similar to: data frame

Dear list, I'll try to be more clear in explaining my problem. I have a data frame like this called X: CLUSTER YEAR variable value1 value2 M1 2005 EC01 NA NA M1 2006 EC01 2 5 M1 2007

Dear list, I have the following problem. I have a data frame like this CLUSTER YEAR variable Delta R_pivot M1 2005 EC01 NA NA M1 2006 EC01 2 NA M1 2007 EC01 4 5 M2 2005

Dear list, I have the following problem, what i'm trying to do is to built a function which does the following calculationg in a recursive way: I have a data frame more or less like this: variable year DELTA EC01 2006 / EC01 2007 10 EC01 2008 5 EC01 2009 9 And then I have at time

Dear list, I have a problem with the cumsum function. I have a data frame like the following one variable Year value EC01 2005 5 EC01 2006 10 AAO1 2005 2 AAO1 2006 4 what I would like to obtain is variable Year value cumsum EC01 2005 5 5 EC01

Dear list, I have a question about the interaction between R code and Latex language trough the Sweave function in the package "utils". What I'm trying to do is to write a report. Contrary to the examples shown in the Sweave Manual in which table already constructed by R are "exported" on Latex files, what I would like to do is to build a table in which I combine text and

Dear list, I'm trying to implement the following function, but what I get is an error message and I don't understand where is the error: #outliers'identification: iqr=lapply(bb,function(){ inner_fencesl=quantile(x,0.25)-1.5*IQR(x) inner_fencesh=quantile(x,0.75)+1.5*IQR(x) outer_fencesl=quantile(x,0.25)-3*IQR(x) outer_fencesh=quantile(x,0.75)+3*IQR(x)}) where bb is a dataframe

Hi all, I'm trying to load a csv file in which all the variables must be of type number.The object is a dataframe.When i load the file what i get is a dataframe in wich the variables are of type factor.How can I get variables of type number??? Thanks all

Hi I have a question, as im not able to import a csv file which contains a big dataset(100.000 records) someone knows how many records R can handle without giving problems? What im facing when i try to import the file is that R generates more than 100.000 records and is very slow... thanks a lot!!!

Dear list, I'm looking for an inverse function of melt(which is in package reshape).Namely, I had a data frame like this (Table1) YEAR VAR1 VAR2 VAR3 1995 7 3 45 1996 5 6 32 1997 6 10 15 I transformed my data by using the melt function and my data was reshaped in the following format: (Table2) YEAR variable

Dear list, Im trying to do the following operation but im not able to do it This is my table: 1 2 3 1 0 7 4 2 0 2 0 3 0 1 3 4 0 3 4 what i would like to do is divide each row values with the corresponding column' sum,namely: 1 2 3 1 0 0.54 0.36 2 0 0.15 0 3 0 0.08

Dear List I would like to ask you something concenting a better print of the R output: I have a bit data frame which has the following structure: CFISCALE RAGSOCB ANNO VAR1 VAR2......... 9853312 astra 2005 6 45 9853312 astra 2006 78 45

Dear list, I'm trying to concatenate the values of two columns but im not able to do it: i have a dataframe with the following two columns: X VAR1 VAR2 1 2 2 1 3 2 4 3 5 4 6 4 what i would like to

Hi, I need to generate the time series of the production, but as I'm new to this topic I am not able to do that. This is what the time series should be: PROD(t)=PROD(t,T) PROD(t-1)=PROD(t-1,T) PROD(t-2)=PROD(t-1)*PROD(t-2,T-1)/PROD(t-1,T-1) PROD(t-3)=PROD(t-2)*PROD(t-3,T-2)/PROD(t-2,T-2) ... ... ... from PROD(t-2)...it will get the same expression; where PROD(t,T) is the value of the

Dear list, in the following loop im generating objects of type table. What I would like to do is to put all those objects together in a list (that i called cc).I did this but the result is not what i espect to get: cc=list() d=1 for (i in data) { cc=list(cc,assign(paste("n",d,sep=""),table(i,subsample$vD31NADD))) d=d+1} I know that this won't work properly:

Dear R list I have a problem with NA, which should be a string, but R seems that it doesn't recognize it. What I do is first give the format command to my data frame: format.data.frame(mydata,big.mark=" ") so I give a blank as thousand separator. All my records in my data frame become strings, so instead of having NA I have "NA". I try to convert "NA" in

Dear list, I have a question. I have the RKward configuration. I don't know what happened but now when I open R I have in my workspace data frames with which I used in the past sessions.How can I set RKward in order to open a new workspace? Thanks a lot [[alternative HTML version deleted]]

I have cobbled together the following logic. It works but is very slow. I'm sure that there must be a better r-specific way to implement this kind of thing, but have been unable to find/understand one. Any help would be appreciated. hh.sub <- households[c("HOUSEID","HHFAMINC")] for (indx in 1:length(hh.sub$HOUSEID)) { if ((hh.sub$HHFAMINC[indx] == '01')

Hi Elisa, I hope this is what you wanted. dat1<-read.csv("peaks.csv",sep=",") #Subset dat2<-dat1[1:5,] res1<-do.call(cbind,lapply(seq_len(nrow(dat2)),function(i) do.call(rbind,lapply(split(rbind(dat2[i,],dat2[-i,]),1:nrow(rbind(dat2[i,],dat2[-i,]))), function(x) {x1<-rbind(dat2[i,],x);

I am working on a simulation where I need to count the number of matches for an arbitrary pattern in a large sequence of binomial factors. My current code is for(indx in 1:(length(bin.05)-3)) if ((bin.05[indx] == test.pattern[1]) && (bin.05[indx+1] == test.pattern[2]) && (bin.05[indx+2] == test.pattern[3])) return.values$count.match.pattern[1] =

Hi all, I have a question about global and local variables.First of all, a variable defined in a for loop is it a local or global variable?? Second, I'm trying to build a loop in the following way: I have these 3 data frames bilanci_2005<-bilanci1[ANNO==2005,] bilanci_2006<-bilanci1[ANNO==2006,] bilanci_2007 <--bilanci1[ANNO==2007,] LOOP: v=list(2005,2006,2007) for (a in v){