similar to: delete lines

Hi i need to delete a message that a send to r -help ?? Can you please tell me how? Thank you [[alternative HTML version deleted]]

Hi, i export data from an csv file like this :  Data <- read.csv2("c:/Art.csv",sep=",") # import data into R > Data <- Data [1:5,1:5]# extracting the first 5 rows and columns > Data   Policy.Number AXA.Entity Country LoB ccy.data 1         6e+13        BNL     BNL   P      EUR 2         6e+13        USA     BNL   P      EUR 3         6e+13         UK     BNL  

Thank you Gabor Grothendieck for your answer !! i have charge the pachage but now i have this massage  read.table("c:/TOTAL.xls",h=T) [1] ÐÏ.à.. <0 rows> (or 0-length row.names) Warning messages: 1: In read.table("c:/TOTAL.xls", h = T) :   incomplete final line found by readTableHeader on 'c:/TOTAL.xls' 2: In if (!header) rlabp <- FALSE :   the condition has

i  want to print in the console and to have an excel file like this no_GWP                NbOfPolicyClass1[0-1000]     NbOfPolicyClass2[1000-3000]        NbOfPolicyClass3[> 3000] No_GWPMax=8    NbpolicyClass1=5                   NbpolicyClass2=4                            NbpolicyClass3 =3              i have do it like this:!!! data1 <-

Good moorning, yesterday, i asked for how we can import data into R i found that it is necessary to make the file in csv format then use L<- read.csv2("path of file") now i see that the dimension of my table importing into R is 1 colonne (i have realy 20) and (655555) the number of all my lines in the excel file (i want to have only the 2600 lines in my table) Also, when i say to do

Good morning, I want to make a linear regression of a variable fuction of  two variables y = a1 x1 + a2 x2 + c I found the function lm (y ~ x)  but it used  for a simple linear regression, but for  multiple regression i do not know which function do this!!  Can you help me please!!  Thank you in advance [[alternative HTML version deleted]]

----- Message transféré ---- De : Inchallah Yarab <inchallahyarab@yahoo.fr> À : r-help@r-project.org Envoyé le : Mardi, 18 Août 2009, 16h26mn 20s Objet : create a table in the console!! HI I want to do a table with R (in the console) GWP_Max NumberOfPolicies No_GWPMax 8 [0-1000] 4 [1000-3000] 3 [> 3000] 5 i begin by calculate the number of policies in each class :  Data1 <-

  Hi, i export data from an csv file like this :  Data <- read.csv2("c:/Art.csv",sep=",") # import data into R > Data <- Data [1:5,1:5]# extracting the first 5 rows and columns > Data   Policy.Number AXA.Entity Country LoB ccy.data 1         6e+13        BNL     BNL   P      EUR 2         6e+13        USA     BNL   P      EUR 3         6e+13         UK     BNL  

Hi I want to import Excel data into R I have used this code data<-read.table("C:\Total_Art_Policies.xls",header=TRUE,sep=";") i have an error msg: Erreur dans file(file, "r") : impossible d'ouvrir la connexion De plus : Warning message: In file(file, "r") : impossible d'ouvrir le fichier 'C:\Total_Art_Policies.xls' : No such file or

Error in Math.factor(c(2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,  :   log not meaningful for factors In addition:Warning messages: 1: In Ops.factor(LRUpBound, LRLowBound) : * not meaningful for factors 2: In Ops.factor(TransitCoefStdDev, TransitCoefMean) :   / not meaningful for factors [[alternative HTML version deleted]]

Hi, how can i use operation + , - , / with veriable format DATES? for example i have two variable a <- 18/08/2008 and b <- 18/09/2010 and i want to calculate a-b ?? thank you? [[alternative HTML version deleted]]

HI I want to do a table with R (in the console) GWP_Max NumberOfPolicies No_GWPMax 8 [0-1000] 4 [1000-3000] 3 [> 3000] 5 i begin by calculate the number of policies in each class :  Data1 <- read.csv2("c:/Total1.csv", sep=",") > Data2 <- read.csv2("c:/GWPMax1.csv",sep=",")[1:20,1:2] > M <- merge(Data1,Data2, by.x =

hi, i want to use the function table to build a table not of frequence (number of time the vareable is repeated in a list or a data frame!!) but in function of classes I don t find a clear explnation in  examples of  ?table !!! example x      y        z 1    0       100 5    1       1500 6    1       1200 2    2       500 1    1       3500 5     2     2000 8     5     4500 i want to do a

Hi, I need your help :: what i the meaning of this error message"Missing value where true / false needed??" Thank you [[alternative HTML version deleted]]

This is my code i don't understand the error message: library(rgenoud) rm(list=ls()) set.seed(666) ######################################################### # As a first step, it is assumed that all input parameters are independent of ageing : ######################################################### InputDim <-20 # Max number of ageings in the inputs CPIRate <- rep(0.02 , InputDim ) #

i have written this in R, > data1 <- read.csv2("c:/Total1.csv",sep=",") > data2 <- read.csv2("c:/GWPMax1.csv",sep=",") > M <- merge(data1, data2, by.x = "Policy.Number", by.y = "Policy.Number") > nrow(data1) [1] 20 > nrow(M) [1] 12 > NbOfPolicyWithoutGWPMax <- nrow(data1)-nrow(M) >

I have a column of 1000 datapoints from the normal distribution with mean 2 and variance 4. How can I get a histogram of these observations with 20 bins with each bin having 50 observations? -- Thanks, Jim. [[alternative HTML version deleted]]

I have a dataframe in the general format: chr1 0.5 chr1 0 chr1 0.75 chr2 0 chr2 0 chr3 1 chr3 1 chr3 0.5 chr7 0.75 chr9 1 chr9 1 chr22 0.5 chr22 0.5 where the first column is the chromosome location and the second column is some value. What I'd like to do is have a histogram created for each chr location (i.e. a separate histogram for chr1, chr2, chr3, chr7, chr9, and chr22). I am just

How do I subset data to only keep those rows of a dataframe where a variable's value matches one item of a vector. For example, how do I keep all of the rows (and all variables) where mydata$id equals one of the values in keepid? See below? mydata <- NULL mydata$id <- 1:30 mydata$value <- seq(from=1,to=100, length.out=30) keepid <- c(6,10,12,13,19,25,26,27,28,29) In other

Dear all I'm trying to run a cluster analysis with R Here are the commands: mydata <- na.omit(matrix) # listwise deletion of missing mydata <- scale(matrix) # standardize variables fit <- kmeans(mydata, 8) # 8 cluster solution # get cluster means aggregate(mydata,by=list(fit$cluster),FUN=mean) # append cluster assignment mydata <- data.frame(mydata, fit$cluster)