search for: x111

Hello, I am a very new user of R. I've spent several hours trying to import data, so I feel okay asking the list for help. I had an Excel file, then I turned it into a "csv" file, as instructed by directions. My filename is "x111.csv." I then used the following commands to read this (fairly small) dataset in. x111 <-read.table(file='x111.csv', sep="",header=T, quote="",comment.char="",as.is=T) I then get the following error message. Error in file(file, "r") : una...

Dear All, I would be grateful if you can help me. My problem is the following: I have a data set like: ID time X1 X2 1 1 x111 x211 1 2 x112 x212 2 1 x121 x221 2 2 x122 x222 2 3 x123 x223 where X1 and X2 are 2 covariates and "time" is the time of observation and ID indicates the cluster. I want to merge the above data by creating a new v...

...'x33', 'x1','x4', 'x5', 'x35', > 'x1','x2', 'x4') > col2 <- c('x12', 'x4', 'x6', 'x771','x4', 'x2') > col3 <- c('x7', 'x2', 'x4', 'x5','x111', 'x1','x4', 'x5', > 'x35','x2','x2', 'x4','x6', 'x5') > > df1<-data.frame(col1) > df2<-data.frame(col2) > df3<-data.frame(col3) > > transforma <- function(df) sapply(df, function(x) >  ...

...col2 [1,] "x12" [2,] "prueba2" [3,] "prueba2" [4,] "x771" [5,] "prueba2" [6,] "prueba1" > transforma(df3)       col3  [1,] "x7"  [2,] "prueba1"  [3,] "prueba2"  [4,] "prueba2"  [5,] "x111"  [6,] "prueba1"  [7,] "prueba2"  [8,] "prueba2"  [9,] "x35" [10,] "prueba1" [11,] "prueba1" [12,] "prueba2" [13,] "prueba2" [14,] "prueba2" Saludos, Marcelino El 10/09/2020 a las 9:41, Carlos Orte...

..."x5"| col1 == "x6", "prueba2", col1)) detach(df1) df1 pero ahora en vez de un df tengo varios col2 <- c('x12', 'x4', 'x6', 'x771','x4', 'x2') col3 <- c('x7', 'x2', 'x4', 'x5','x111', 'x1','x4', 'x5', 'x35','x2','x2', 'x4','x6', 'x5') df2<-data.frame(col2) df3<-data.frame(col3) ?c?mo puedo aplicar el c?digo al resto de los df sin tener que repetirlo? [[alternative HTML version deleted]]

...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$X157 <- as.factor(dat1$X157) > dat1$X158 <- as.factor(dat1$X158) > dat1$X162 <- as.factor(dat1$X162) > dat1$X169 <- as.factor(dat1$X169) > dat1$X200 <- as.factor(dat1$X200) > dat1$X202 <-...

...really handy. What you need to do is convert the data frame to a single (numeric) vector for, e.g. a matrix() call. This can be easily done by noting that a data frame is also a list and using do.call(): ## imp is the data frame: do.call(c,imp) X11 X12 X13 X14 X15 X16 X17 X18 X19 X110 X111 X112 X113 X114 1 2 1 2 1 2 1 2 1 2 1 2 1 2 X115 X116 X21 X22 X23 X24 X25 X26 X27 X28 X29 X210 X211 X212 1 2 0 1 0 1 1 1 0 1 0 1 0 1 X213 X214 X215 X216 Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 1...

...ginator: Y , call-Id: "u.l6kcou25cax60 at mydomain.com" , local_uri: "< > sip:222 at mydomain.com;user=phone>" , local_tag: > "1734d973-c4da-4ae8-a37d-5f7065f1fe54" , local_addr: "172.31.253.4:5060" > , remote_uri: "\\\"TestPhone x111\\\" <sip:111 at mydomain.com>" , > remote_tag: "yinue4v5ufa4" , remote_addr: "172.31.253.20:5060" > > > > > > Channel B: "1688509741.113" , name: "PJSIP/222-00000065" , is > originator: N , call-Id: "1f10454...

..." , local_uri: "<sip:222 at mydomain.com <mailto:sip%3A222 at mydomain.com> ;user=phone>" , local_tag: "1734d973-c4da-4ae8-a37d-5f7065f1fe54" , local_addr: "172.31.253.4:5060 <http://172.31.253.4:5060> " , remote_uri: "\\\"TestPhone x111\\\" <sip:111 at mydomain.com <mailto:sip%3A111 at mydomain.com> >" , remote_tag: "yinue4v5ufa4" , remote_addr: "172.31.253.20:5060 <http://172.31.253.20:5060> " Channel B: "1688509741.113" , name: "PJSIP/222-00000065" ,...

Hello everyone, I want to transform a data.frame into an array (lets call it mydata), where: mydata[[1]] is the first imputed dataset...and for each mydata[[d]], the first p columns are covariates X, and the last one is the outcome Y. Lets assume a simple data.frame: Imputed = data.frame( X1 = c(1,2,1,2,1,2,1,2, 1,2,1,2,1,2,1,2), X2 =

..." , is originator: Y , call-Id: "u.l6kcou25cax60 at mydomain.com" , local_uri: "<sip:222 at mydomain.com;user=phone>" , local_tag: "1734d973-c4da-4ae8-a37d-5f7065f1fe54" , local_addr: "172.31.253.4:5060" , remote_uri: "\\\"TestPhone x111\\\" <sip:111 at mydomain.com>" , remote_tag: "yinue4v5ufa4" , remote_addr: "172.31.253.20:5060" Channel B: "1688509741.113" , name: "PJSIP/222-00000065" , is originator: N , call-Id: "1f104544-fc1a-4414-ba74-68c526e294de&quo...

...really handy. What you need to do is convert the data frame to a single (numeric) vector for, e.g. a matrix() call. This can be easily done by noting that a data frame is also a list and using do.call(): ## imp is the data frame: do.call(c,imp) X11 X12 X13 X14 X15 X16 X17 X18 X19 X110 X111 X112 X113 X114 1 2 1 2 1 2 1 2 1 2 1 2 1 2 X115 X116 X21 X22 X23 X24 X25 X26 X27 X28 X29 X210 X211 X212 1 2 0 1 0 1 1 1 0 1 0 1 0 1 X213 X214 X215 X216 Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 1...

...+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, data = proteo) but I get this error message: Error in model.matrix.default(mt,...

...quot;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&quot...

...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"), NULL)) [[alternative HTML version deleted]]

...of columns that a data.frame can have? For example, can I read.csv() a file that has 1000 columns and 10,000 rows, will it break or is it limited by available memory. ................................................................................... Philip Sobolik 781-862-8719 x111 Wrightsoft Corporation 781-861-2058 fax 394 Lowell Street, Suite 12 epsobolik at wrightsoft.com Lexington, MA 02420 www.wrightsoft.com

I'm trying to buy the cisco firmware update but it seems that i cannot order online because I bought my 7970 on ebay. Is there any other chance to get this update? ... anyone can make me a favour and send it to me by email? thank you

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]]

..." , local_uri: "<sip:222 at mydomain.com <mailto:sip%3A222 at mydomain.com> ;user=phone>" , local_tag: "1734d973-c4da-4ae8-a37d-5f7065f1fe54" , local_addr: "172.31.253.4:5060 <http://172.31.253.4:5060> " , remote_uri: "\\\"TestPhone x111\\\" <sip:111 at mydomain.com <mailto:sip%3A111 at mydomain.com> >" , remote_tag: "yinue4v5ufa4" , remote_addr: "172.31.253.20:5060 <http://172.31.253.20:5060> " Channel B: "1688509741.113" , name: "PJSIP/222-00000065" ,...

The following AMI command works well for all of the information I want: action: Getvar actionid: act1 channel: PJSIP/Twilio-NA-W-3-In-00000028 Variable: CHANNEL(pjsip,XXXX) Where XXXX can be one of the many available items. However, when I create a call from A to B, all of the items return properly except: local_addr and remote_addr. More specifically, they return correctly for the A leg (that