similar to: read table for Fisher Exact

https://bugzilla.netfilter.org/show_bug.cgi?id=820 Summary: Quotas not limiting the exact specified limit Product: netfilter/iptables Version: linux-2.6.x Platform: x86_64 OS/Version: Debian GNU/Linux Status: NEW Severity: critical Priority: P5 Component: unknown AssignedTo: netfilter-buglog at

Dear all, Please, I have a doubt regarding symbol plotting with data originating from a table. Please, see below: I have a tab delimited file called table1.txt with 4 columns: ypos animal var1 var2 5 cat gina <= lady gina \u2264 lady 7 dog bill >= tony bill \u2265 tony 9 fish dude <= bro dude \u2264 bro #I then load in the data to R: table1<-read.table("table1.txt",

hi, this may be trivial, but we can't seem to find anything adequate, (although there is a work around with match() ). We are looking for something along the lines of plot(table1[table1$var2==or("a","b","c","d"),"var1"]) would be handy, with the potential or() function leading to what plot(table1[table1$var2=="a" |

Windows 7, R 2.12.1 Colleagues, I am trying to understand the n.for.2means function. The code below is a copy of the function (renamed to n.for.2means.js). I have inserted a single line of code towards the bottom of the function which uses the cat function to print the value of n1. You will note the value (preceded by stars) is printed as 1. The function (1) prints a lot of output without any

I was hoping someone would be able to help me with creating a method. I have two tables. What I am trying to do is create a list of all the id''s from table2 that aren''t currently referenced by Table1''s address_id column. That way, when I create a new customer I can have a drop down list in the view of all the addresses that are not currently being used. ##### Database

Hi, I have following 2 tables: Table 1: POSTAL | VALUE 1000|49 1010|100 1020|50 Table 2: INSEE | POSTAL A|1000 B|1000 C|1010 D|1020 I would like to convert this to the following: INSEE | VALUE_SPREAD A|24.5 B|24.5 C|100 D|50 I can achieve this with a nested SQL query (through counting the number of POSTAL that belong to any given INSEE, and diving the value of the postal in that INSEE by

Please, I wonder if someone knows how to add the less than or equal to symbol in the plot generated by the code below: var1<-c('age <= 3','age <= 7','age <= 10','age <= 11','age <= 20','age <= 25','age <= 30','age <= 45','age <= 50','age < 55','age >= 55')

https://bugzilla.netfilter.org/show_bug.cgi?id=1382 Bug ID: 1382 Summary: nftables.py cmd leaking memory when ruleset contain mapping ip length to range with high limit 65535 Product: nftables Version: unspecified Hardware: x86_64 OS: Gentoo Status: NEW Severity: major

Hi I've a problem with the following example: library(tcltk) .Tcl("array unset tclArray") myRarray <- matrix(1:1000, ncol=20) for (i in (0:49)) for (j in (0:19)) .Tcl(paste("set tclArray(",i,",",j,") ",myRarray[i+1,j+1],sep="")) tt<-tktoplevel() table1 <- tkwidget(tt,"table",variable="tclArray",

Hello, right now, i have a program to collect data into a table. right now, my table is table1 <- data.frame(trial = NA, x = NA, y = NA) for each time when i want to add data into my data, i have to copy data of table into an array for each column, and then i add new data into my array, then i copy my array into the table one column by one column. For example temptrial <- table1$trial;

Hi, May be this helps: dat1<- as.data.frame(table1) ?dat2<- as.data.frame(table2) names(dat2)<-c("V3","V4") library(plyr) res<-join(dat1,dat2,type="full") ?res[is.na(res)]<- 0 ?res #? V1 V2 V3 V4 #1? 1? 1? 0? 0 #2? 1? 2? 0? 0 #3? 0? 0? 0? 1 #4? 0? 0? 0? 4 ?combinedtable<-as.matrix(res) ?colnames(combinedtable)<- NULL ?combinedtable #???? [,1] [,2]

Thomas Sudler <TSudler at ch.imshealth.com> wrote: > I want to start an action when i click into a cell. Example: When I click > into a cell, a message box should open with the information of the > location of the cell where I clicked in. <SNIP> So I only > need to know how to get the possition of the active cell. Thomas, Getting the active cell is easy, just use :

Hi. I am trying to get data from mysql database using a couple of queries. I do one query to find out the indexes. Then i need to use these indexes in another query, but i keep getting errors. Here is something: numb <- dbSendQuery(con2, "select distinct(comparison) from table1") count <- fetch(numb, -1) my.matrix <- as.matrix(count) rs <- dbSendQuery(con2, "select

R HELP, I am trying to use an R script to connect to a mysql database. I am having a problem using a variable in the where clause that contains a "space" in its value. If I include the variable inside the quotes of the query - i think it is searching for the name of the variable in the database and not the value of the variable. If I put it outside the quotes, then it complains

On Wed, 30 Jul 2003 TSudler at ch.imshealth.com wrote: <SNIP> table1 <- tkwidget(tt,"table",variable="tclArray", rows=as.character(dim(datifram)[1]+1), cols=as.character(dim(datifram)[2]),titlerows="1", titlecols="3",selectmode="extended",height="27",

Este listado de antibióticos lo tengo en una tabla csv CON DETERMINADAS MEDICIONES CUANTITATIVAS POR AñOS Ampicillin Oxacillin Peniclina Ciprofloxacina Amikacina Gentamicina Kanamicina Ceftriaxone Ceftazidima Cefotaxima Cefazolina Cefuroxima Aztreonam Cloranfenicol Vancomicina Eritromicina Clindamicina Fosfomicina Amoxicilina Imipenem Azitromicina

Hi Everyone, I have a 2-dim data.matrix(e.g., table1) in which row1 specifies a range of values. row2 - rown specify the number of times I want to replicate each corresponding value in row1. I can do this with the following function: rep(c(table1[1,]),c(table1[X,])) #where X would go from 2 - n. Now, I can do this manually by changing the values of X and save each resulting array/vector in

Hi list, Could you explain the error I see here? Thanks! ## I'm using R 2.8.0 on WinXP, Hmisc_3.4-3 > table1 <- matrix(10, 180,7) > cell.format <- matrix("", ncol=7, nrow=180) > cell.format[c(seq(3,180,6),seq(4,180,6)),] <- "color{red}" > cell.format[c(seq(5,180,6),seq(6,180,6)),] <- "color{green}" > > latex(table1,

I would like to create a model that is based on two database tables: Table1 --------- id (PK) data1 Table2 ---------- id (PK) data2 There is a one-to-one relationship between the records of Table1 and Table2. (That is, for every record in Table1 there is a record with matching id in Table2 and vice versa). The problem is that I cannot alter the table schemas in any way, so I cannot add

here is the data: y<-c(5,2,3,7,9,0,1,4,5) id<-c(1,1,6,6,7,8,15,15,19) t<-c(50,56,50,56,50,50,50,60,50) table1<-data.frame(y,id,t)//longitudinal data what I want to do is to use the linear model for each id ,then get the estimate value,like: fit1<-lm(y~t,data=table1,subset=(id==1)) but ,you can see the variable "id" is quite irregular,they are not arranaged in order