search for: x55

...x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15 + x16 + x17 + x18 + x19 + x20 + x21 + x22 + x23 + x24 + x25 + x26 + x27 + x28 + x29 + x30 + x31 + x32 + x33 + x34 + x35 + x36 + x37 + x38 + x39 + x40 + x41 + x42 + x43 + x44 + x45 + x46 + x47 + x48 + x49 + x50 + x51 + x52 + x53 + x54 + x55 + x56 + x57 + x58 + x59 + x60 + x61 + x62 + x63 + x64 + x65 + x66 + x67 + x68 + x69 + x70 + x71 + x72 + x73 + x74 + x75 + x76 + x77 + x78 + x79 + x80) it gives me an error "Error in eval(expr, envir, enclos) : object 'x3' not found" which I dont know why I am given those errors. T...

...quot; % (self.endness[-2:].lower(), self.addr, self.data) (which gets the data in a register and store it in another register) I translate it in llvmlite as follows: from ctypes import CFUNCTYPE, c_intimport archinfoimport llvmlite.ir as llimport llvmlite.binding as llvmimport pyvex CODE = b"\x55\x48\x8b\x05\xb8\x13\x00\x00"mehran = -100 llvm.initialize()llvm.initialize_native_target()llvm.initialize_native_asmprinter() module = ll.Module()func_ty = ll.FunctionType(ll.VoidType(), [])func = ll.Function(module, func_ty, name='read_instructions')a = func.argsbb_entry = func.append...

...quot;,"X37","X38","X39","X40","X41","X42","X43","X44","X45","X46","X47","X48","X49","X50","X51","X52","X53","X54","X55","X56","X57","X58","X59","X60","X61","X62","X63","X64","X65","X66","X67","X68","X69","X70","X71","X72","X73",&quot...

...50]))) Guilda1<-cbind(X27,X48) Guilda2<-cbind(X5,X17,X19,X20,X21,X24,X25,X26,X40,X41,X77) Guilda3<-cbind(X22,X28,X69) Guilda4<-cbind(X29,X30,X31,X32,X33,X34,X35,X36,X37,X78) Guilda5<-cbind(X3,X8,X18,X23,X63,X82,X83) Guilda6<-cbind(X6,X38,X39,X44,X45,X46,X47,X49,X50,X51,X52,X53,X54,X55,X56,X57,X58,X59,X60,X61,X62,X84) Guilda7<-cbind(X1,X2,X42,X43,X64,X65,X66,X67,X68,X79,X80) Guilda8<-cbind(X7,X15,X16,X70,X71,X72,X73,X74,X75,X76) Guilda9<-cbind(X4,X9,X10,X11,X12,X13,X14,X81) Resul.Guilda1<-sum(apply(Guilda1,2,sum)) Resul.Guilda2<-sum(apply(Guilda2,2,sum)) Resul.Guil...

...X37","X38","X39","X40","X41" > ,"X42","X43","X44","X45","X46","X47","X48","X49","X50","X51" > ,"X52","X53","X54","X55","X56","X57","X58","X59","X60","X61" > ,"X62","X63","X64","X65","X66","X67","X68","X69","X70","X71" > ,"X72","X73...

..."X38" "X39" "X40" [41] "X41" "X42" "X43" "X44" "X45" "X46" "X47" "X48" "X49" "X50" "X51" "X52" "X53" "X54" "X55" "X56" "X57" "X58" "X59" "X60" [61] "X61" "X62" "X63" "X64" "X65" "X66" "X67" "X68" "X69" "X70" "X71" "X72"...

Hello, I have looked on https://www.r-project.org/bugs.html , but it seems that this is the only way to do it. The issue is that the precision used by write.csv is on consistant for big files. See the following code: First I create a large dataframe filled with random uniform values. Then I write it to .csv and print out the first and last lines. df = data.frame(replicate(100, runif(1000000,

...model All X. variables are continuous, while the conditions are categoricals. model <- lm(X2 +X3+X4+X5+X6+X7+X8+X9+X10+X11+X12+X13+X14+X15+X16+X17+X18+X19+X20+X21+X22+X23+X24+X25+X26+X27+X28+X29+X30+X31+X32+X33+X34+X35+X36+X37+X38+X39+X40+X41+X42+X43+X44+X45+X46+X47+X48+X49+X50+X51+X52+X53+X54+X55+X56+X57+X58+X59+X60+X61+X62+X63+X64+X65+X66+X67+X68+X69+X70+X71+X72+X73+X74+X75+X76+X77+X78+X79+X80+X81+X82+X83+X84+X85+X86+X87+X88+X89+X90+X91+X92+X93+X94+X95+X96+X97+X98+X99+X100+X101+X102+X103+X104+X105+X106+X107+X108+X109+X110+X111+X112+X113+X114+X115+X116+X117+X118+X119+X120+X121+X122+X123+X12...

...quot;,"X37","X38","X39","X40","X41","X42","X43","X44","X45","X46","X47","X48","X49","X50","X51","X52","X53","X54","X55","X56","X57","X58","X59","X60","X61","X62","X63","X64","X65","X66","X67","X68","X69","X70","X71","X72","X73",&quot...

...x37","x38","x39","x40", "x41","x42","x43","x44","x45","x46","x47","x48","x49","x50", "x51","x52","x53","x54","x55","x56","x57","x58","x59","x60", "x61","x62","x63","x64","x65","x66","x67","x68","x69","x70", "x71","x72","x73...

...ot;, "X38", "X39", "X40", "X41", "X42", "X43", "X44", "X45", "X46", "X47", "X48", "X49", "X50", "X51", "X52", "X53", "X54", "X55", "X56", "X57", "X58", "X59", "X60", "X61", "X62", "X63", "X64", "X65", "X66", "X67", "X68", "X69", "X70", "X71", "X72", &qu...

...quot;,"X37","X38","X39","X40","X41","X42","X43","X44","X45","X46","X47","X48","X49","X50","X51","X52","X53","X54","X55","X56","X57","X58","X59","X60","X61","X62","X63","X64","X65","X66","X67","X68","X69","X70","X71","X72","X73",&quot...

utils/mkdiskimage.in: With option -s: Avoid zeroizing the partition even if truncate() failed. --- utils/mkdiskimage_patched_01.in 2014-01-30 20:43:02.000000000 +0100 +++ utils/mkdiskimage.in 2014-01-30 20:45:09.000000000 +0100 @@ -217,8 +217,11 @@ print OUTPUT "\x55\xaa"; $totalsize = $c*$h*$s; $tracks = $c*$h; -# If -s is given, try to simply use truncate... -unless ($opt{'s'} && truncate(OUTPUT, $totalsize * 512)) { +# If -s is given, simply use truncate. Do not care for success. Failure is +# normal with Linux block devices. +if...

Hello there, I''m having lots of problems with my setup here. Let me explain: I am network administrator for my university dorm. We are about 300 users, and we have 2 ADSL connections doing load balancing with 300kbits upstream and 2Mbit downstream. The load balancing is working great, we are doing connection tracking so I can mark and hence prioritize interactive traffic and ACKS

...X65 "CT" "AG" "CT" X77 "CC" "AA" "CT" X25 "TT" "AG" "TT" X26 "CT" "GG" "CC" X53 "CT" "GG" "CC" X55 "CT" "AG" "CC" X57 "CT" "AG" "TT" X71 "CT" "AA" "CT" X4 "TT" "AA" "CT" X7 "CT" "AG" "CT" X21...

...type = "right") ~ ridge(X1, X2, X3, X4, X5, X6, X7, X8, X9, X10, X11, X12, X13, X14, X15, X16, X17, X18, X19, X20, X21, X22, X23, X24, X25, X26, X27, X28, X29, X30, X31, X32, X33, X34, X35, X36, X37, X38, X39, X40, X41, X42, X43, X44, X45, X46, X47, X48, X49, X50, X51, X52, X53, X54, X55, X56, X57, X58, X59, X60, X61, X62, X63, X64, X65, X66, X67, X68, X69, X70, X71, X72, X73, X74, X75, X76, X77, X78, X79, X80, X81, X82, X83, X84, X85, X86, X87, X88, X89, X90, X91, X92, X93, X94, X95, X96, X97, X98, X99, X100, theta = lambda, scale = FALSE) and get the error message Error in m...

Hi, I was wondering how it was possible to access the actual cluster exemplars from the APResult class. Currently it only spits it out onto the terminal if you type the object but there is no other way to see which one is the examplar. Would appreciate any help. Thanks, Sachin [[alternative HTML version deleted]]

If you want a character representation of a long formula (or a formula with long names), you can use: as.character(my.formula) However restriction on length of an as.character result returns only the beginning of a long formula, and without comment. In most cases, the following expression provides the complete result: paste(my.formula[[2]], " ~ ",

...quot;,"X37","X38","X39","X40","X41","X42","X43","X44","X45","X46","X47","X48","X49","X50","X51","X52","X53","X54","X55","X56","X57","X58","X59","X60","X61","X62","X63","X64","X65","X66","X67","X68","X69","X70","X71","X72","X73",&quot...

This is a covariance calculation question so nothing to do with R but maybe someone could help me anyway. Suppose, I have two random variables X and Y whose means are both known to be zero and I want to get an estimate of their covariance. I have n sample pairs (X1,Y1) (X2,Y2) . . . . . (Xn,Yn) , so that the covariance estimate is clearly 1/n *(sum from i = 1 to n of ( X_i*Y_i) ) But,