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...in a different format is not an option for me. Kind regards, Claude > foo <- readMat("riversurveyor.mat", verbose=TRUE) Trying to read MAT v5 file stream... List of 7 $ type : chr "miMATRIX" $ signed : logi NA $ sizeOf : int 0 $ what : num 0 $ nbrOfBytes: int 2848 $ padding : num 0 $ compressed: logi FALSE List of 7 $ type : chr "miMATRIX" $ signed : logi NA $ sizeOf : int 0 $ what : num 0 $ nbrOfBytes: int 56 $ padding : num 0 $...

...: Call: fda(formula = fda.formula, data = train.data) Dimension: 1 Percent Between-Group Variance Explained: v1 100 Degrees of Freedom (per dimension): 4 Training Misclassification Error: 0 ( N = 4 ) My training data are: 'data.frame': 4 obs. of 41 variables: $ VA_D123: num 120 240 610 340 $ VA_D124: num 2870 3000 1900 1170 $ VA_D127: num 430 1770 690 1470 $ VA_DARU: num 69 62 129 57 $ VA_DCAN: num 664 356 667 131 $ VA_DFON: num 235 650 361 489 $ VA_DLAP: num 30 2 242 219 $ VA_DRID: num 1 0 4 7 $ VA_DRIR: num 325 117 46 132 $ VA_VVEG: num 1.5 4....

I don't understand which is the problem Could you help me please? Thanks in advance Marta > str(data_indiciN2) 'data.frame': 200 obs. of 36 variables: $ gruppo: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ I001N2: num 19.32 8.22 28.35 7.24 14.7 ... $ I002N2: num 2.92 2.54 0.11 1.6 7.12 ... $ I003N2: num -22.362 -0.222 -19.291 -21.553 2.935 ... $ I004N2: num 100 100 100 100 9.48 ... $ I005N2: num 100 100 100 100 5.99 ... $ I006N2: num 3.688 2.975 17.717 3.694 0.278 ... $ I007N2: num 200 200 200...

...3","4": 1 1 2 2 3 3 4 4 1 1 ... $ Growth : Factor w/ 2 levels "s","t": 1 2 1 2 1 2 1 2 1 2 ... $ Patch : Factor w/ 72 levels "A1_1s","A1_1t",..: 1 2 3 4 5 6 7 8 9 10 ... $ Lufttemperatur : num 17.3 17.3 17.3 17.3 17.3 ... $ NSmm : num 0 0 0 0 0 0 0 0 0 0 ... $ Luftfeuchte : num 79.2 79.2 79.2 79.2 79.2 ... $ Windst?rke : num 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 1.27 1.27 ... $ Bodentemperatur : num 18.1 18.1 18.1...

Hello all! I have a problem to arrange data in another form. My initial data is like this: 'data.frame': 421 obs. of 58 variables: $ 01A: num NA NA NA NA NA NA NA NA NA NA ... $ 01B: num NA NA NA NA NA NA NA NA NA NA ... $ 03A: num NA NA NA NA NA NA NA NA NA NA ... $ 03B: num NA NA NA NA NA NA NA NA NA NA ... $ 05A: num NA NA NA NA NA NA NA NA NA NA ... $ 05B: num NA NA NA NA NA NA NA 3.64 2.48 1.87 ... $ 07A: num NA NA NA N...

...he response variable is $V142, with 3 levels. Thanks for your suggestions! Ed. > str(x) `data.frame': 500 obs. of 142 variables $ V1 : int 4 4 4 4 4 4 4 4 4 4 ... $ V2 : Factor w/ 8 levels "1","2","3","4",..: 4 4 4 5 5 7 6 4 5 4 ... $ V3 : num 0.00803 0.00111 0.00995 0.01032 0.01295 ... $ V4 : num -0.011034 -0.003711 0.003436 0.000968 -0.006914 ... $ V5 : num 0.00524 0.00563 0.00973 0.01285 0.02148 ... $ V6 : num 0.00633 0.00831 0.02750 0.03375 0.01254 ... $ V7 : num -0.00422 -0.00151 0.00214 -0.00101 0.00299 ... $ V8...

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

Hi, it looks like Ferret still compares numeric fields by lexical ordering, not numerical ordering. I am using Ferret 0.11.4(I tried in both linux and windows, the results are the same). index = Ferret::Index::Index.new() docs = [ {:num => 1, :data => "yes"}, {:num => 1, :data => "no"}, {:num => 10...

This is what I tried: > num.vec <- c(12.34,56.78,90.12,34.56) > names(num.vec)<-c("first","second","third","fourth") > num.vec first second third fourth 12.34 56.78 90.12 34.56 > seq<-(1:4) > num.mat<-rbind(num.vec,seq) > n...

...ch comes with Asterisk installation. When I call SAY DATETIME AGI function, it simply returns without playing date & time. Where as if I use mode=old setting, it works. Is this a bug or mode=new is not implemented for SAY DATETIME AGI function? [general] mode=new ; method for playing numbers and dates ; old - using asterisk core function ; new - using this configuration file [digit-base](!) ; base rule for digit strings ; XXX incomplete yet _digit:[0-9] => digits/${SAY} _digit:[-] => letters/dash...

Hola a todos Estoy cargando una base de datos a R llamada "Base", desde excel. A la hora de utilizar funciones como: >pairs(Base) Error in pairs.default(Base) : non-numeric argument to 'pairs' Una forma de arreglar este problema es utilizando la funcion as.numeric(), pero me toca hacerlo variable por variable: >Base$Variable1<-as.numeric( Base$Variable1) >Base$Variable2<-as.numeric( Base$Variable2) etcétera, el problema es que tengo muchas v...

The field Num seems to have no meaning. It is not recognized by the backend tools. It does not hurt anything but should not be there. // We have banks of 32 registers each. class MipsReg<string n> : Register<n> { field bits<5> Num; let Namespace = "Mips"; } class ARMReg<bi...

...d * Sun + e * Fz.total,start = START, data = data, correlation=corARMA(p=p[2],q=0), na.action = na.exclude) The data d.plabutsch.neu has the following stucture: (Not all columns are NA!) > str(d.plabutsch.neu) `data.frame': 806 obs. of 90 variables: $ Tag : num NA NA NA NA NA NA NA NA NA NA ... $ b.Std : num NA NA NA NA NA NA NA NA NA NA ... $ b.Min : num NA NA NA NA NA NA NA NA NA NA ... $ e.Std : num NA NA NA NA NA NA NA NA NA NA ... $ e.Min : num NA NA NA NA NA NA NA NA NA NA ... $ CO.fresh : num NA NA NA NA N...

This code worked fine for me, then did some cleaning up of formatting using ESS (Emacs) and now I get this error, no idea what is causing it, all the brackets/parentheses seem to be balanced. What have I done wrong? Thanks Jim p0.trial01 <- 0.25 TruOR01 <- 0.80 num.patients.01 <- 50 num.trials.01 <- 5 LOR01.het.in <- 0.00 num.sims <- 1 simLOR01 <- vector(length=num.trials.01) simLORSE01 <- vector(length=num.trials.01) simOR01 <- vector(length=num.trials.01) trialnum01 <- vector(length=num.trials.01) x0count <- vector(length = num....

Below is a SIMEX object that was generated with the "simex" function from the "simex" package applied to a logistic regression fit. From this mountain of information I would like to extract all of the values summarized in this line: .. ..$ variance.jackknife: num [1:5, 1:4] 1.684 1.144 0.85 0.624 0.519 ... Can someone suggest how to go about doing this? I can extract the upper level results like fit.simex$coefficients but I have had no success getting at the lower levels. Tom > str(fit.simex) List of 24 $ coefficients : Named num [1:2] -...

Hello R experts, I have go this data frame: 'data.frame': 1 obs. of 20 variables: $ Anno : chr "PREVISIONI VS TARGET" $ OreTot: num 41 $ GioTot: logi NA $ OrGTot: logi NA $ OreCli: num 99 $ GioCli: logi NA $ OrGCli: logi NA $ OreFor: num -27 $ GioFor: logi NA $ OrGFor: logi NA $ OreOrt: num -18 $ GioOrt: logi NA $ OrGOrt: logi NA $ OreSpo: num -6 $ GioSpo: logi NA $ OrGSpo: logi NA $ OreUff: num -7 $ GioUff: log...

...-scsi + vhost-scsi-pci code.. During the last weeks debugging on the QEMU vhost memory re-mapping bug, my seabios builds have been using a smaller target ID (16) for scanning than the default hard coded value of 256 in init_virtio_scsi(). After bumping this value back to 256 recently, a bogus out_num value from vhost_get_vq_desc() start appearing on the tcm_vhost side: [17348.044031] Invalid buffer layout out: 0 in: 2 After adding more debug output to SeaBIOS, the vring->num value appears to be reset from the expected MAX_QUEUE_NUM=128, then incremented each time after vring_more_used() is...

...-scsi + vhost-scsi-pci code.. During the last weeks debugging on the QEMU vhost memory re-mapping bug, my seabios builds have been using a smaller target ID (16) for scanning than the default hard coded value of 256 in init_virtio_scsi(). After bumping this value back to 256 recently, a bogus out_num value from vhost_get_vq_desc() start appearing on the tcm_vhost side: [17348.044031] Invalid buffer layout out: 0 in: 2 After adding more debug output to SeaBIOS, the vring->num value appears to be reset from the expected MAX_QUEUE_NUM=128, then incremented each time after vring_more_used() is...

...doesn't work with my dataset. I don't understand which is the problem Could you help me please? Thanks in advance Marta > str(data_indiciN2) 'data.frame': 200 obs. of 36 variables: $ gruppo: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ I001N2: num 19.32 8.22 28.35 7.24 14.7 ... $ I002N2: num 2.92 2.54 0.11 1.6 7.12 ... $ I003N2: num -22.362 -0.222 -19.291 -21.553 2.935 ... $ I004N2: num 100 100 100 100 9.48 ... $ I005N2: num 100 100 100 100 5.99 ... $ I006N2: num 3.688 2.975 17.717 3.694 0.278 ... $ I007N2: num 200 200 200 200 1...

...min() produce different objects dimensions? > str(dats) List of 5 $ log20:'data.frame': 83 obs. of 5 variables: ..$ DATE : int [1:83] 2001081500 2001081512 2001081600 2001081612 2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ... ..$ logrho: num [1:83] 1.16 -1.30 -1.30 -1.30 -1.30 ... ..$ w2 : num [1:83] 1.01 1.27 1.24 1.31 1.28 ... ..$ rms : num [1:83] 5.001 0.630 0.616 0.685 0.655 ... ..$ maxi : num [1:83] 8.66 3.39 3.83 3.35 3.23 ... $ log30:'data.frame': 71 obs. of 5 variables: ..$ DATE : int...