search for: x49

am at my wit's end. I am not sure what is wrong with this data matrix. It is sparse because it is a matrix of species, but I have looked at the row totals and column totals and they are positive. rmetaMDS(x.d) Error in if (autotransform && xam > 50) { : missing value where TRUE/FALSE needed What is wrong? And in the future how in God's name do I easily diagnose whatever

...a,? glmfit = glm(y ~ 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...

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

...rame(cbind(t(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(Gu...

...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...

..."X32" "X33" "X34" "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"...

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,

...ing to fit the 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...

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

..."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...

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

...quot;,"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",&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

...X6 "CT" "AA" "CT" X10 "CC" "AA" "CC" X14 "TT" "AA" "TT" X39 "TT" "GG" "CT" X44 "CT" "AG" "CT" X49 "TT" "AG" "TT" X51 "TT" "AA" "CT" X67 "CT" "AA" "CC" X12 "CT" "AG" "CT" X54 "CT" "AG" "CC" X61...

...(time = futime, 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 ge...

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]], " ~ ",

...88 <-> M_20288', 'x45', 'NA', 'M_20330 <-> M_20330', 'x46', 'NA', 'M_21183 <-> M_21183', 'x47', 'NA', 'M_21183_P <-> M_21183_P', 'x48', 'NA', 'M_21185 <-> M_21185', 'x49', 'NA'), ncol=3, byrow=TRUE) model.pw rownames(R.pw) <- colnames(R.pw) <- c( 'M_20044', 'M_20044_P', 'M_20045_P', 'M_20048_36', 'M_20048_P', 'M_20113', 'M_20209_26_5569', 'M_20215', 'M_20225', 'M_20230'...

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

Hello, I have a couple of questions with regards to fitting a coxph model to a data set in R: I have a very large dataset and wanted to get the baseline hazard using the basehaz() function in the package : 'survival'. If I use all the covariates then the output from basehaz(fit), where fit is a model fit using coxph(), gives 507 unique values for the time and the corresponding cumulative