similar to: Merge dataframes with no shared rows, some shared and som e unshared columns

Hello, I have two dataframes of the following structures: str(a) `data.frame': 1354896 obs. of 14 variables: $ V1 : int 0 1 2 3 4 5 6 7 8 9 ... $ V2 : int 0 0 0 0 0 0 0 0 0 0 ... $ V3 : int 74 12305 103 12337 46 57 12446 90 12097 79 ... $ V4 : num 11.8 1529.2 17.8 1579.4 6.7 ... $ V5 : int 88 11040 104 11557 56 58 11040 74 10991 81 ... $ V6 : num 15.5 1921.3 20.3

https://bugzilla.samba.org/show_bug.cgi?id=3186 Summary: Surprisingly large unshared memory usage Product: rsync Version: 2.6.7 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy:

Me encuentro de vacaciones hasta el proximo 16/02. Por favor contactar a Pablo Minsteras (pablo.minsteras at utopixnetworks.com) o Gustavo Hernandez (gustavo.hernandez at utopixnetworks.com). Muchas Gracias, Gustavo Scheveloff

Hello, I have data in a dataframe with 139104 rows which is multiple of 96x1449. i have a phenotype file which contains the phenotype information for the 96 samples. the snp name is repeated 1449X96 samples. I haveto merge the two dataframes based on sid and sen. this is how my two dataframes look like dat<-data.frame(snpname=rep(letters[1:12],12),sid=rep(1:12,each=12),

Hi everyone, I have a question for R code to merge. Say I have two dataframes: File1 is: V1 V2 V3 V4 1 100 101 name1 2 200 201 name2 2 300 301 name3 3 400 401 name4 3 500 501 name5 4 600 601 name6 4 700 701 name7 File2 is: V1 V2 V3 V4 1 50 55 p1 3 402 449 p2 4 550 650 p3 4 651 660

Hello R-helpers, I have 10 dataframes (named data1, data2, ... data10) and I would like to add 5 new columns to each dataframe using the following code: data1$LogDepth<-log10(data1[,2]/data1[,4]) data1$LogArea<-log10(data1[,3]/data1[,5]) data1$p<-2*data1[,6]/data1[,7] data1$Exp<-data1[,2]^(2/data1[,8]) data1$s<-data1[,3]/data1[,9] ...but I would prefer not to repeat this chunk of

#I want to "merge" or "join" 2 dataframes (df1 & df2) into a 3rd (mydf). I want the 3rd dataframe to contain 1 row for each row in df1 & df2, and all the columns in both df1 & df2. The solution should "work" even if the 2 dataframes are identical, and even if the 2 dataframes do not have the same column names. The rbind.fill function seems to work. For

Hi @ all, I wamnt to combine two dataframes including a condition. I have two dataframes like the following: animal<-c("bear","bear","lion","monkey","fish","monkey","bear","zebra","zebra") val<-c(2,42,67,5,12,9,87,1,12)

Hi, I have two dataframes (Dataframe_A, Dataframe_B) with the same no. of columns. The first column of both the dataframes contains unique names. I wish to have Dataframe_A with the rows that are NOT common to Dataframe_B. With merge (), it is possible to get the common rows or to merge rows, but I am not quite sure how to do it in a simpler way. Any help would be much appreciated. Thank you.

Dear list members, I have to combine dataframes together. However they contain different numbers of variables. It is possible that all the variables in the dataframe with fewer variables are contained in the dataframe with more variables, though it is not always the case. There are key variables identifying observations. These could be used in a merge statement, although this won't

Hello, I have a dataframe with 40 columns and around 450,000 rows. The first column in each row is a factor id and the remaining are numeric. Some rows have the same ids. What I want to do is to merge each set of rows sharing the same ids (id set) into one single row (summarizing row) with that id. To create the summarizing row, I'd like to apply a different function on each of the

Good afternoon, Today I was working on a practice problem. It was simple, and perhaps even realistic. It looked like this: ? Get a list of all the data files in a directory ? Load each file into a dataframe ? Merge them into a single data frame Because all of the columns were the same, the simplest solution in my mind was to `Reduce' the vector of dataframes with a call to `merge'. That

Dear R-helpers, I have a list containing 5000 elements, each element is a dataframe containing one ID column (identical over the 5000 dataframes) and 9 numeric variables, e.g. ID VAR1 VAR2 VAR3 ... VAR9 I would like to create a new dataframe containing the ID column and the mean values of the 9 numeric variables. So, the structure of this new dataframe would be identical to the structure of the

Dear all: I have a list of dataframes like this, i try to merge this lists of dataframes into one single dataframe, and keep ther column names as usual, how can i do this? i try lapply(aa,rbind), but it dose not work. Best regard! > summary(aa) Length Class Mode [1,] 3 data.frame list [2,] 3 data.frame list [3,] 3 data.frame list [4,] 3 data.frame

Hi, Having 3 dataframes with different row numbers, but equal column names (see below) I want to merge them by Var1 so I've tried: merge(j1,j2,j3,by="Var1") merge(j,j1,j2,by=names("Var1")) But always got the same message: Erro en fix.by(by.x, x) : 'by' must specify column(s) as numbers, names or logical What I'm doing wrong? Thanks, Antonio j1

https://bugzilla.samba.org/show_bug.cgi?id=3186 ------- Comment #1 from foner-rsync-bugzilla@media.mit.edu 2005-11-22 14:16 MST ------- Any ideas on this? It's been open 5 weeks and probably got overlooked... Tnx! -- Configure bugmail: https://bugzilla.samba.org/userprefs.cgi?tab=email ------- You are receiving this mail because: ------- You are the QA contact for the bug, or are

hi there, I have a list of 5 identical dataframes: mydf <- data.frame(x=c(1:5), y=c(21:25)) mylist <- rep(list(mydf),5) and a factor variable with 5 levels: foo <- c(letters[1:5]) foo <- as.factor(foo) Question: I'd like to add a new variable to each dataframe in the list, each containing only one level of the factor variable. So mylist[[1]] should have a new variable z

Hello, I am having some problems to use the 'merge' function. I'm not sure if I got its working right. What I want to do is: 1) Suppose I have a dataframe like: height width 1 1.1 2.3 2 2.1 2.5 3 1.8 1.9 4 1.6 2.1 5 1.8 2.4 2) And I generate a second

Hello, Is there a simple way of stacking/merging two dataframes in R? I want to stack them piece-wise, not simply add one whole dataframe to the bottom of the other. I want to create as follows: x.frame: aX1 bX1 cX1 ... zX1 aX2 bX2 cX2 ... zX2 ... ... ... ... ... aX99 bX99 cX99 ... zX99 y.frame: aY1 bY1 cY1 ... zY1 aY2 bY2 cY2 ... zY2 ... ... ... ... ... aY99 bY99 cY99 ...

Hello, I have two dataframes DF1 and DF2 that should be identical but are not (DF1 has some rows that aren't in DF2, and vice versa). I would like to produce a new dataframe DF3 containing rows in DF1 that aren't in DF2 (and similarly DF4 would contain rows in DF2 that aren't in DF1). I have a solution for this problem (see self contained example below) but it's awkward and