search for: x94

I have a matrix y: > dimnames(y) $x93 [1] "1" "2" $x94 [1] "0" "1" "2" .................. so on (there are other dimensions as well) I need to access a particular dimension, but a random mechanism tells me which dimension it would. So, sometimes I might need to access dimnames(y)$x93, some other time it would be dimnam...

...Any suggestions? Code below ... Thanks, Suzanne --------------------------------------- dat <- read.delim(file="trees_R2.csv", sep=",", header=1) P16 <- (dat$Plot == "P1") | (dat$Plot == "P2") | (dat$Plot == "P3") y94 <- dat$Easting[P16] x94 <- dat$Northing[P16] library(spatstat) F194 <- ppp(x94, y94, c(0, 100), c(0, 50)) a <- allstats(F194, dataname="Field 1 - 1994") plot(a)

...filesize = 512 libguestfs: trace: truncate "/var/lib/systemd/random-seed" libguestfs: trace: truncate = 0 libguestfs: trace: write_append "/var/lib/systemd/random-seed" "\x9e\x92\xa5\xae\xa3\x13\xb3Qt'\x1fn\x00\xd9\xf6\xcd\x1cYP\x14U\x1b\xfbc\xdd\xa2\x95\xd1\xdf\x0d\x94\xf7\xb8\xba$\x18z \xe2,\xd3\xd0u\xb9F\xd9\x87G\x8c\x16S\x90q\xf12(a\x89\xb1\xab\x8b\xd4\xd4M\xc4\xc6\xb0\x186\xe2A\x09\x99\xd1\xb8;\xee\x9b\xef\xee\x01co$\xfe\xf0I\xd5\x1a\xac{C&:y\xc8\xf2\xf5H\xe116\x97$\x02\xc9\xc0u\xcf7\x094\xb0SM\x8d\x0f\x0b\xc8\xf1\x1e\xae\xe0`\xbe\x87\x97\xc6\xf1\x07E\x99...

...> libguestfs: trace: truncate "/var/lib/systemd/random-seed" > libguestfs: trace: truncate = 0 > libguestfs: trace: write_append "/var/lib/systemd/random-seed" "\x9e\x92\xa5\xae\xa3\x13\xb3Qt'\x1fn\x00\xd9\xf6\xcd\x1cYP\x14U\x1b\xfbc\xdd\xa2\x95\xd1\xdf\x0d\x94\xf7\xb8\xba$\x18z \xe2,\xd3\xd0u\xb9F\xd9\x87G\x8c\x16S\x90q\xf12(a\x89\xb1\xab\x8b\xd4\xd4M\xc4\xc6\xb0\x186\xe2A\x09\x99\xd1\xb8;\xee\x9b\xef\xee\x01co$\xfe\xf0I\xd5\x1a\xac{C&:y\xc8\xf2\xf5H\xe116\x97$\x02\xc9\xc0u\xcf7\x094\xb0SM\x8d\x0f\x0b\xc8\xf1\x1e\xae\xe0`\xbe\x87\x97\xc6\xf1\x07E\x99...

...libguestfs: trace: truncate "/var/lib/systemd/random-seed" >> libguestfs: trace: truncate = 0 >> libguestfs: trace: write_append "/var/lib/systemd/random-seed" "\x9e\x92\xa5\xae\xa3\x13\xb3Qt'\x1fn\x00\xd9\xf6\xcd\x1cYP\x14U\x1b\xfbc\xdd\xa2\x95\xd1\xdf\x0d\x94\xf7\xb8\xba$\x18z \xe2,\xd3\xd0u\xb9F\xd9\x87G\x8c\x16S\x90q\xf12(a\x89\xb1\xab\x8b\xd4\xd4M\xc4\xc6\xb0\x186\xe2A\x09\x99\xd1\xb8;\xee\x9b\xef\xee\x01co$\xfe\xf0I\xd5\x1a\xac{C&:y\xc8\xf2\xf5H\xe116\x97$\x02\xc9\xc0u\xcf7\x094\xb0SM\x8d\x0f\x0b\xc8\xf1\x1e\xae\xe0`\xbe\x87\x97\xc6\xf1\x07E\x99...

...quot;,"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" >> "1",0.995067856274545,0.0237177284434438,0.839840568602085,0.99880409357138,0.455015312181786,0.967688028467819,0.191194181796163,0.903533136472106,0.570170691236854,0.862301189...

...> [4] "\026\027\030\031\032%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz\x83\x84\x85\x86\x87\x88\x89\x8a\x92\x93\x94\x95\x96\x97\x98\x99\x9a\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xb2\xb3\xb4\xb5\xb6\xb7\xb8\xb9\xba\xc2\xc3\xc4\xc5\xc6\xc7\xc8\xc9\xca\xd2\xd3\xd4\xd5\xd6\xd7\xd8\xd9\xda\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xff\xc4" > [5] "\v\xff\xc4"...

...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" > "1",0.995067856274545,0.0237177284434438,0.839840568602085,0. > 99880409357138,0.455015312181786,0.967688028467819,0.191194181796163,0. > 903533136472106,0.570170691236854,0.8...

..."X77" "X78" "X79" "X80" [81] "X81" "X82" "X83" "X84" "X85" "X86" "X87" "X88" "X89" "X90" "X91" "X92" "X93" "X94" "X95" "X96" "X97" "X98" "X99" "X100" > names(X)[1] [1] "X1" > for(i in 1:100){names(X)[i] <- "X.i"} > names(X) [1] "X.i" "X.i" "X.i" "X.i" "X.i&quot...

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,

...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+X126+X127+X128+X129+X130+X131+X132+X133+X134+X135+X136+X137+X138+X139+X140+X141+X142+X143+X144+X145+X146+X147+X148+X149+X150+X151+X152 ~ conditions,...

...quot;,"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" "1",0.278388975420967,0.370451691094786,0.717217007186264,0.116161955753341,0.144262576242909,0.937281515449286,0.373484081588686,0.955863541224971,0.826917823404074,0.821003203978762,0....

...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&quo...

...ot;, "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", "X11...

...quot;,"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" "1",0.995067856274545,0.0237177284434438,0.839840568602085,0.99880409357138,0.455015312181786,0.967688028467819,0.191194181796163,0.903533136472106,0.570170691236854,0.86230118968524,0.2...

...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.default(formula = form, data = sdf) : invalid variable names Calls: coxph -> eval -> eval -> model.frame -> model.frame.default Execution halted I am using R 2.8.0 and the...

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]]

...quot;,"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" > "1",0.995067856274545,0.0237177284434438,0.839840568602085,0.99880409357138,0.455015312181786,0.967688028467819,0.191194181796163,0.903533136472106,0.570170691236854,0.8623011896852...

...9;] FAILED ....... Comparing: 'CN=Administrador,CN=Users,DC=empresa,DC=com,DC=br' [ldap://WIN-DC1] 'CN=Administrador,CN=Users,DC=empresa,DC=com,DC=br' [ldap://SAMBA4-DC] Difference in attribute values: userParameters => [' P\x04\x1a\x08\x01CtxCfgPresent\xe3\x94\xb5\xe6\x94\xb1\xe6\x88\xb0\xe3\x81\xa2\x18\x08\x01CtxCfgFlags1\xe3\x80\xb0\xe3\x81\xa5\xe3\x80\xb0\xe3\x80\xb1\x12\x08\x01CtxShadow\xe3\x84\xb0\xe3\x80\xb0\xe3\x80\xb0\xe3\x80\xb0*\x02\x01CtxMinEncryptionLevel\xe3\x80\xb0'] [' \x00 \x00 \x00 \x00 \x00 \x00 \x00 \x00 \x00 \x00 \x00 \x00 \x0...

I''m following the depot application in the rails bible Agile Web Development with Rails. In interation E1 NoMethodError in Admin#checkout Showing app/views/admin/checkout.rhtml where line #12 raised: You have a nil object when you didn''t expect it! You might have expected an instance of Array. The error occured while evaluating nil.include? Extracted source (around line #12):