search for: x13

...ize?). These are creating trouble with subsequent programs, which I tested with strings that for some reason do not have these double quotes (see very bottom). > cum1 [1] "A11*(X11*x1+X21*x2)+1*sqrt(B11*(X11*x1+X21*x2)^2+C11)A12*(X12*x1+X22*x2)+1*sqrt(B12*(X12*x1+X22*x2)^2+C12)A13*(X13*x1+X23*x2)+-1*sqrt(B13*(X13*x1+X23*x2)^2+C13)A14*(X14*x1+X24*x2)+-1*sqrt(B14*(X14*x1+X24*x2)^2+C14)A15*(X15*x1+X25*x2)+1*sqrt(B15*(X15*x1+X25*x2)^2+C15)A16*(X16*x1+X26*x2)+1*sqrt(B16*(X16*x1+X26*x2)^2+C16)A17*(X17*x1+X27*x2)+1*sqrt(B17*(X17*x1+X27*x2)^2+C17)A18*(X18*x1+X28*x2)+1*sqrt(B18*(X18*x1+X2...

...*****************************/ # function get_rnd_iv( $iv_len ) { $iv = ''''; while ( $iv_len-- > 0 ) { $iv .= chr( mt_rand( ) & 0xff ); } return $iv; } function md5_encrypt( $plain_text, $password, $iv_len = 16 ) { $plain_text .= "\x13"; $n = strlen( $plain_text ); if ( $n % 16 ) { $plain_text .= str_repeat( "\0", 16 - ( $n % 16 ) ); } $i = 0; $enc_text = get_rnd_iv( $iv_len ); $iv = substr( $password ^ $enc_text, 0, 512 ); while ( $i < $n ) { $block = substr...

Dear all, I have encountered a problem when perform stepwise regression. The dataset have more 9 independent variables, but 7 observation. In R, before performing stepwise, a lm object should be given. fm <- lm(y ~ X1 + X2 + X3 + X11 + X22 + X33 + X12 + X13 + X23) However, summary(fm) will give: Residual standard error: NaN on 0 degrees of freedom Multiple R-Squared: 1, Adjusted R-squared: NaN F-statistic: NaN on 6 and 0 DF, p-value: NA In this situation, step() or stepAIC() will not give any useful information. I don't know w...

...It's clear that there are 4 common instructions (marked with an *) in BB#14 and BB#15: -------------------------------------------------------------------------------- BB#14: derived from LLVM BB %if.end.1 Live Ins: %X16 %X17 %X18 %X7 %X0 %X6 %X4 %W8 %X15 %X14 %W3 %W2 %X1 %X10 %X11 %X12 %X13 %X9 Predecessors according to CFG: BB#12 %X5<def> = ADDXrr %X16, %X13 * %W19<def> = LDRBBui %X5, 1; mem:LD1[%scevgep95](tbaa=<0x6e02518>) * %W3<def> = MADDWrrr %W2<kill>, %W3<kill>, %WZR * %W2<def> = SUBWrr %W3<kill>, %W1...

...,5),x2=c(2,3,3,3,NA,1,2,1,2,1),x3=c(5,3,4,1,5,5,5,5,5,5),x4=c(5,3,4,5,5,5,5,5,5,5),x5=c(5,4,3,3,4,4,4,5,NA,5),x6=c(3,5,2,1,4,NA,NA,5,3,4),x7=c(5,4,3,4,4,3,4,NA,NA,4),x8=c(5,5,3,4,5,4,5,4,5,5),x9=c(5,1,1,1,NA,3,3,2,2,3),x10=c(5,5,2,3,4,3,1,3,2,5),x11=c(5,4,4,5,5,4,5,4,5,5),x12=c(5,4,5,5,5,4,5,5,5,5),x13=c(5,4,4,5,5,5,5,5,5,5),x14=c(5,3,3,NA,5,4,5,3,NA,5),x15=c(4,4,4,3,4,5,2,4,5,5),x16=c(5,4,3,3,4,4,3,3,4,5)) and I want to carry out a confirmatory factor analysis using the "cfa" function (lavaan). library(lavaan) then I specify my model cfa.model<-'      f1=~x1+x2+x3+x4+x5    ...

Hi All, I'm attempting to use eps-regression or nu-regression SVM to compute probabilities but the predict function applied to an svm model object returns values outside [0, 1]: Variable Data looks like: Present X02 X03 X05 X06 X07 X13 X14 X15 X18 1 0 1634 48 2245.469 -1122.0750 3367.544 11105.013 2017.306 40 23227 2 0 1402 40 2611.519 -811.2500 3422.769 10499.425 1800.475 40 13822 3 0 1379 40 2576.150 -842.8500 3419.000 10166.237 2328.756 37 14200 4 0 1869 51 2645.794 -982.2938 3628.088 9610.037 1699.656 43 20762 ... and bgEnv...

I have a dataset that is basically structureless. Its dimension varies from row to row and sep(s) are a mixture of tab and semi colon (;) and example is HEADER1 HEADER2 HEADER3 HEADER3 A1 B1 C1 X11;X12;X13 A2 B2 C2 X21;X22;X23;X24;X25 A3 B3 C3 A4 B4 C4 X41;X42;X43 A5 B5 C5 X51 etc., say. Note that a blank under HEADER3 corresponds to non occurance and all semi colon (;) delimited variables are under HEADER3. These values run into...

...e in which the columns need to be ordered. The first column X is at the right position, but the remaining columns X1-Xn should be ordered like this: X1, X2, X3 etc instead of like below. > colnames(pos1) [1] "X" "X1" "X10" "X11" "X12" "X13" "X14" "X15" "X16" "X17" "X18" "X19" "X2" "X20" "X3" "X4" "X5" "X6" "X7" "X8" "X9" > pos1[1:5,1:5] X X1 X10...

Hi I get a matrix with the columns named like "X13 X22 X1 X14 ...", i.e. not successively. That has it's good reasons, but now how can I rename the columns to "X1 X2 X3 ..."? Thanks a lot, David

Hi, May be this helps (Assuming that there are only '0's and '1's in the dataset) dat1<-read.table(text=" ??????? ID X0 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 1?? 5184??? 0??? 0??? 0??? 0??? 0?? 0?? 0??? 0??? 0??? 1???? 0????? 0????? 0????? 0????? 0????? 0 2?? 6884??? 0??? 0??? 1??? 0??? 0?? 1?? 0??? 0??? 0??? 0???? 0????? 0????? 0????? 0????? 0????? 0 3? 11329?? 0??? 0??? 0??? 0??? 0?? 1?? 0??? 0??? 0??? 0???? 0????? 0????? 0????? 0????? 0?????...

...X10 = c(294.532531738281, 295.366607666016, 297.677551269531, 296.715911865234, 296.564178466797 ), X11 = c(295.869476318359, 297.010070800781, 299.330169677734, 297.627593994141, 297.964935302734), X12 = c(295.986236572266, 297.675567626953, 299.056671142578, 297.598907470703, 298.481842041016 ), X13 = c(295.947601318359, 297.934448242188, 298.745391845703, 297.704925537109, 298.819091796875), X14 = c(294.654327392578, 296.722717285156, 297.0986328125, 296.508239746094, 297.822021484375 ), X15 = c(292.176361083984, 294.49658203125, 293.888305664062, 294.172149658203, 296.117095947266), X16 = c(...

...FileName <- paste(path, path2, name, ".txt", sep="") > > # reading in the training dataset > dat1 <- read.table(actualFileName, header=TRUE, sep="\t", > colClasses="character") > > head(dat1) X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 ... SR 1 M K V K L L V L L C T F T A T Y A ... suscep 2 M K V K L L V L L C T F A A T Y A ... suscep 3 M K V K L L V L L C T F T A T Y A ... resist ... > # some of the important sites identified by fishe...

Dear all, I had a R segmentation fault, and then invoked debug mode and ran step by step. When I reached "terms(Y~X1*X2*...*X16)", I would then have "segmentation" fault. However, if I just ran this under regular "R interactive" mode, it would be fine though taking long time. My questions are: 1. Is there a known limit of terms for a formula? 2. Why does the

Dear all, I had a R segmentation fault, and then invoked debug mode and ran step by step. When I reached "terms(Y~X1*X2*...*X16)", I would then have "segmentation" fault. However, if I just ran this under regular "R interactive" mode, it would be fine though taking long time. My questions are: 1. Is there a known limit of terms for a formula? 2. Why does the

...2 %y9, %b10 br i1 %cond, label %Repeat2, label %Untilcmp2 Untilcmp2: ; preds = %Until2 %x11 = load i32* %x %add12 = add i32 %x11, 1 store i32 %add12, i32* %x br label %Until1 Until1: ; preds = %Untilcmp2 %x13 = load i32* %x %a14 = load i32* %a1 %cond15 = icmp sge i32 %x13, %a14 br i1 %cond15, label %Repeat1, label %Untilcmp1 Untilcmp1: ; preds = %Until1 %c16 = load i32* %c ret i32 %c16 } verifying module Optimize Function Run in JIT Jit Result: = 0 sh...

...-1.95 0.325 -6.01 1.82e-09 Detection: Estimate SE z P(>|z|) 0.539 0.556 0.969 0.333 AIC: 114.2012 > (occu2 <- occu(~x3 ~x1, umf)) Call: occu(formula = ~x3 ~ x1, data = umf) Occupancy: Estimate SE z P(>|z|) (Intercept) -1.729 1.11 -1.5505 0.121 x13 -0.020 1.16 -0.0172 0.986 x14 -0.163 1.35 -0.1207 0.904 Detection: Estimate SE z P(>|z|) (Intercept) -1.0434 1.0762 -0.969 0.332 x3 0.0168 0.0106 1.581 0.114 AIC: 117.5561 > (occu3 <- occu(~x3+x1 ~x1, umf)) Call: occu(formu...

...install Oracle 9i database in wine, and get a huge error message with lots to do with java i think. Can anyone help with this? I also cant find the error log it said it created. tnh at webbook:~$ wine /home/tnh/Desktop/Disk1/autorun/autorun.exe err:mmio:MMIO_ParseExtA No . in szFileName: "?\x13???\x13??????H\x11" err:mmio:MMIO_ParseExtA No . in szFileName: "" err:mmio:MMIO_ParseExtA No . in szFileName: "Z:\\home\\tnh\\Desktop\\Disk1\\autorun\\" err:mmio:MMIO_ParseExtA No . in szFileName: "?\x13???\x13??????H\x11" tnh at webbook:~$ An unexpected exceptio...

...016, 297.677551269531, 296.715911865234, 296.564178466797 > > ), X11 = c(295.869476318359, 297.010070800781, 299.330169677734, > > 297.627593994141, 297.964935302734), X12 = c(295.986236572266, > > 297.675567626953, 299.056671142578, 297.598907470703, 298.481842041016 > > ), X13 = c(295.947601318359, 297.934448242188, 298.745391845703, > > 297.704925537109, 298.819091796875), X14 = c(294.654327392578, > > 296.722717285156, 297.0986328125, 296.508239746094, 297.822021484375 > > ), X15 = c(292.176361083984, 294.49658203125, 293.888305664062, > > 294.1...

...150. However, I would like to add the following two constraints: # 1. weighted sums by column # w is a vector of known constants, i.e., w = c(1.2, .9, .7, 2.3) # r is also known, i.e., r = 4 w1*x11 + w2*x21 + w3*x21 + w4*x41 == r # col 1 w1*x12 + w2*x22 + w3*x32 + w4*x42 == r # col 2 w1*x13 + w2*x23 + w3*x33 + w4*x43 == r # col 3 # 2. By column, the number of X's greater than zero should be two or greater. In this small example, this condition is satisfied, but I would like to make sure that it is also satisfied in my problem. # 3. Using lp.transport(), the function to be m...

Hi.. i have an expression of the form: model1<-nls(y~beta1*(x1+(k1*x2)+(k1*k1*x3)+(k2*x4)+(k2*k1*x5)+(k2*k2*x6)+(k3*x7)+(k3*k4*x8)+(k3*k2*x9)+(k3*k3*x10)+ (k4*x11)+(k4*k1*x12)+(k4*k2*x13)+(k4*k3*x14)+(k4*k4*x15)+(k5*x16)+(k5*k1*x17)+(k5*k2*x18)+(k5*k3*x19)+ (k5*k4*x20)+(k5*k5*x21)+(k6*x22)+(k6*k1*x23)+(k6*k2*x24)+(k6*k3*x25)+(k6*k4*x26)+(k6*k5*x27)+(k6*k6*x28)+ (k7*x29)+(k7*k1*x30)+(k7*k2*x31)+(k7*k3*x32)+(k7*k4*x33)+(k7*k5*x34)+(k7*k6*x35)+(k7*k7*x36)),x,...