<-glm(x~y,binomial) kappa(z, exact = T) Does anyone know more? many thanks Christian -- _______________________________________________ Search for businesses by name, location, or phone number.

Hi, After manipulate my data I have ended up with 5 different data frames with different number of observations but the same number of variables (columns) An example, if I write str(object1), I see this, data.frame': 47 obs. of 3 variables: $ ORF : Factor w/ 245 levels "YAL038W","YAL054C",..: 10 19 38 39 44 45 50 51 59 60 ... $ mRNA : num 0.891 1.148 1.202

Dear R-user, Did anybody know how to calculate the kappa statistics of two vectors for the agreement? for example: a<-c(0,1,0,0,1,0) b<-c(0,1,1,0,0,1) I know the percent of agreement is 3/6, but how to get the kappa? [[alternative HTML version deleted]]

Hello, I'm new to R but wan't to use it to compute the statistics of my medical study. The study includes several parameters for a number of patients. Each parameter was assessed by a number of readers, once with a special condition, once without. Now I have a data.frame with colums like: PatientID, ReaderID, SpecialCond(yes/no), Parameter1, Parameter2..... the rows are not sorted, and

Hi, im little bit confused about Cohen's Kappa and i should be look into the Kappa function code. Is the easy formula really wrong? kappa=agreement-chance/(1-chance) many thanks christian ############################################################################### true-negativ:7445 false-positive:3410 false-negativ:347 true-positiv:772 classification-aggrement:68,6%

Dear all, I have a question on Cohen's kappa: Assume I have two datasets, one has 500 objects, 10 methods and the other, 1000 different objects, 20 different methods. Could I compare between the two datasets to conclude the 10 methods are more "concordant" than the 20 ones by looking at some output, for example, cohen.kappa{concord} ? One more, could anyone explain in brief,

Hi, I've got two vectors with ratings from two coders, like this: x<-c("red", "yellow", "blue", "red") #coder number 1 y<-c("red", "blue", "blue", "red") #coder number 2 I want to find Cohen's Kappa using the wkappa function in the psych package. The only example in the docs is using a matrix, which

Dear all, I am using GNU screen to run multiple R sessions from one working directory in order to split task, however I noticed that dataset is not synchronized e.g. if I have two sessions R1 and R2, and I remove an object from R1, R2 doesn't change as expected or change at random. I have tried to save.image(), q() and then restart both sessions, but it does not help. Any suggestions?

Hello, I'm trying to run a code that uses the snowfall package. Here is the structure of my code. sfInit(parallel=T, cpus = 5, slaveOutfile="ErrorMessage.txt") sfExportAll() sfLibrary(rgdal) sfLibrary(raster) sfLibrary(sp) sfLibrary(rgeos) sfLibrary(snowfall) system.time( sfClusterApplyLB(1:10, function(k) { sfCat(paste("Iteration ", k),

compiler-rt libs must be built with /MT, so the MSVS build is doing the wrong thing here. 2014-10-23 12:52 GMT-07:00 Aaron Ballman <aaron at aaronballman.com>: > On Thu, Oct 23, 2014 at 3:42 PM, Aaron Ballman <aaron at aaronballman.com> wrote: >> On Thu, Oct 23, 2014 at 3:38 PM, Aaron Ballman <aaron at aaronballman.com> wrote: >>> On Thu, Oct 23, 2014 at 2:57

Greetings, I am a bit confused by the results returned by the functions: cohen.kappa {concord} classAgreement {e1071} when using a two-way table. for example, if I have an matrix A, and a similar matrix B (same dimensions), then: matrix A and B can be found: http://casoilresource.lawr.ucdavis.edu/drupal/files/a_40.txt http://casoilresource.lawr.ucdavis.edu/drupal/files/b_40.txt A <-

Hello, I am using logistic discriminant analysis to check whether a known classification Yobs can be predicted by few continuous variables X. What I do is to predict class probabilities with multinom() in nnet(), obtaining a predicted classification Ypred and then compute the percentage P(obs) of objects classified the same in Yobs and Ypred. My problem now is to figure out whether P(obs) is

On Thu, Oct 23, 2014 at 3:38 PM, Aaron Ballman <aaron at aaronballman.com> wrote: > On Thu, Oct 23, 2014 at 2:57 PM, Aaron Ballman <aaron at aaronballman.com> wrote: >> On Thu, Oct 23, 2014 at 2:46 PM, Timur Iskhodzhanov <timurrrr at google.com> wrote: >>> 2014-10-23 11:34 GMT-07:00 Aaron Ballman <aaron at aaronballman.com>: >>>> On Thu, Oct

That's good news. For having debug info, you could try adding /Z7 on the cmake cmd-line, such as -DCMAKE_CXX_FLAGS="/Z7". Or use the 'RelWithDebInfo' target instead of 'Release' and add -DCMAKE_CXX_FLAGS="/Ob2" (because that target uses /Ob1 as a default). Can you please send a patch on Phabricator if you fix the LLVM_ENABLE_PDB issue with Clang? The goal

Can you please try using Ninja instead? cmake -G Ninja f:/svn/llvm -DCMAKE_BUILD_TYPE=Release -DLLVM_OPTIMIZED_TABLEGEN=true -DLLVM_EXTERNAL_LLD_SOURCE_DIR=f:/svn/lld -DLLVM_TOOL_LLD_BUILD=true -DLLVM_ENABLE_LLD=true -DCMAKE_C_COMPILER="C:/Program Files/LLVM/bin/clang-cl.exe" -DCMAKE_CXX_COMPILER="C:/Program Files/LLVM/bin/clang-cl.exe" -DCMAKE_LINKER="C:/Program

Let's say I have a within-subject experiment with 2 observables, obs1 and ob2 and 2 independent factors, fac1 and fac2. I can do summary( aov( obs1~fac1*fac2 + Error(Subject/(fac1*fac2)) ) ) summary( aov( obs2~fac1*fac2 + Error(Subject/(fac1*fac2)) ) ) to test the 2 observables separately. > summary( fit<-manova( cbind(obs1,obs2)~fac1*fac2 + Error(Subject/(fac1*fac2)) ) ) gives

Dear R-experts! Running a meta-analysis (using the magnificent metafor-package), I use cohen's d as a main outcome measure in a random-effects model. For most of the samples cohen's d is derived form a comparison of two groups (A & B). However some studies report results from an ANOVA (one-factor with three levels: C,D,E) whereas two groups (C,D) correspond to one group in the other

I think its a huge bug that it doesn't raise any errors or warnings about it. But I will open a ticket on cmake, they should be using clang-cl.exe and lld-link.exe if T="llvm" probably set host to 64 bit as well. On Mon, Feb 25, 2019 at 3:34 PM Zachary Turner <zturner at google.com> wrote: > > I don’t think changing the compiler or linker is supported with the vs

Times for lld compiled with LTO: Input File Reading: 1430 ms ( 3.3%) Code Layout: 486 ms ( 1.1%) PDB Emission (Cumulative): 41042 ms ( 94.6%) Add Objects: 33117 ms ( 76.4%) Type Merging: 25861 ms ( 59.6%) Symbol Merging: 7011 ms ( 16.2%) TPI Stream Layout: 996 ms ( 2.3%) Globals Stream Layout: