search for: x52

...(ysmd) 'data.frame': 8325 obs. of 6 variables: $ X.stock : Factor w/ 8325 levels "A","AA","AA-",..: 2702 6547 4118 7664 7587 6350 3341 5640 5107 7589 ... $ market.cap : num -1.00 2.97e+10 3.54e+08 3.46e+08 -1.00 ... $ X52.week.low : num 40.2 22.5 27.5 12.2 20.7 ... $ X52.week.high : num 43.3 38.2 35.1 19.2 32.7 ... $ X3.month.average.daily.volume: num 154 7862250 16330 205784 14697 ... $ X50.day.moving.average.price : num 41.8 36.3 30.5 15.2 29.9 ... > str(top1000) 'data....

...P : ZIOP 402600000 3.03 7.85 707694 6.3717 ZIP : ZIP 794900000 23.53 31.5 677046 23.2508 ZIPR : ZIPR 47100000 2.28 3.5 21865 2.4058 ZIV : ZIV -1 12.2987 17.3862 37455 16.6068 ZIXI : ZIXI 254900000 2.1 4.88 905849 3.5146 ... moreover, > ysmd.table[['FLO']] X.stock market.cap X52.week.low X52.week.high X3.month.average.daily.volume 100 FLO 2.984e+09 15.3133 22.37 1021580 X50.day.moving.average.price 100 21.3769 quite correctly. however, > ysmd.table[ysmd$X.stock[[100]]] <hash> containing 0 key-value...

...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 fisher test > dat1$X13 <- as.factor(dat1$X13) > dat1$X52 <- as.factor(dat1$X52) > dat1$X53 <- as.factor(dat1$X53) > dat1$X64 <- as.factor(dat1$X64) > dat1$X85 <- as.factor(dat1$X85) > dat1$X99 <- as.factor(dat1$X99) > dat1$X111 <- as.factor(dat1$X111) > dat1$X142 <- as.factor(dat1$X142) > dat1$X157 <- as.facto...

...~ 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) it gives me an error "Error in eval(expr, envir, enclos) : object 'x3' not found" which I dont know why I am giv...

Dear R list, I have the following data: set.seed(1) n <- 5 # number of subjects tt <- 3 # number of repeated observation per subject numco <- 2 # number of covariates x <- matrix(round(rnorm(n*numco),2), ncol=numco) # the actual covariates x > x [,1] [,2] [1,] -0.63 -0.82 [2,] 0.18 0.49 [3,] -0.84 0.74 [4,] 1.60 0.58 [5,] 0.33 -0.31 I need to form a matrix

...cannot be activated, this is the important part of the trace after my opinion: > trace:dinput:IDirectInputAImpl_EnumDevices - checking device 3 ('Wine Linux joystick driver') > trace:dinput:joydev_enum_deviceA Enumerating the linux Joystick device: /dev/input/js1 (Saitek Saitek X52 Flight Control System) > trace:dinput:joydev_create_deviceA 0x35ce3f8 {9e573ed9-7734-0001-8d4a-23903fb6bdf7} (nil) 0x32f0f8 > trace:dinput:JoystickAImpl_GetCapabilities 0x35ce4d0->(0x32f114) > trace:dinput:JoystickAImpl_GetDeviceInfo (0x35ce4d0,0x32f37c) > trace:dinput:JoystickAImpl_...

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

...(blumenau[2:50]))) 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)...

...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"...

..."X35" "X36" "X37" "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"...

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,

...he following 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+X...

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

...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"...

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

...quot;,"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",&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

Hi, after migrating to a new hardware (which is soo soooo mutch faster than the old one) I start to think about migrating from mbox to maildir. I'v read some docs and wikies and some questions are unanswered or maybe I skip the answers: - Is it possible to migrate the mboxes "silent" e.g. if a user logs in the mbox is converted? - regarding the Namespaces wiki article, it is

...event = fustat, 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 mes...

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]]